<p>Are you interested in unlocking the secrets of heuristic algorithms in deep learning? Do you want to gain hands-on experience with R programming to build powerful and efficient models? If so, then our Essential Training on Deep Learning Heuristics using R is the perfect course for you!</p><p>In this course, you will learn how to apply heuristic algorithms to real-world problems in agriculture, cryptocurrencies, energy, and finance. With our step-by-step approach, you will gain a solid understanding of experimental design and be able to build models that can analyse large data sets and make predictions. Our experienced instructors will guide you through each module, ensuring that you have a thorough understanding of the concepts and can apply them to your own projects.</p><p>Whether you are a data analyst, machine learning engineer, or just someone interested in deep learning, this course is perfect for anyone looking to enhance their skills in R programming and heuristic algorithms. Join us today and discover the exciting world of deep learning heuristic algorithms with R!</p><p><strong>Learning Outcomes:</strong></p><ul><li>Develop an understanding of experimental design and how it applies to heuristics.</li><li>Learn how to apply heuristics to real-world problems in the agriculture, cryptocurrency, energy, and financial markets sectors.</li><li>Understand how to use R programming language for deep learning heuristics.</li><li>Develop skills in analyzing data sets and creating predictive models.</li><li>Learn how to implement different heuristics algorithms in R programming.</li></ul><p>The Essential Training on Deep Learning Heuristic using R is designed to provide students with a comprehensive understanding of heuristics and how they can be applied to various real-world problems. The course covers experimental design, data analysis, and predictive modelling using R programming language. Students will learn about different heuristics algorithms and how to implement them in R to solve complex problems in the agriculture, cryptocurrency, energy, and financial markets sectors.</p><p>Throughout the course, students will work on various projects that will help them develop practical skills in analyzing data sets and creating predictive models. They will learn how to design experiments, collect and analyse data, and create models that can be used to make predictions. By the end of the course, students will have a strong understanding of heuristics, and deep learning, and how to apply them to solve real-world problems.</p><p><strong>â±â±Essential Training on Deep Learning Heuristic using R</strong><strong> Course Curriculum </strong></p><ul><li><strong>Section 01: </strong>Experimental Design - Heuristics Project 1-Agriculture</li><li><strong>Section 02:</strong> Experimental Design - Heuristics Project 2-Cryptocurrencies</li><li><strong>Section 03: </strong>Experimental Design: Heuristics Project 3-Energy Sector</li><li><strong>Section 04: </strong>Experimental Design: Heuristics Project 4-Financial Markets</li></ul><p><strong>How is the course assessed?</strong></p><p>Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.</p><p><strong>Exam &amp; Retakes:</strong><br />It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.</p><p><strong>Certification</strong><br />Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Data scientists who want to learn how to apply deep learning heuristics to solve real-world problems.</li><li>Programmers who want to learn R programming language for data analysis and predictive modeling.</li><li>Professionals in the agriculture, cryptocurrency, energy, and financial markets sectors who want to apply heuristics to solve complex problems.</li><li>Students who want to learn about deep learning heuristics and how they can be applied to real-world problems.</li><li>Anyone interested in developing practical skills in data analysis and predictive modelling using R programming language.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal entry requirements for the course, with enrollment open to anyone!</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Deep Learning Engineer: £30,000 - £90,000</li><li>AI Researcher: £40,000 - £120,000</li><li>Data Scientist: £35,000 - £90,000</li><li>Machine Learning Engineer: £40,000 - £100,000</li><li>AI Architect: £50,000 - £150,000</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p>You can apply for a CPD Accredited PDF Certificate at the cost of £9.</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div> <p>Hard copy can be sent to you via post at the expense of £15.</p> </div>

                        </div>

One Education

Essential Training on Deep Learning Heuristic using R Course

General Admission

<p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">During this on-demand session Nikki discusses:</p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">the 3V&#39;s (construct, internal and external validity),</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">what makes a good hypothesis,</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">the PREPARE guidelines,</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">what to think about before designing your experiments including systematic reviews,</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">sources of bias and how to minimise their impact on your research,</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">defining the experimental unit,</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">approaches to maximise the signal to noise ratio, plus calculating the correct sample size,</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">common sources of variation and how to take them into account in your experimental design,</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">ARRIVE 2.0 for reporting animal studies.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Nikki also shares freely available tools and resources to provide individuals with additional support to develop their knowledge, understanding and skills further.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Participants will receive:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">One-time only access to recorded content with controls to pause &amp;/or rewind the session if required.</li><li fr-original-style="" style="box-sizing: border-box;">Access to download session handouts to keep for future reference.</li><li fr-original-style="" style="box-sizing: border-box;">Access to an exit quiz to check knowledge &amp; understanding of the key learning outcomes.</li><li fr-original-style="" style="box-sizing: border-box;">A certificate of attendance that can be used to record 1.5hours CPD.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Approx Duration - 1hr 39mins.</p>

Responsible Research In Practice

Animal Science

During this on-demand session tutor Dr Nikki Osborne discusses:
* the 3V's (construct, internal and external validity),
* what makes a good hypothesis,
* the PREPARE guidelines,
* what to think about before designing your experiments including systematic reviews,
* sources of bias and how to minimise their impact on your research,
* defining the experimental unit,
* approaches to maximise the signal to noise ratio, plus calculating the correct sample size,
* common sources of variation and how to take them into account in your experimental design,
* ARRIVE 2.0 for reporting animal studies.
* freely available tools and resources to support individuals to develop their knowledge, understanding and skills further. 

Common Pitfalls in Animal Study Design & How to Avoid Them

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					<div><p>Deep Learning Heuristics are a powerful tool for solving complex problems. They allow us to find approximate solutions to problems that are too difficult to solve exactly. Heuristics are often used with Deep Learning models to improve performance. R is a popular programming language for statistical computing and graphics. It is a powerful tool for developing and implementing Deep Learning Heuristic.</p><p>Each section of the course is an intriguing journey in itself, designed to cater to your intellectual curiosity while simultaneously equipping you with actionable knowledge and skills. In the agricultural sector, you will analyze data to uncover the effects of climate and other variables on crop production, which is crucial for ensuring food security and sustainability. The course then transports you into the volatile realm of cryptocurrencies, where you will use heuristics to predict market trends and make informed decisions. The energy sector offers a unique challenge, as you will explore ways to optimize consumption and production, thereby contributing to a more sustainable future. In the financial markets section, your analytical skills will be put to the test as you decipher patterns to forecast market movements accurately.</p><p>By the end of this course, you will emerge not just as a proficient user of R but also as a well-rounded professional with a comprehensive understanding of how deep learning heuristics can be leveraged to tackle world problems in various industries. This training is a golden opportunity for anyone passionate about data analysis, problem-solving, and making a significant impact in their respective fields. So, why wait? Join us today and take the first step towards mastering the fascinating world of deep learning heuristic using R.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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										<span>Grasp the fundamental concepts of deep learning heuristic.</span>
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										<span>Develop proficiency in R for data analysis.</span>
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										<span>Apply deep learning heuristic to agricultural data.</span>
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										<span>Understand the dynamics of cryptocurrencies through heuristic analysis.</span>
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										<span>Utilize heuristics in solving energy consumption and production problems.</span>
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										<span>Analyze financial market trends using deep learning heuristics.</span>
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										<span>Synthesize knowledge from various sectors to create innovative solutions.</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>Acquire specialized skills in deep learning heuristics.</span>
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										<span>Enhance your R programming capabilities.</span>
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										<span>Gain insights into multiple sectors including agriculture and finance.</span>
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										<span>Solve complex problems with innovative strategies.</span>
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										<span>Elevate your career in data analytics and problem-solving.</span>
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			<h2> <b>Career Path</b></h2>		</div>
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										<span>Data Analyst</span>
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										<span>Financial Analyst</span>
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										<span>Agricultural Analyst</span>
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										<span>Energy Analyst</span>
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										<span>Cryptocurrency Analyst</span>
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										<span>Heuristics Specialist</span>
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			<h2> <b>Requirements</b></h2>		</div>
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										<span>A foundational understanding of deep learning concepts.</span>
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										<span>Basic knowledge of the R programming language.</span>
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										<span>A keen interest in data analysis and problem-solving.</span>
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                                <h2>Course Curriculum</h2>
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					<td colspan="4"><strong>Section 01: Experimental Design - Heuristics Project 1-Agriculture</strong></td>
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					<td>▶</td>
					<td>Course Contents</td><td><span>🕐 00:08:00</span></td>
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					<td>Creating Dataframes</td><td><span>🕐 00:09:00</span></td>
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					<td>Generating Descriptive</td><td><span>🕐 00:11:00</span></td>
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					<td>Generating Descriptive Continued</td><td><span>🕐 00:10:00</span></td>
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					<td colspan="4"><strong>Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies</strong></td>
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					<td>Setting Directory and Environment</td><td><span>🕐 00:11:00</span></td>
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					<td>Assigning Variables</td><td><span>🕐 00:09:00</span></td>
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					<td>Syntax and Command Part 3</td><td><span>🕐 00:07:00</span></td>
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					<td>Setting Directory and Environment-Cryptocurrencies</td><td><span>🕐 00:09:00</span></td>
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					<td>Generating Line Graphs</td><td><span>🕐 00:09:00</span></td>
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					<td>Generating Scatter Plots</td><td><span>🕐 00:10:00</span></td>
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					<td>Generating Multiple Scatter Plots</td><td><span>🕐 00:10:00</span></td>
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					<td colspan="4"><strong>Section 03: Experimental Design: Heuristics Project 3-Energy Sector</strong></td>
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					<td>Understanding Regression Modeling Theory</td><td><span>🕐 00:10:00</span></td>
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					<td>Implementing Linear Regression Modeling</td><td><span>🕐 00:10:00</span></td>
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					<td>Syntax and Commands</td><td><span>🕐 00:10:00</span></td>
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					<td>Generating Scatter Plots-Energy Sector</td><td><span>🕐 00:09:00</span></td>
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					<td>Multiple Scatter Plots</td><td><span>🕐 00:09:00</span></td>
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					<td colspan="4"><strong>Section 04: Experimental Design: Heuristics Project 4-Financial Markets</strong></td>
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					<td>Creating Dataframes-Financial Markets</td><td><span>🕐 00:08:00</span></td>
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					<td>Understanding Multiple</td><td><span>🕐 00:09:00</span></td>
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					<td>Implementing Multiple Regression Model in R</td><td><span>🕐 00:10:00</span></td>
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					<td>Plot and Draw Line of Fit</td><td><span>🕐 00:10:00</span></td>
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					<td>Multiple Scatter Plots in a Graphical Frame</td><td><span>🕐 00:07:00</span></td>
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					<td colspan="4"><strong>Resource</strong></td>
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					<td>Resource - Essential Training on Deep Learning Heuristic using R</td><td><span>🕐 00:00:00</span></td>
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Skill Up

Data Engineering

Big Data Analytics

Data Science

Data Skills

Master Deep Learning Heuristics with R! This course will teach you how to use Deep Learning Heuristics to solve complex problems in Agriculture, Cryptocurrencies, Energy Sector, and Financial Markets. With R, you will be able to develop and implement efficient and scalable solutions.

Essential Training on Deep Learning Heuristic using R

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			<h2>Description </h2>		</div>
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				<p>Register on the Essential Training on Deep Learning Heuristic using R today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.</p><p>The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.</p><p>Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion.</p><p>The Essential Training on Deep Learning Heuristic using R course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones.</p><p>The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!</p>					</div>
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			<h2>What You Get With This Course</h2>		</div>
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										<span>Receive a digital certificate upon successful completion of the course</span>
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										<span>Get taught by experienced, professional instructors</span>
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										<span>Study at a time and pace that suits your learning style</span>
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										<span>Get instant feedback on assessments</span>
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										<span>24/7 help and advice via email or live chat</span>
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										<span>Get full tutor support on weekdays (Monday to Friday)</span>
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			<h2>Certificate of Achievement </h2>		</div>
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				<p><span>After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. </span></p>					</div>
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			<h2>Method of Assessment 
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				<p><span>You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately.</span></p>					</div>
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					</div>
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								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Who Is This Course For</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p>The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.</p><p><span> </span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
									</div>
			</div>
					</div><div>
				<h3>Course Content</h3>

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4">Section 01: Experimental Design - Heuristics Project 1-Agriculture</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Course Contents</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Dataframes</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Generating Descriptive</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Generating Descriptive Continued</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Setting Directory and Environment</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assigning Variables</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Syntax and Command Part 1</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Syntax and Command Part 2</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Syntax and Command Part 3</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Setting Directory and Environment-Cryptocurrencies</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Spearman Techniques</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Generating Line Graphs</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Generating Scatter Plots</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Generating Multiple Scatter Plots</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 03: Experimental Design: Heuristics Project 3-Energy Sector</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Understanding Regression Modeling Theory</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Implementing Linear Regression Modeling</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Syntax and Commands</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Generating Scatter Plots-Energy Sector</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Multiple Scatter Plots</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 04: Experimental Design: Heuristics Project 4-Financial Markets</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Dataframes-Financial Markets</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Understanding Multiple</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Implementing Multiple Regression Model in R</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Plot and Draw Line of Fit</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Multiple Scatter Plots in a Graphical Frame</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Resource</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resource - Essential Training on Deep Learning Heuristic using R</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
			<h2>Frequently Asked Questions</h2>
                        <div>
                            <div>
                                <span>
                                    Are there any prerequisites for taking the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I access the course at any time, or is there a set
                                    schedule?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How long will I have access to the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Is there a certificate of completion provided after
                                    completing the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I switch courses or get a refund if I'm not satisfied
                                    with the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        We want you to have a positive learning experience. If
                                        you're not satisfied with the course, you can request a
                                        course transfer or refund within 14 days of the initial
                                        purchase.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How do I track my progress in the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Our platform provides tracking tools and progress
                                        indicators for each course. You can monitor your progress,
                                        completed lessons, and assessments through your learner
                                        dashboard for the course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    What if I have technical issues or difficulties with the
                                    course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        If you encounter technical issues or content-related
                                        difficulties with the course, our support team is
                                        available to assist you. You can reach out to them for
                                        prompt resolution.
                                    </p>
                                </div>
                            </div>
                        </div>

Janets

Learning & Development

Online Course Marketing

Online Course Creation

Learning To Learn

Trainers Course

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts</p>Overview<p>This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course.<br />Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below<br />Getting Started &amp; Optional Python Quick Refresher<br />Statistics and Probability Refresher and Python Practice<br />Probability Density Function; Probability Mass Function; Naive Bayes<br />Predictive Models<br />Machine Learning with Python<br />Recommender Systems<br />KNN and PCA<br />Reinforcement Learning<br />Dealing with Real-World Data<br />Experimental Design / ML in the Real World<br />Time Permitting: Deep Learning and Neural Networks</p><p>Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices.  This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning.  Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then  explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms</p></div><div id="course-pills-2"><h4>Getting Started</h4><ul><li>Installation: Getting Started and Overview</li><li>LINUX jump start: Installing and Using Anaconda &amp; Course Materials (or reference the default container)</li><li>Python Refresher</li><li>Introducing the Pandas, NumPy and Scikit-Learn Library</li></ul><h4>Statistics and Probability Refresher and Python Practice</h4><ul><li>Types of Data</li><li>Mean, Median, Mode</li><li>Using mean, median, and mode in Python</li><li>Variation and Standard Deviation</li></ul><h4>Probability Density Function; Probability Mass Function; Naive Bayes</h4><ul><li>Common Data Distributions</li><li>Percentiles and Moments</li><li>A Crash Course in matplotlib</li><li>Advanced Visualization with Seaborn</li><li>Covariance and Correlation</li><li>Conditional Probability</li><li>Naive Bayes: Concepts</li><li>Bayes? Theorem</li><li>Naive Bayes</li><li>Spam Classifier with Naive Bayes</li></ul><h4>Predictive Models</h4><ul><li>Linear Regression </li><li>Polynomial Regression</li><li>Multiple Regression, and Predicting Car Prices </li><li>Logistic Regression</li><li>Logistic Regression</li></ul><h4>Machine Learning with Python</h4><ul><li>Supervised vs. Unsupervised Learning, and Train/Test</li><li>Using Train/Test to Prevent Overfitting</li><li>Understanding a Confusion Matrix</li><li>Measuring Classifiers (Precision, Recall, F1, AUC, ROC)</li><li>K-Means Clustering</li><li>K-Means: Clustering People Based on Age and Income</li><li>Measuring Entropy</li><li>LINUX: Installing GraphViz</li><li>Decision Trees: Concepts</li><li>Decision Trees: Predicting Hiring Decisions</li><li>Ensemble Learning</li><li>Support Vector Machines (SVM) Overview</li><li>Using SVM to Cluster People using scikit-learn</li></ul><h4>Recommender Systems</h4><ul><li>User-Based Collaborative Filtering</li><li>Item-Based Collaborative Filtering</li><li>Finding Similar Movie</li><li>Better Accuracy for Similar Movies</li><li>Recommending movies to People</li><li>Improving your recommendations</li></ul><h4>KNN and PCA</h4><ul><li>K-Nearest-Neighbors: Concepts</li><li>Using KNN to Predict a Rating for a Movie</li><li>Dimensionality Reduction; Principal Component Analysis (PCA)</li><li>PCA with the Iris Data Set</li></ul><h4>Reinforcement Learning</h4><ul><li>Reinforcement Learning with Q-Learning and Gym</li></ul><h4>Dealing with Real-World Data</h4><ul><li>Bias / Variance Tradeoff</li><li>K-Fold Cross-Validation</li><li>Data Cleaning and Normalization</li><li>Cleaning Web Log Data</li><li>Normalizing Numerical Data</li><li>Detecting Outliers</li><li>Feature Engineering and the Curse of Dimensionality</li><li>Imputation Techniques for Missing Data</li><li>Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE</li><li>Binning, Transforming, Encoding, Scaling, and Shuffling</li></ul><h4>Experimental Design / ML in the Real World</h4><ul><li>Deploying Models to Real-Time Systems</li><li>A/B Testing Concepts</li><li>T-Tests and P-Values</li><li>Hands-on With T-Tests</li><li>Determining How Long to Run an Experiment</li><li>A/B Test Gotchas</li></ul><h4>Capstone Project</h4><ul><li>Group Project &amp; Presentation or Review</li></ul><h4>Deep Learning and Neural Networks</h4><ul><li>Deep Learning Prerequisites</li><li>The History of Artificial Neural Networks</li><li>Deep Learning in the TensorFlow Playground</li><li>Deep Learning Details</li><li>Introducing TensorFlow</li><li>Using TensorFlow</li><li>Introducing Keras</li><li>Using Keras to Predict Political Affiliations</li><li>Convolutional Neural Networks (CNN?s)</li><li>Using CNN?s for Handwriting Recognition</li><li>Recurrent Neural Networks (RNN?s)</li><li>Using an RNN for Sentiment Analysis</li><li>Transfer Learning</li><li>Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters</li><li>Deep Learning Regularization with Dropout and Early Stopping</li><li>The Ethics of Deep Learning</li><li>Learning More about Deep Learning</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

Managed Learning Programme (MLP)

Machine Learning (ML)

NLP Practitioner

Azure Machine Learning

Machine Learning Essentials with Python (TTML5506-P)

<p>Ignite your passion for the fascinating world of chemistry with our comprehensive bundle: Diploma in Chemistry, Water Chemistry &amp; Biochemistry. Are you ready to embark on a journey of scientific discovery and unlock the secrets of matter, water, and life itself? In the United Kingdom, the field of chemistry offers a wide range of career opportunities with competitive salaries ranging from £25,000 to £50,000 per year.</p><p>This dynamic bundle encompasses three immersive courses that cover the fundamentals of chemistry, specialised knowledge in water chemistry, and the captivating realm of biochemistry. Our courses delve into crucial topics such as chemical reactions, laboratory techniques, water quality analysis, environmental chemistry, and the biochemical processes that underpin life.</p><p>Each course in this Chemistry bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Diploma in Chemistry bundle promises education and an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p><strong>Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now!</strong></p><p><strong>The three courses in this bundle include:</strong></p><ul><li><strong>Course1: </strong>Diploma in Basic Chemistry</li><li><strong>Course 2: </strong>Diploma in Water Chemistry</li><li><strong>Course 3: </strong>Biochemistry</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Develop a comprehensive understanding of chemistry's fundamental principles and concepts, including atomic structure, chemical bonding, and reaction mechanisms.</li><li>Acquire specialised knowledge in water chemistry, including water quality analysis, environmental impact assessment, and treatment processes.</li><li>Gain an in-depth understanding of the biochemical processes in living organisms, including the structure and function of biomolecules, enzymatic reactions, and metabolic pathways.</li><li>Develop practical laboratory skills, including experimental design, data analysis, and advanced analytical techniques.</li><li>Enhance critical thinking and problem-solving skills, enabling you to analyse complex chemical and biochemical phenomena and propose solutions.</li><li>Apply ethical and safety considerations in chemical and biochemical research and practice.</li></ul><p><strong>The Diploma in Basic Chemistry </strong>provides a solid foundation in the fundamental principles of chemistry. From the microscopic world of atoms and molecules to the macroscopic behaviour of matter, you will embark on a journey to understand the universe's building blocks. You will develop a deep understanding of chemical reactions, stoichiometry, and the periodic table through engaging theoretical concepts and hands-on laboratory experiments.</p><p><strong>The Diploma in Water Chemistry</strong> delves into the intriguing realm of water and its interactions with chemical substances. You will explore the unique properties of water, its importance in environmental systems, and the challenges faced in maintaining water quality. Dive into the study of water treatment methods, water analysis techniques, and the impact of pollutants on aquatic ecosystems.</p><p><strong>The Biochemistry </strong>course unravels the intricate biochemical processes that underpin life itself. From the structure and function of biomolecules to the mechanisms of enzyme reactions and cellular metabolism, you will delve into the molecular mechanisms that drive biological systems. This course will give you a deep appreciation for the interconnectedness of chemical processes within living organisms. You will explore the role of biochemistry in fields such as medicine, biotechnology, and pharmaceuticals, paving the way for exciting career opportunities in cutting-edge scientific research and innovation.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        15 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This course is perfect for:</p><ul><li>Students aspiring to pursue a career in the chemistry field.</li><li>Professionals are seeking to enhance their knowledge and skills in these fields.</li><li>Graduates who wish to broaden their understanding and practical expertise in chemistry and its applications.</li><li>Environmental scientists and engineers are interested in water quality assessment and environmental impact assessment.</li><li>Healthcare professionals want to deepen their understanding of biochemistry and its relevance to medical practice.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Without any formal requirements, you can delightfully enrol in this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Our course will prepare you for a range of careers, including:</p><ul><li>Analytical Chemist: £20,000 - £40,000 per year</li><li>Water Quality Analyst: £25,000 - £35,000 per year</li><li>Environmental Consultant: £25,000 - £45,000 per year</li><li>Pharmaceutical Research Scientist: £30,000 - £50,000 per year</li><li>Biochemist: £25,000 - £45,000 per year</li><li>Laboratory Technician: £18,000 - £30,000 per year</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate Of Completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate Of Completion</h4>
        <p>
            Hard copy certificate -
            £9.99
        </p>
            <div><p>Certificate Of Completion</p><p>Unlock your potential and showcase your accomplishments with our CPD Quality Standards certificates!</p><p>Upon successful completion of the course, learners can obtain a CPD Quality Standards PDF certificate for <strong>Diploma in Basic Chemistry</strong> absolutely free!</p><p>Upon finishing the <strong>Diploma in Water Chemistry</strong> and <strong>Biochemistry</strong>, you'll have the opportunity to obtain valuable proof of your achievement. For just £4.99, we'll send you a CPD Quality Standards PDF Certificate via email, or if you prefer, you can get a beautifully printed hardcopy certificate for £9.99 in the UK. If you're located internationally, don't worry! We offer a printed hardcopy certificate for £14.99, ensuring your success knows no boundaries. Grab your certificate and celebrate your success today!</p></div>

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