11809 Other courses

During this 12 week course you will have the opportunity to work on your own project ideas to explore your different media choices.

You can attend the course in person only. Speaker: Jose A. Scheinkman (Columbia University) Estimates of total carbon stored in tropical forests exceed 200 billion tons. If released by deforestation, this stock would produce CO2 emissions that would exceed the estimates of total US emissions since pre-industrial times. On the other hand, major tropical forests systems have been substantially deforested. For instance, an area the size of the US State of Texas has been deforested in the Brazilian Amazon mostly for use in agriculture. This ecological disaster has also created an enormous opportunity for carbon capture through reforestation. The goal of these lectures is to acquaint researchers with data and methods that are used to evaluate the potential of these natural systems to capture carbon and the associated costs, as well as other important externalities generated by reforestation. We will use extensive physical and economic data from the Brazilian Amazon, the largest tropical forest in the world. These data show marked cross-sectional variability in the potential for carbon absorption and in productivity of the current alternative uses. We will assess the consequences of imposing alternative social costs of carbon emissions, including subsidies from abroad, on the optimal spatial/dynamic allocation of land-use in the Brazilian Amazon. While we consider a single central planner, the heterogeneity in productivities and natural state-constraints preclude the use of standard recursive dynamic methods. To treat risk, we will introduce Modified Predic+ve Control, a method originally developed in control theory and engineering to study multi-plant production in real time. To deal with the unavoidable uncertainty on the value of crucial parameters, we will consider model-determined robustness adjustments to the subjective probabilities of these parameters. We will once again discuss the necessary numerical methods; in this case Hamiltonian Monte Carlo, a method that has substantial advantage over the familiar MetropolisHastings approach in treating high-dimensional problems.

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. -------------------------------------------------------------------------------- Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: * We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project * We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms.  Course Outline: Supervised Machine Learning: * Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine * Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: * Clustering Algorithms: K-means clustering, Hierarchical Clustering * Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) * Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: * Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting * Reinforcement learning Algorithms: Q-Learning * Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: * The first part of a Machine Learning project understands the data and the problem at hand. * Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: * Python Machine Learning Certificate on completion   * Python Machine Learning notes * Practical Python Machine Learning exercises and code examples * After the course, 1 free, online session for questions or revision Python Machine Learning. * Max group size on this Python Machine Learning is 4. -------------------------------------------------------------------------------- REFUND POLICY No Refunds

Beginners photography workshop in Central London, helping you learn how to use your digital SLR camera and master interesting compositions in front of exciting subjects!

Learn how to administer vaccines or injections ... Nationally Recognised Qualification Includes IM, ID and Sub-Cut Injection methods OCN Accredited - Level 4 (Foundation Degree - FDSc) Covers all steps to safely perform a vaccination Use same techniques and skills for aesthetic therapies Includes B12, Vitamin C and other treatments Essential qualification for all injections Basic understanding of English language required OPEN TO ALL APPLICANTS

Hand reflexology is a massaging technique which works by applying pressure to reflex points within the hands. These reflex points are believed to be connected to other parts of the body, so as massaging occurs, it ensures that the whole body is treated during the reflexology session. This 3hr workshop teaches how to adapt your routine to target conditions such as low mood, depression and anxiety. We focus on the key areas association with these conditions. this course includes an online e-learning component for you t work through and then a 3hr practical session.

We're passionate about equipping churches to respond to domestic abuse. Our Domestic Abuse Awareness course will help you explore key questions around the issue of domestic abuse, like how to recognise the signs of domestic abuse, why domestic abuse happens, and how to start supporting survivors.

The Greek Online School Immersion Course for adults is back! In Summer 2023 we will learn Greek in the historic Anargyrios & Korgialenios School of Spetses!

Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company

1-2-1 Tuition ‘Learn something new and master your craft’Pattern cutting, making, design and business consultancy for Bags and Accessories Join us in the Hands of Tym Workshop, Oxfordshire (UK) for a day of learning and making. Learn directly from Leathersmith and London College of Fashion Lecturer, Georgie Tym. Who is 1-2-1 tuition for?1-2-1 tuition is ideal for those who want a tailor made session. An excellent choice if you’re looking to make a bag, pattern cutting, discuss your ideas or bag designs, or to engage in consultancy for your business. What to expect No matter your leather crafting dreams or goals, 1-2-1 tuition has you covered. Time: Sessions run from 10am - 4pm. There will be a light lunch served at midday and tea/ coffee breaks throughout. Location: Sessions can be run online or from the Workshop of Hands Of Tym in Banbury, Oxfordshire, OX16 9DH. Parking: Parking is available on the drive with easy access via the M40. Transport: Banbury train station is a 30 min walk. Trains run from both London Marylebone and Birmingham to Banbury in 50 minutes. We’re also well connected to Reading, Oxford, and Leamington Spa. WHAT'S INCLUDED IN THE PRICE? Materials are an ADDITIONAL cost. This includes all the leather, hardware and other materials required. There will be a selection of leather and hardware colours for you to choose from on the day or you may bring your own to use. CANCELLATION POLICY Easy - Cancellation and a full refund can be obtained up to 2 weeks before the course starts ABOUT GEORGIE AT HANDS OF TYM During training at Cordwainers, London College of Fashion in 2010 I learnt how to design, make and manufacture bags professionally. Following a varied career in Accessories design and development across many roles and international brands I set up Hands of Tym in 2016. The courses I offer are suitable for all, from experienced to total novice. Come along to learn something new, and design and make your own leather bag in a day.