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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.
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.