… Probability theory offers a simple answer: Bayes’ theorem."Perspective “Our sense of lightness and color is a way of assaying materials. … A camera’s meter embodies two assumptions. The first is that lighting is uniform. … The second assumption is that the scene is, on average, ...
Explore practical solutions, advanced retrieval strategies, and agentic RAG systems to improve context, relevance, and accuracy in AI-driven applications. 4.7 Microsoft Excel: Formulas & Functions Master MS Excel for data analysis with key formulas, functions, and LookUp tools in this comprehensive cou...
Explore practical solutions, advanced retrieval strategies, and agentic RAG systems to improve context, relevance, and accuracy in AI-driven applications. 4.7 Microsoft Excel: Formulas & Functions Master MS Excel for data analysis with key formulas, functions, and LookUp tools in this comprehensive cou...
Suppose you enter this formula on cell A1 in Excel. To generate (say) 10,000 values for the maintenance savings value, just (1) copy the contents of cell A1, (2) enter “A1:A10000” in the cell range field to select cells A1 through A10000, and (3) paste the formula into all t...
Bayes Theorem is a fundamental concept of probability that underpins many extremely important algorithms, from the very basic (e.g., Naive Bayes) to the quite complicated (e.g., Latent Dirichlet Allocation).In linear algebra, a solid understanding of eigenvalues and eigenvectors is important for ...
replication distributions. Because most stat-packs return the two-tailedp-value, that is halved in the above Excel formulae. In most replication studies there is an additive random effects variance of around 0.1 (Richard, Bond, & Stokes-Zoota,2003), especially important to include in large-n...
Explore practical solutions, advanced retrieval strategies, and agentic RAG systems to improve context, relevance, and accuracy in AI-driven applications. 4.7 Microsoft Excel: Formulas & Functions Master MS Excel for data analysis with key formulas, functions, and LookUp tools in this comprehensive cou...
For multi-level dependent variables, there are many machine learning algorithms that can do the job for you; such as naive Bayes, decision trees, random forests, etc. For starters, these algorithms can be a bit difficult to understand. But, if you very well understand logistic regression, mas...
Probability & Statistics: Basic probability, Bayes theorem, distributions (normal, binomial, Poisson), hypothesis testing, p-values, confidence intervals. Resources: Book: “Essence of Linear Algebra” (Grant Sanderson’s 3Blue1Brown videos are excellent). Course: Khan Academy – Statistics and Proba...
when we consider the evidence of ‘good form’ can be calculated via Bayes’ theorem: 𝑃(𝑖𝑛𝑐𝑜𝑟𝑟𝑒𝑐𝑡𝑑𝑎𝑡𝑎|𝑔𝑜𝑜𝑑𝑓𝑜𝑟𝑚)=𝑃(𝑔𝑜𝑜𝑑𝑓𝑜𝑟𝑚|𝑖𝑛𝑐𝑜𝑟𝑟𝑒𝑐𝑡𝑑𝑎𝑡𝑎)𝑃(𝑖𝑛𝑐𝑜𝑟𝑟𝑒...