Short form: Win-Vector LLC’s Dr. Nina Zumel has a three part series on Principal Components Regression that we think is well worth your time. Part 1: the proper preparation of data (including…
Ryan Marcus, assistant professor at the University of Pennsylvania. Using machine learning to build the next generation of data systems.
An introduction to parfit
The author presents 10 statistical techniques which a data scientist needs to master. Build up your toolbox of data science tools by having a look at this great overview post.
The Kullback-Leibler divergence between two probability distributions is sometimes called a "distance," but it's not. Here's why.
Stay up-to-date on the latest data science and AI news in the worlds of artificial intelligence, machine learning, deep learning, implementation, and more.
380 votes, 20 comments. 2.9M subscribers in the MachineLearning community. Beginners -> /r/mlquestions , AGI -> /r/singularity, career advices ->…
Artificial intelligence (AI) is hot. Over $4 billion in venture capital has been invested in AI firms just in the US. But supply chain planning software companies, with their cadre of operations research Ph.Ds who have been modeling complex problems for decades, may be better…
Model evaluation metrics are used to assess goodness of fit between model and data, to compare different models, in the context of model selection, and to predict how predictions (associated with a specific model and data set) are expected to be accurate. Confidence Interval…
Nina Zumel prepared an excellent article on the consequences of working with relative error distributed quantities (such as wealth, income, sales, and many more) called “Living in A Lognormal…
A new “shrinking bull’s-eye” algorithm from researchers at MIT speeds up complex modeling from days to hours.
In this article, I'll take you through a list of guided projects to master AI & ML with Python. AI & ML Projects with Python.
Documentation, tutorials and guides for the Gradio ecosystem..
Important concepts in information theory, machine learning, and statistics