Reviews

Encyclopediae

• MathWorld Encyclopedia by wolfram
• Encyclopedia of Mathematics wiki by Kluwer Academic Publishers, 2002
• Introduction to Probabilistic Programming by Ayan Das, 2020

Mathematics for machine learning

• Boosting Vector Calculus with the Graphical Notation by Joon-Hwi Kim et al., 2019

Functional data analysis

• Math3ma by Thai-Danae Bradley, 2020
• At the Interface of Algebra and Statistics by Tai-Danae Bradley, 2020 (category theory)
• AlgebraNets by Jordan Hoffmann et al., 2020

Statistics

• Overview of data distributions
• The control of the false discovery rate in multiple testing under dependency by Yoav Benjamini and Daniel Yekutieli, 2001
• Conjugate Priors for Generalized Linear Models by Ming-Hui Chen and Joseph G. Ibrahim, 2003

Programming

• [Papers with code]
• Over 200 of the Best Machine Learning, NLP, and Python Tutorials by Robbie Allen, 2018

Technical communications

• English Communication for Scientists by Nature Education, 2014
• Writing a scientific article: A step-by-step guide for beginners by F.Ecarnot et al., 2015 in European Geriatric Medicine
• 11 steps to structuring a science paper editors will take seriously by By Angel Borja, 2014 in Elsevier connections
• How to Write a GoodScientific Paper by Chris A. Mack, 2018 in SPIE.org

Unsorted

• Python, Machine Learning, Deep Learning and Data Science Books

Reviews for teenagers

• When Bayes, Ockham, and Shannon come together to define machine learning by Tirthajyoti Sarkar, 2018
• Introduction to Recurrent Neural Networks by Dishashree Gupta, 2017
• Bayes by Backprop (BBB): Robust Neural Networks to Unified theory of Brain? by Jehill Parikh, 2019

News, sensationalism

• Deep learning: sate of the art by Lex Fridman, MIT, 2020