Data Science Leadership Exchange: Best Practices for Driving Outcomes Despite an increasing awareness of the role data science plays in successful business outcomes, data science leaders still struggle to organize, implement and communicate effective data science initiatives. Some of the industry's best and brightest from Bayer, S&P Global and Transamerica will be presenting their insights and experiences. Data Science Leadership Exchange: Best Practices for Driving Outcomes Despite an increasing awareness of the role data science plays in successful business outcomes, data science leaders still struggle to organize, implement and communicate effective data science initiatives. Some of the industry's best and brightest from Bayer, S&P Global and Transamerica will be presenting their insights and experiences.

It does look like a cheat sheet with everything you need to know in terms of formulas used in standard machine learning algorithms. It would be helpful if someone could add some meat to this document, in particular, adding some context and explanations for each formula. Many of these formulas are nicely illustrated here (scroll to the bottom of the page after clicking on the link.)