David provides a deep overview of ten equations: Betting, Judgement, Confidence, Skill , Influencer, Market, Advertising, Reward, Learning, and The Universal Equation. Each equation (algorithm) includes stories that certainly provide deeper understanding.
On the other hand, the opening chapter did not really connect with me. The Betting Equation focuses on UK soccer and for reveals how betting odds can be adjusted against reality.
Nevertheless, I am not sure why this did not resonate as the rest of the book is just delightful to read.
In addition, the second chapter, Judgement Equation is the basis of Bayesian statistics and this storyline really stuck with me.
Furthermore, it is great to see David reference The Signal and the Noise by Nate Silver within the third chapter, The Confidence Equation.