In a discussion about the book, "Everybody Lies", the speaker expresses his desire for the author to have given more insight on what to do with the data provided. He reflects on the challenge of getting people to pay attention to important books in comparison to more trivial ones.
The speaker discusses the benefits and drawbacks of having a variety of programming languages for optimization and data science, while also highlighting AMPL, a language for mathematical programming.
This episode explores the importance of data in our daily lives. It looks at how the human brain processes data, how loss of data can affect our stability, and how data is important for us to function effectively.
Organizations that invest in thorough data science training for their employees not only benefit from improved testing frameworks and pursuit of truth, but also gain a positive reputation that lures in recruits who want to advance their careers in data science.
Data scientist Seth Stephens-Davidowitz discusses his analysis of Pornhub searches and the revolutionary window into people's minds that it provides.
