There’s nothing better than a good book, is there? Here are our recommended non-technical data science books. Perfect for Data Scientists wanting to expand their knowledge, and take on a great book!
Everybody Lies: What The Internet Can Tell Us About Who We Really Are
Seth Stephens-Davidowitz
This book is a New York Times bestseller and the Economist book of the year for a reason. Seth takes a deep look into how the data from our internet searches reveal insights so personal about the human psyche as a whole that they’ve not been uncovered before. It’s not just a book about big data, but a study on the human mind. It uncovers interesting, funny and at times uncomfortable truths.
The Theory That Would Not Die
Sharon McGrayne
Sharon McGrayne takes a look at the history of Bayes’ rule. Uncovering how it went from a controversial mathematical theorem considered taboo for over 100 years, to being one of the most used today. She delves into the many ways in which Bayes’ theorem contributed to historical events, such as famously Alan Turing’s work in cracking the codes that helped shorten WW2.
Automating Inequality: How High-Tech Tools Profile, Police, And Punish The Poor
Virginia Eubanks
Through case studies, Virginia Eubanks takes us on a journey on the way in which automated decision making is impacting the lives of the most vulnerable in our society. She looks at homelessness, child protection and welfare in America in an engaging but disturbing read. For those interested in algorithmic bias, whilst it does lack some insight into the more positive changes we can make from a technological perspective.
Hello World: How To Be Human In The Age Of The Machine
Hannah Fry
An examination of the way algorithms influence our behaviours and decisions, shaping our lives and what this means as a whole. An interesting look at the problems and pitfalls of algorithmic bias, how they work and are implemented through the pairing of real-life stories to explain it accessibly for people at all levels of knowledge.
Thinking, Fast and Slow
Daniel Kahneman
This international bestseller offers a comprehensive look at human rationale – how we make choices through the faster (more intuitive) way of thinking, and slower (more rational) thinking. Kahneman’s book will certainly get you thinking and re-evaluating how you make decisions in the future. A great read for anyone working in data science. Tuning into smarter thinking and decision-making can make a huge impact in and out of work.
