Everyday Data Science

by Andrew N. Carr

Everyday data science is a collection of tools and techniques you can use to master data science in your day-to-day life. There are case studies, tutorials, code snippets, pictures, math, and jokes. All designed as a fun introduction to the world of data science. Some example chapters include, A/B testing to make perfect lemonade, word vectors to improve your resume, differential equations for weight loss, and how a man used statistics to qualify for the Olympics. Life is full of decisions. We, as people, have the remarkable ability to make decisions in the face of uncertainty. We, as humans, have only recently developed the ability to use computers to process vast amounts of data to improve our decision making. This innovation has led to the development of the field of Data Science. This book is written to give tools and inspiration to aspiring decision makers. You make decisions daily and the methodology of data science can help.

Genres: Science

116 pages, ebook

Reviews

[Wanasit · Rating 2 out of 5]

This is a short book (it is also printed with extra space between lines). I feel it is just like a collection of 5-6 Medium articles putting together.

I think the content is too technical for people without a background in data science. However, at the same time, if you already have some background, I don't think this book would let you learn anything new.

[ben · Rating 1 out of 5]

There is actually only about 15 pages of content, the author uses huge margin, blank pages, and half page content to increase page count.

You can finish the whole book in about 1 hour.

The content is extremely low quality, it is written by someone who was still probably in school.

It is absolutely a con.

The author should be ashamed to even call this a book to be honest.

[Slawomir Walczak · Rating 2 out of 5]

Szału bez, krótko i pobieżnie. Plus za ODE