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Top Statistics Books

The AI Optify data team writes about topics that we think data scientists will love. AI Optify has affiliate partnerships so we may get a share of the revenue from your purchase.

Best Statistics Books - For this post, we have scraped various signals (e.g. online ratings and reviews, topics covered, author influence in the field, year of publication, social media mentions, etc.) from web. We have fed all above signals to a Machine Learning algorithm to compute a score and rank the top books.

The readers will love our list because it is Data-Driven & Objective. Enjoy the list:

1. All of Statistics: A Concise Course in Statistical Inference

This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas­ sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con­ ducted in statistics departments while data mining and machine learning re­ search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel.