For one- or two-semester business statistics courses. Not a new book, but a popular one (8th edition.)

This text is the gold standard for learning how to use Excel in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text…

Independently published (November 20, 2018). 78 pages.

This book intends to provide an overview of Machine Learning and its algorithms & models with help of R software. Machine learning forms the basis for Artificial Intelligence which will play a crucial role in day to day life of human beings in the near future. A basic understanding of machine learning is required, as its application is widely seen in different fields such as banks and financial sectors,…

New book, in progress. By Andriy Burkov, Machine Learning Team Leader at Gartner.

The following chapters are currently available:

Foreword

Chapter 1: Introduction

Part I: Supervised Learning

Chapter 2: Notation and Definitions

Chapter 3: Fundamental Algorithms

Chapter 4: Anatomy of a Learning Algorithm

Chapter 5: Basic Practice

Chapter 6: Neural Networks and Deep…

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis…

This book, initially written for chemical engineers, is actually very interesting for data scientists and machine learning engineers alike. For more free books, visit this page.…

Online Statistics Education: A Multimedia Course of Study.  Project Leader: David M. Lane, Rice University.

Content:

• Introduction
• Graphing Distributions
• Summarizing Distributions
• Describing Bivariate Data
• Probability
• Research Design
• Normal Distributions
• Advanced Graphs
• Sampling…

These pictures were posted on Quora by Oleg Sergeykin, former Structural Analysis Engineer at Boeing. His philosophy is that Data science is actually an iterative processes. It is never possible to complete a DS project in a single pass. A data scientist constantly tries new ideas and changes steps of his pipeline.…

Many are free. They are available online. They are offered by Princeton, Georgia Tech, Harvard, Columbia, Stanford, and Penn State. 

• Neural Networks and Deel Learning - Andrew Ng via Coursera
• Machine Learning - Georgia Institute of Technology via Udacity…

This is the new book by Andrew Ng, still in progress. Andrew Yan-Tak Ng is a computer scientist and entrepreneur. He is one of the most influential minds in Artificial Intelligence and Deep Learning. Ng founded and led Google Brain and was a former VP & Chief Scientist at Baidu, building the company's Artificial Intelligence Group into several thousand people. He is an adjunct professor (formerly associate professor and Director of the AI Lab) at Stanford University. Ng is also an early…

The Explainable Machine Learning Challenge is a collaboration between Google, FICO and academics at Berkeley, Oxford, Imperial, UC Irvine and MIT, to generate new research in the area of algorithmic explainability. Teams will be challenged to create machine learning models with both high accuracy and explainability; they will use a real-world financial dataset provided by FICO. Designers and end users of machine learning algorithms will both benefit from more interpretable and…

The Practical Guide to Storing, Managing and Analyzing Big and Small Data -- Cambridge University Press.

This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a…

In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors.

This book bridges the gap that exists between purely technical books about the blockchain and purely business-focused books. It does so by explaining both the technical…

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you

About This Book

• Step into the amazing world of intelligent apps using this comprehensive guide
• Enter the world of Artificial Intelligence, explore it, and create your own applications
• Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in…

Yet another funny cartoon about data scientists. More cartoons about data science, can be found here.

This one was originally posted…

I found this on Facebook, but it could be 30 years old. Not sure who the original author was, but the quality was very poor, so I re-created it in Excel. I did not change anything to keep it funny as intended. Of course, you should add a back loop in the Machine Learning box: an arrow pointing from the "Program" box back to the "Output" box.…

A Guide for Making Black Box Models Explainable, by Christoph Molnar.

Preface

Machine learning has a huge potential to improve products, processes and research. But machines usually don’t give an explanation for their predictions, which hurts trust and creates a barrier for the adoption of machine learning. This book is about making machine learning models and their decisions interpretable.

Machine learning models are already used to choose the best…

This collection covers much more than the topics listed in the title. It also features Azure, Python, Tensorflow, data visualization, and many other cheat sheets. Additional cheat sheets can be found here and here. Below is a screenshot (extract from the data…

Great infographics on how to choose the right language for you to learn. Originally posted here.…

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you.

About This Book

• Step into the amazing world of intelligent apps using this comprehensive guide
• Enter the world of Artificial Intelligence, explore it, and create your own applications
• Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time

Who This Book Is…

Full title: The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World – February 13, 2018.

About the Author…