Reading list for my “Machine Learning for Business” introductory course. It only lists introductory material which is available online for free.
Hugo Zaragoza (<hugo@hugo-zaragoza.net>). Last update: 2016-12-23.
Machine Learning for Business
Chris Taylor: A better way to tackle all the data
Machine Learning and Cognitive Systems: The Next Evolution of Enterprise Intelligence
Machine Learning and Cognitive Systems, Part 2: Big Data Analytics
Machine learning applications: Five innovations that will change our lives within five years
Six Novel Machine Learning Applications
10 Surprising Machine Learning Applications
Machine Learning and Predictive Analytics Foster Growth
Medical Sector
Machine learning and health care mean 6M for Predilytics
‘Machine learning’ may contribute to new advances in plastic surgery
TOP 5 COMPANIES REVOLUTIONIZING HEALTHCARE WITH MACHINE LEARNING
Doctors will routinely use your DNA to keep you well
Cyber-Security and Fraud Detection
How PayPal beats the bad guys with machine learning
When Cyber Security Meets Machine Learning
Machine Learning sets new standard in network based application whitelisting
Hospitality Sector
How the hospitality sector is slowly waking up to Big Data analytics
Reaching Beyond the Stars: How to Mine the Best Insights from your Hotel Reviews
Devices
How Predictive Keyboards Work (and How You Can Train Yours Better)
Shopping
Natural Language Processing, Machine Learning Power Staples Ordering System
Education
Smart Cities, Transporation and Energy
The city will help you live in it
Predictive Analytics for Traffic
Google taps machine learning technology to zap data center electricity costs
Misc
How Microsoft is Helping Conservationists Protect The Masai Giraffe
Text analytics and machine learning: Power to the people
Machine Learning Algorithms
Framework
Introduction to machine learning: five things the quants wish we knew
Pedro Domingos: A Few Useful Things to Know about Machine Learning
Christopher Bishop: Pattern Recognition and Machine Learning
Wikipedia Book: Machine Learning – The Complete Guide
Algorithms
Raul Rojas, Neural Networks – A Systematic Introduction
Ivan Vasilev: From Perceptrons to Deep Networks
Feature Engineering
Discover Feature Engineering, How to Engineer Features and How to Get Good at It
The Future
The Future of Machine Intelligence (free Ebook from O’Reilly, 2016)