Tag: linear regression

NIPS (Neural Information Processing Systems) Conference


From NIPS Conference site: “The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting” Next event:  December 4 – 9, 2017 – Long Beach, CA Registration begins August 17, 2017 Videos from NIPS Conference 2016: NIPS … Continue Reading

Machine Learning Cheat Sheet

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This cheat sheet contains many classical equations and diagrams on machine learning, which will help you quickly recall knowledge and ideas in machine learning.

The Analytics Edge

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Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.

Practical Data Science with R


Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations using examples from marketing, business intelligence, and decision support.

Pattern Recognition and Machine Learning


This textbook is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics, and is aimed at advanced undergraduates or 1st-year PhD students, as well as practitioners.

Data Science from Scratch: First Principles with Python


In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.

Predictive Analytics 2 – Neural Nets and Regression


In this online course, you will continue work from Predictive Analytics 1, and be introduced to additional techniques in predictive analytics, also called predictive modeling, the most prevalent form of data mining.

An Introduction to Statistical Learning: with Applications in R

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Provides an accessible overview of the field of statistical learning… This book presents some of the most important modeling and prediction techniques, along with relevant applications.

Doing Data Science: Straight Talk from the Frontline


How can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.

Machine Learning (Coursera)


In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.