Tag: dimensionality reduction

DataCamp – Unsupervised Learning in R

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From DataCamp: “Many times in machine learning, the goal is to find patterns in data without trying to make predictions. This is called unsupervised learning. One common use case of unsupervised learning is grouping consumers based on demographics and purchasing history to deploy targeted marketing campaigns. Another example is wanting to describe the unmeasured factors that most influence crime differences between cities. This course provides a basic introduction to clustering and … Continue Reading

Predictive Analytics World – Chicago 2017

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Upcoming Event: June 19-22, 2017 – Chicago, IL Co-Located with PAW Manufacturing Conference: http://www.predictiveanalyticsworld.com/mfg/2017/ From Predictive Analytics World: Predictive Analytics World is the leading cross-vendor event for predictive analytics professionals, managers and commercial practitioners. The only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail. 2017 Speakers

Introduction to Recommender Systems

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Recommender systems have changed the way people find products, information, and even other people. We will study the most important recommender tools, including how they work, how to use them, evaluate them, and their strengths and weaknesses in practice.

scikit-learn algorithm cheat sheet

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This flowchart is designed to give users a bit of a rough guide on how to approach problems with regard to which estimators to try on your data.

Python Machine Learning

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This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python.

Data Science at the Command Line

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This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.

Machine Learning (Coursera)

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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.