Tag: dimensionality reduction
DataCamp – Unsupervised Learning in RCourses / Interactive tutorial style course
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 – ChicagoConferences / Gatherings and Organizations
2017 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 SystemsCourses / Scheduled online course
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.
Data Science at the Command LineBooks / physical books or multiple formats
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.