Feature Selection in Machine Learning

In machine learning, feature selection is process of choosing what subset of total features on which to train your model — we don’t have to use all feature at our disposal. The advantages of features selection typically are: Read more

Read full article

Similar

Best Books on Machine Learning

Following is a list of best books on Data Science and Machine Learning which you may refer. (more…)

Introduction to Machine Learning from MIT

This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These con... (more…)

Raspberry Pi Compute Module 4 Machine Learning with Seeed’s ReTerminal

Seeed's reTerminal packs the power of the Raspberry Pi Compute Module 4 into a compact package. (more…)

Cortex: Add Machine Learning to Your App

Deploy machine learning models in production. Contribute to cortexlabs/cortex development by creating an account on GitHub. (more…)

Video Q&A with Peter Norvig on A.I., Machine Learning. Live in 1h

Thursday, December 08, 2016 at 12:00 PM Eastern Standard Time.

Latest News

Row over ‘virtual gated community’ AI surveillance plan in Toronto neighbourhood

Optinum – finds the blind spots AI coding agents systematically miss in PR tests

Decentralized AI from Scratch