Algorithms for machine learning

Fri, 21 Apr 2017 23:52:00 +0000

References

Machine learning for Java developers

Introduction

This article focuses on supervised machine learning. You’ll get an overview of the internals of the learning algorithm and features that you can use to train, score, and select the best-fitting prediction function.

Machine learning types and popular algorithms used

How machines learn to predict

The challenge of supervised machine learning is to find the proper prediction function for a specific question. Mathematically, the challenge is to find the input-output function that takes the input variables x and returns the prediction value y. This hypothesis function $h_{\theta}$ is the output of the training process. Often the hypothesis function is also called target function or prediction function or model.

Predictive Models on ARI Systems

Algorithms for machine learning

References

Introduction

Machine learning types and popular algorithms used

How machines learn to predict