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Home > Machine Learning Guide > 4. Algorithms - Intuition
Podcast: Machine Learning Guide
Episode:

4. Algorithms - Intuition
Category: Technology
Duration: 00:21:54
Publish Date: 2017-02-11 23:00:00
Description:

Overview of machine learning algorithms. Infer/predict -> error/loss -> train/learn. Supervised, unsupervised, reinforcement learning.

## Resources - Tour of Machine Learning Algorithms (http://machinelearningmastery.com/a-tour-of-machine-learning-algorithms) `article:easy` - The Master Algorithm (http://amzn.to/2kLOQjW) `audio:medium` Semi-technical overview of ML basics & main algorithms

## Episode Learning (ML) - 3-step process ** Infer / Predict ** Error / Loss ** Train / Learn - First as batch from spreadsheet, then "online" going forward ** Pre-train your "model" ** "Examples" ** "Weights" - Housing cost example ** "Features" ** Infer cost based on num_rooms, sq_foot, etc ** Error / Loss function

Categories - Supervised learning ** Vision (CNN) ** Speech (RNN) - Unsupervised ** Market segmentation - Reinforcement & Semi-Supervised ** Planning (DQN): Games (chess, Mario); Robot movement
Total Play: 6

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