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Applications : TutsPlus - Machine Learning Distilled
TutsPlus  - Machine Learning Distilled

Instructor: Kenan Casey
Released: January 9, 2014
Resolution: 1280?720
File Size: 1.73  GB
More info

Welcome to “Machine Learning Distilled.” In this course, we’ll review machine learning in a very compressed way. In other words, what is machine learning, why would you want to do it, and how is it done?
Topic include:
Introduction 19m 16s
Introduction 10m 14s
Machine Learning Basics 9m 2s

Supervised Learning 1h 38m 44s
Supervised Learning Summary 4m 46s
k-Nearest Neighbor 9m 16s
Decision Trees 12m 36s
Perceptrons 8m 18s
Linear Regression 10m 4s
Naive Bayesian Classifiers 7m 56s
General Regression Neural Networks 7m 18s
Feed-Forward Neural Networks 14m 40s
Support Vector Machines 14m 56s
Random Forests 8m 54s

Unsupervised Learning 41m 38s
Unsupervised Learning Summary 5m 50s
k-Means Clustering 8m 32s
Hierarchical Clustering 8m 12s
Self-Organizing Maps 9m 14s
Apriori Association 9m 50s

Theory & Practice 21m 12s
Theory 12m 22s
Practice 6m 42s
Wrap Up 2m 8s

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