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  • Author: davida
  • Date: 10-01-2014, 13:00
10-01-2014, 13:00

Tutsplus - Machine Learning Distilled with Kenan Casey

Category: Tutorials » Other


Tutsplus - Machine Learning Distilled

English | Working Files Included | Audio: aac, 44100 Hz, stereo | Video: h264, yuv420p, 1280x800, 29.97 fps(r) | 1.73 GB
Genre: E-learning

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?
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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