Introduction to Machine Learning

Introduction to Machine Learning series poster
Network:
The Great Courses
Status:
Ended
Season 1:
Ended on March 01, 2020
Watched: 0%
0 of 25 Episodes
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Notes:

TVDB
Season: 1
# Air Date Episode Name Watched?
E1 Mar 01, 2020 Telling the Computer What We Want
E2 Starting with Python Notebooks and Colab
E3 Decision Trees for Logical Rules
E4 Neural Networks for Perceptual Rules
E5 Opening the Black Box of a Neural Network
E6 Bayesian Models for Probability Prediction
E7 Genetic Algorithms for Evolved Rules
E8 Nearest Neighbors for Using Similarity
E9 The Fundamental Pitfall of Overfitting
E10 Pitfalls in Applying Machine Learning
E11 Clustering and Semi-Supervised Learning
E12 Recommendations with Three Types of Learning
E13 Games with Reinforcement Learning
E14 Deep Learning for Computer Vision
E15 Getting a Deep Learner Back on Track
E16 Text Categorization with Words as Vectors
E17 Deep Networks That Output Language
E18 Making Stylistic Images with Deep Networks
E19 Making Photorealistic Images with GANs
E20 Deep Learning for Speech Recognition
E21 Inverse Reinforcement Learning from People
E22 Causal Inference Comes to Machine Learning
E23 The Unexpected Power of Over-Parameterization
E24 Protecting Privacy within Machine Learning
E25 Mastering the Machine Learning Process
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Network:
The Great Courses
Seasons:
1
Years:
2020 - 2020
Genre:
Documentary
Country:
United States
Language:
English
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