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Introduction to Machine Learning
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Season 1
General
Episodes
Artwork
TheTVDB.com Season ID
1899303
Created
February 4, 2021
Modified
February 4, 2021
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Name
First Aired
Runtime
Image
S01E01
Telling the Computer What We Want
The Great Courses
31
S01E02
Starting with Python Notebooks and Colab
The Great Courses
17
S01E03
Decision Trees for Logical Rules
The Great Courses
31
S01E04
Neural Networks for Perceptual Rules
The Great Courses
30
S01E05
Opening the Black Box of a Neural Network
The Great Courses
29
S01E06
Bayesian Models for Probability Prediction
The Great Courses
29
S01E07
Genetic Algorithms for Evolved Rules
The Great Courses
28
S01E08
Nearest Neighbors for Using Similarity
The Great Courses
29
S01E09
The Fundamental Pitfall of Overfitting
The Great Courses
28
S01E10
Pitfalls in Applying Machine Learning
The Great Courses
28
S01E11
Clustering and Semi-Supervised Learning
The Great Courses
27
S01E12
Recommendations with Three Types of Learning
The Great Courses
30
S01E13
Games with Reinforcement Learning
The Great Courses
30
S01E14
Deep Learning for Computer Vision
The Great Courses
27
S01E15
Getting a Deep Learner Back on Track
The Great Courses
30
S01E16
Text Categorization with Words as Vectors
The Great Courses
30
S01E17
Deep Networks That Output Language
The Great Courses
29
S01E18
Making Stylistic Images with Deep Networks
The Great Courses
29
S01E19
Making Photorealistic Images with GANs
The Great Courses
30
S01E20
Deep Learning for Speech Recognition
The Great Courses
30
S01E21
Inverse Reinforcement Learning from People
The Great Courses
29
S01E22
Causal Inference Comes to Machine Learning
The Great Courses
30
S01E23
The Unexpected Power of Over-Parameterization
The Great Courses
30
S01E24
Protecting Privacy within Machine Learning
The Great Courses
31
S01E25
Mastering the Machine Learning Process
The Great Courses
34
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