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Machine Learning Prerequisite Crash Course
Machine Learning Fundamentals - Overview
00 Course Overview - Machine Learning Fundamentals (13:46)
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Machine Learning Fundamentals - 01 (Prerequisite) Introduction to Machine Learning
00 Types Of Machine Learning Models (12:17)
01 How Does A Machine Learning Agent Learn (7:38)
02 What Is Inductive Learning (4:11)
Machine Learning Fundamentals - 02 (Prerequisite) Introduction to Python
00. Introduction (4:42)
01 What is Google Colab (4:24)
02 What If I Get Errors (2:39)
03 How Do I Terminate a Session (2:40)
Machine Learning Fundamentals - 03 Probability and Statistics for Machine Learning
01 Probability And Information Theory Overview (5:15)
02 Combinatorics For Probability (8:44)
03 Law Of Large Numbers (10:38)
04 Calculate Center Of Distribution (7:40)
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Machine Learning Fundamentals - 04 Distributions in Machine Learning
01 Uniform Distribution (5:25)
02 Gaussian Distribution (3:45)
03 Log-Normal Distribution (3:27)
04 Exponential Distribution (3:04)
05 Laplace Distribution (1:54)
06 Binomial Distribution (9:05)
07 Multinomial Distribution (3:59)
08 Poisson Distribution (4:21)
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Machine Learning Fundamentals - 05 Machine Learning Optimization
01 Calculate Error Of Machine Learning Model (8:44)
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Quiz - Test your knowledge
Quiz - Test your knowledge
01 Probability And Information Theory Overview
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