Machine Learning Prerequisite Crash Course
01
Skill level
All levels
02
Sections
16
03
Lectures
65
04
Courses
2
05
Instructor
Team Mammoth
What's inside
This course includes.
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16
Sections
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65
Lectures
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64
Resources
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1
Quiz
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Machine Learning Fundamentals - Overview 2 lectures
00 Course Overview - Machine Learning Fundamentals
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Source Files
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+ Machine Learning Fundamentals - 01 (Prerequisite) Introduction to Machine Learning 3 lectures
00 Types Of Machine Learning Models
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01 How Does A Machine Learning Agent Learn
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02 What Is Inductive Learning
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+ Machine Learning Fundamentals - 02 (Prerequisite) Introduction to Python 4 lectures
00. Introduction
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01 What is Google Colab
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02 What If I Get Errors
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03 How Do I Terminate a Session
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+ Machine Learning Fundamentals - 03 Probability and Statistics for Machine Learning 5 lectures
01 Probability and Information Theory Overview
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02 Combinatorics for Probability
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03 Law of Large Numbers
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04 Calculate Center of Distribution
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+ Machine Learning Fundamentals - 04 Distributions in Machine Learning 9 lectures
01 Uniform Distribution
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02 Gaussian Distribution
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03 Log-Normal Distribution
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04 Exponential Distribution
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05 Laplace Distribution
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06 Binomial Distribution
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07 Multinomial Distribution
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08 Poisson Distribution
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+ Machine Learning Fundamentals - 05 Machine Learning Optimization 2 lectures
01 Calculate error of machine learning model
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Source Files
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+ Quiz - Test your knowledge 1 lecture
Quiz
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Bundled items.
2 courses
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