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All Programs
Computers
Data Science
Machine Learning
Getting Started with the Math Basics
Curriculum
4 Sections
14 Lessons
10 Weeks
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Demystifying the Math Behind Machine Learning
6
1.1
Working with Data
1.2
Exploring the World of Probabilities
1.3
Quiz for Working with Data
7 Questions
1.4
Describing the Use of Statistics
1.5
Quiz for Exploring the World of Probabilities
8 Questions
1.6
Quiz for Describing the Use of Statistics
7 Questions
Descending the Gradient
6
2.1
Acknowledging Different Kinds of Learning
2.2
The learning process
2.3
Quiz for Acknowledging Different Kinds of Learning
7 Questions
2.4
Optimizing with big data
2.5
Quiz for The learning process
7 Questions
2.6
Quiz for Optimizing with big data
6 Questions
Validating Machine Learning
10
3.1
Considering the Use of Example Data
3.2
Checking Out-of-Sample Errors
3.3
Quiz for Considering the Use of Example Data
5 Questions
3.4
Training, Validating, and Testing
3.5
Quiz for Checking Out-of-Sample Errors
6 Questions
3.6
Optimizing by Cross-Validation
3.7
Quiz for Training, Validating, and Testing
5 Questions
3.8
Avoiding Sample Bias and Leakage Traps
3.9
Quiz for Optimizing by Cross-Validation
6 Questions
3.10
Quiz for Avoiding Sample Bias and Leakage Traps
6 Questions
Starting with Simple Learners
6
4.1
Discovering the Incredible Perceptron
4.2
Growing Greedy Classification Trees
4.3
Quiz for Discovering the Incredible Perceptron
6 Questions
4.4
Taking a Probabilistic Turn
4.5
Quiz for Growing Greedy Classification Trees
6 Questions
4.6
Quiz for Taking a Probabilistic Turn
6 Questions
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