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All Programs
Computers
Data Science
Learning from Data
Learning from Data
Curriculum
4 Sections
16 Lessons
Lifetime
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Chapter 17: Exploring Four Simple and Effective Algorithms
8
1.1
Guessing the Number: Linear Regression
1.1
Quiz for Guessing the Number: Linear Regression
6 Questions
1.2
Moving to Logistic Regression
1.2
Quiz for Moving to Logistic Regression
7 Questions
1.3
Making Things as Simple as Naïve Bayes
1.3
Quiz for Making Things as Simple as Naïve Bayes
7 Questions
1.4
Learning Lazily with Nearest Neighbors
1.4
Quiz for Learning Lazily with Nearest Neighbors
7 Questions
Chapter 18: Performing Cross-Validation, Selection, and Optimization
8
2.1
Pondering the Problem of Fitting a Model
2.1
Quiz for Pondering the Problem of Fitting a Model
6 Questions
2.2
Cross-Validating
2.2
Quiz for Cross-Validating
5 Questions
2.3
Selecting Variables Like a Pro
2.3
Quiz for Selecting Variables Like a Pro
7 Questions
2.4
Pumping Up Your Hyperparameters
2.4
Quiz for Pumping Up Your Hyperparameters
6 Questions
Chapter 19: Increasing Complexity with Linear and Nonlinear Tricks
10
3.1
Using Nonlinear Transformations
3.1
Quiz for Using Nonlinear Transformations
7 Questions
3.2
Regularizing Linear Models
3.2
Quiz for Regularizing Linear Models
6 Questions
3.3
Fighting with Big Data Chunk by Chunk
3.3
Quiz for Fighting with Big Data Chunk by Chunk
6 Questions
3.4
Understanding Support Vector Machines
3.4
Quiz for Understanding Support Vector Machines
7 Questions
3.5
Playing with Neural Networks
3.5
Quiz for Playing with Neural Networks
7 Questions
Chapter 20: Understanding the Power of the Many
6
4.1
Starting with a Plain Decision Tree
4.1
Quiz for Starting with a Plain Decision Tree
6 Questions
4.2
Getting Lost in a Random Forest
4.2
Quiz for Getting Lost in a Random Forest
7 Questions
4.3
Boosting Predictions
4.3
Quiz for Boosting Predictions
6 Questions
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