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All Programs
Computers
Data Science
Machine Learning
Learning from Smart and Big Data
Curriculum
6 Sections
24 Lessons
10 Weeks
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Chapter 11: Preprocessing Data
10
1.1
Gathering and Cleaning Data
1.2
Quiz for Gathering and Cleaning Data
5 Questions
1.3
Repairing Missing Data
1.4
Quiz for Repairing Missing Data
7 Questions
1.5
Transforming Distributions
1.6
Quiz for Transforming Distributions
6 Questions
1.7
Creating Your Own Features
1.8
Quiz for Creating Your Own Features
7 Questions
1.9
Delimiting Anomalous Data
1.10
Quiz for Delimiting Anomalous Data
7 Questions
Chapter 12: Leveraging Similarity
8
2.1
Measuring Similarity between Vectors
2.2
Quiz for Measuring Similarity between Vectors
5 Questions
2.3
Using Distances to Locate Clusters
2.4
Quiz for Using Distances to Locate Clusters
7 Questions
2.5
Tuning the K-Means Algorithm
2.6
Quiz for Tuning the K-Means Algorithm
5 Questions
2.7
Finding Similarity by K-Nearest Neighbors
2.8
Quiz for Finding Similarity by K-Nearest Neighbors
7 Questions
Chapter 13: Working with Linear Models the Easy Way
10
3.1
Starting to Combine Features
3.2
Quiz for Starting to Combine Features
7 Questions
3.3
Mixing Features of Different Types
3.4
Quiz for Mixing Features of Different Types
5 Questions
3.5
Switching to Probabilities
3.6
Quiz for Switching to Probabilities
5 Questions
3.7
Guessing the Right Features
3.8
Quiz for Guessing the Right Features
5 Questions
3.9
Learning One Example at a Time
3.10
Quiz for Learning One Example at a Time
5 Questions
Chapter 14: Hitting Complexity with Neural Networks
6
4.1
Revising the Perceptron
4.2
Quiz for Revising the Perceptron
6 Questions
4.3
Representing the Way of Learning of a Network
4.4
Quiz for Representing the Way of Learning of a Network
6 Questions
4.5
Introducing Deep Learning
4.6
Quiz for Introducing Deep Learning
7 Questions
Chapter 15: Going a Step Beyond Using Support Vector Machines
6
5.1
Revisiting the Separation Problem
5.2
Quiz for Revisiting the Separation Problem
5 Questions
5.3
Explaining the Algorithm
5.4
Quiz for Explaining the Algorithm
7 Questions
5.5
Classifying and Estimating with SVM
5.6
Quiz for Classifying and Estimating with SVM
5 Questions
Chapter 16: Resorting to Ensembles of Learners
8
6.1
Leveraging Decision Trees
6.2
Quiz for Leveraging Decision Trees
7 Questions
6.3
Working with Almost Random Guesses
6.4
Quiz for Working with Almost Random Guesses
6 Questions
6.5
Boosting Smart Predictors
6.6
Quiz for Boosting Smart Predictors
6 Questions
6.7
Averaging Different Predictors
6.8
Quiz for Averaging Different Predictors
6 Questions
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