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IT: Artificial Intelligence & Data
Foundations of Machine Learning
Curriculum
1 Section
24 Lessons
30 hours
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Unit 1 — Foundations of Machine Learning
24
1.1
Moving Beyond the Hype
20 mins
1.2
Understanding the Role of Data in Machine Learning
20 mins
1.3
Creating Useful Technologies for the Future
20 mins
1.4
Defining Google Colab
20 mins
1.5
Understanding Hardware Options
20 mins
1.6
Defining the Basics You Should Know
20 mins
1.7
Working with Data
20 mins
1.8
Acknowledging Different Kinds of Learning
20 mins
1.9
Considering the Use of Example Data
20 mins
1.10
Discovering the Incredible Perceptron
20 mins
1.11
Measuring Similarity
20 mins
1.12
Starting to Combine Features
20 mins
1.13
Revisiting the Separation Problem
20 mins
1.14
Revising the Perceptron
20 mins
1.15
Leveraging Decision Trees
20 mins
1.16
Learning the Magic of Data Augmentation
20 mins
1.17
Introducing Natural Language Processing
20 mins
1.18
Realizing the Revolution of E-Commerce
20 mins
1.19
Studying Learning Curves
20 mins
1.20
Obtaining Permission
20 mins
1.21
Dreaming of Electric Sheep
20 mins
1.22
Considering the Sources of Data
20 mins
1.23
Discovering New Job Opportunities with Machine Learning
20 mins
1.24
Getting a Google Account
20 mins
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