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IT: Artificial Intelligence & Data
Core Machine Learning Practices
Curriculum
1 Section
24 Lessons
30 hours
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Unit 2 — Core Machine Learning Practices
24
1.1
Putting Secrets in a Safe Place
20 mins
1.2
Storing Data Using Sets, Lists, and Tuples
20 mins
1.3
Exploring the World of Probabilities
20 mins
1.4
The Learning Process
20 mins
1.5
Checking Out-of-Sample Errors
20 mins
1.6
Growing Greedy Classification Trees
20 mins
1.7
Using Distances to Locate Clusters
20 mins
1.8
Mixing Features of Different Types
20 mins
1.9
Explaining the Algorithm
20 mins
1.10
Understanding Network Learning and Overfitting
20 mins
1.11
Learning from Mistakes and Weak Learners
20 mins
1.12
Revising the State of the Art in Computer Vision
20 mins
1.13
Revising the State of the Art in NLP
20 mins
1.14
Downloading Rating Data
20 mins
1.15
Using Cross-Validation Correctly
20 mins
1.16
Using Sanitization Techniques
20 mins
1.17
Overcoming AI Fantasies
20 mins
1.18
Specifying the Role of Statistics in Machine Learning
20 mins
1.19
Avoiding the Potential Pitfalls of Future Technologies
20 mins
1.20
Working with Notebooks
20 mins
1.21
Using Magic Functions
20 mins
1.22
Indexing Data Using Dictionaries
20 mins
1.23
Describing the Use of Statistics
20 mins
1.24
Optimizing with Big Data
20 mins
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