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with Sadie St. Lawrence
Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals.
Introduction
AI and machine learning overview
Types of machine learning
Popular AI and ML tools
AI applications and use cases
Data types and sources
Exploratory data analysis (EDA)
Data preprocessing techniques
Feature engineering
Supervised learning overview
Unsupervised learning overview
Reinforcement learning overview
Deep learning overview: Part 1
Deep learning overview: Part 2
Model evaluation and validation
AI project lifecycle
AI ethics and bias: Part 1
AI ethics and bias: Part 2
Bring it all together