What You Need to Know Before
You Start
Starts 5 June 2025 02:50
Ends 5 June 2025
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35 minutes
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Overview
Master the essential machine learning foundations needed for AI engineering in this comprehensive 35-minute guide covering ML techniques, deep learning, neural networks, and reinforcement learning.
Syllabus
- Introduction to Machine Learning
- Machine Learning Techniques
- Deep Learning Foundations
- Neural Networks
- Reinforcement Learning Basics
- Wrap-Up and Further Resources
Overview of ML in AI Engineering
Key Concepts and Terminology
Supervised Learning
Unsupervised Learning
Semi-supervised Learning
Model Evaluation and Selection
Introduction to Neural Networks
Common Architectures (CNNs, RNNs)
Training Deep Learning Models
Overfitting and Regularization
Structure of Neural Networks
Activation Functions
Backpropagation and Optimization
Key Concepts of Reinforcement Learning
Action, State, and Reward Framework
Exploration vs. Exploitation Trade-off
Summary of Key Takeaways
Suggested Readings and Tools for Further Learning
Subjects
Computer Science
