Creator: Thet Naing Tun and Zaw Min Khaing
Publisher: Alex Snow School
Publication Date:
Updated:
Audience: Computer Science Students, ML and AI Enthusiasts, and IT Professionals
License:
Public Domain
Pre-perquisite: ဒီ course ကို Computer Science အခြေခံရှိပြီးမှ တက်သင့်ပါတယ်။
ML and AI Basic Concepts - Webinar
Week 1
Machine Learning Terminology
Descending to Machine Learning
Week 2
Familiarization with Tensorflow Frameworks, Generalization, Overfitting, Training and Test Sets, Validation Sets
Representation, Feature Cross, Regularization: Simplicity
Week 3
Logistic regression, Classification, Regularization : Sparsity
Decision Tree
Week 4
K Nearest Neighbor (KNN)
K Means
Week 5
ANN Algorithm Part 1
ANN Algorithm Part 2
Week 6
Confusion Matrix Training Neural Nets — Best Practice Multi-Class Neural Nets
Recommender System Embedding
Reading List
- Lecture Slides
- GitHub: Introduction to Machine Learning
- Machine Learning Yearning
- Multi-class classification with MNIST.ipynb
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