Machine Larning
About the book
About the book
1
INTRODUCTION TO MACHINE LEARNING
Machine learning
2
LEARNING PROBLEM
3
LINEAR MODEL
4
DECISION TREE MODEL
5
INSTANCE BASED LEARNING
6
STATISTICAL LEARNING
7
PROBABILISTIC REASONING
8
PROBABILISTIC REASONING OVER TIME
9
FEATURE SELECTION AND REPRESENTATION
10
MIXTURE MODELS
11
ENSEMBLE MODEL
12
SUPPORT VECTOR MACHINE
Deep learning
13
NEURAL NETWORKS
14
DEEP NEURAL NETWORKS
15
CONVOLUTIONAL NEURAL NETWORKS
16
SEQUENCE MODELS
17
ATTENTION MECHANISMS
18
DEEP GENERATIVE MODELS
Reinforcement learning
19
REINFORCEMENT LEARNING
20
MARKOV DECISION PROCESSES
Table of contents
About the book
Machine Larning
Author
Bùi Tiến Lên
Published
January 1, 2026
About the book
Machine learning lectures
1
INTRODUCTION TO MACHINE LEARNING
