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mylessonml's Introduction

MY LESSON (IN PROCESSING)

Summary

Cơ bản

  • Thuật toán Machine Learning
 Linear Regression Logistic Regression ️Multilayer Perceptrons
Navie Bayes Cluster ️Dession Tree
️Support Vector Machine Convolutional Neural Networks Recurrent Neural Networks
  • Thuật toán Artificial Intelligence
 Search Knowledge ️Optimization
Learning Uncertainty ️
️

Course online

  • MIT 6.S191 Introduction to Learning
 Lec 1: Introduction to Learning Lec 2: Deep Sequence Modeling ️Lab 1: Intro to TensorFlow; Music Generation
Lec 3: Deep Computer Vision Lec 4: Deep Generative Modeling ️Lab 2: De-biasing Facial Recognition Systems
️Lec 5: Deep Reinforcement Learning Lec 6: Limitations and New Frontiers Lab 3: Pixels-to-Control Learning

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