swpromer

This lecture covers the contents of the Amazon bestseller <Hands-on Machine Learning 2nd Edition>. Using the representative machine learning library, scikit-learn, you will learn various machine learning algorithms and evaluation methods. Also, using the most famous deep learning libraries, TensorFlow and Keras, you will learn theories and practices from artificial neural networks to reinforcement learning. This lecture is not yet complete. One to two lectures will continue to be added every week.

haesunpark

Hands-on Machine Learning 2

입문

초급

중급이상

텐서플로

Tensorflow

Machine Learning(ML)

Deep Learning(DL)

케라스

Keras

Reinforcement Learning(RL)

Chapter 1: Machine Learning at a Glance

Chapter 2 Machine Learning Project From Beginning to End

Chapter 3 Classification

Chapter 4 Model Training

Chapter 5 Support Vector Machine

Chapter 6 Decision Tree

Chapter 7 Ensemble Learning and Random Forests (1)

Chapter 8 Dimensionality Reduction

Chapter 9 Unsupervised Learning