Tóm tắt nội dung

Introduction to Giving Computers the Ability to Learn from Data; Training Simple Machine Learning Algorithms for Classification; A Tour of Machine Learning Classifiers Using scikit-learn; Building Good Training Datasets-Data Preprocessing; Compressing Data via Dimensionality Reduction; Learning Best Practices for Model Evaluation and Hyperparameter Tuning; Combining Different Models for Ensemble Learning; Applying Machine Learning to Sentiment Analysis; Embedding a Machine Learning Model into a Web Application; Predicting Continuous Target Variables with Regression Analysis; Working with Unlabeled Data-Clustering Analysis; Implementing a Multilayer Artificial Neural Network; Parallelizing Neural Network Training with TensorFlow; Going Deeper; Classifying Images with Deep Convolutional Neural Networks; Modeling Sequential Data Using Recurrent Neural Networks; Reinforcement Learning for Decision Making in Complex Environments