Python machine learning : Machine learning and deep learning with python, sckit-learn, and tensorflow / Raschka, Sebastian

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 sets - 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 -- Implementing a Multilayer Artificial Neural Network from Scratch -- Parallelizing Neural Network Training with TensorFlow -- Going Deeper - The Mechanics of TensorFlow -- Classifying Images with Deep Convolutionnal Neural Networks -- Modeling Seqquential Data Using Recurrent Neural Networks