Python Machine Learning – Second Edition

Thoroughly updated using the latest Python open source libraries, Python Machine Learning – Second Edition offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. (Limited-time offer)

Table of Contents

• 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
• Working with Unlabeled Data – Clustering 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 Convolutional Neural Networks
• Modeling Sequential Data Using Recurrent Neural Networks

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