Python Machine Learning By Example (ebook)

Python Machine Learning By Example (ebook) - Opis

Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML).With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements.At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries.Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP.By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems. Spis treści: 1. Getting Started with Machine Learning and Python2. Building a Movie Recommendation Engine with Naïve Bayes3. Recognizing Faces with Support Vector Machine4. Predicting Online Ad Click-Through with Tree-Based Algorithms5. Predicting Online Ad Click-Through with Logistic Regression6. Scaling Up (...) więcej Prediction to Terabyte Click Logs7. Predicting Stock Prices with Regression Algorithms8. Predicting Stock Prices with Artificial Neural Networks9. Mining the 20 Newsgroups Dataset with Text Analysis Techniques10. Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling11. Machine Learning Best Practices12. Categorizing Images of Clothing with Convolutional Neural Networks13. Making Predictions with Sequences Using Recurrent Neural Networks14. Making Decisions in Complex Environments with Reinforcement Learning O autorze: Yuxi (Hayden) Liu rozwija modele uczenia maszynowego w Google. Wcześniej pracował naukowo nad zastosowaniami uczenia maszynowego w takich dziedzinach jak reklama internetowa i cyberbezpieczeństwo. Jest entuzjastą edukacji i autorem wielu książek o uczeniu maszynowym. Pierwsze wydanie tego podręcznika zajmowało wiodącą pozycję w rankingu Amazona w latach 2017 i 2018. mniej