Details zum E-Book

Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition

Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition

Yuxi (Hayden) Liu

E-book
The surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you’re interested in ML, this book will serve as your entry point to ML.

Python Machine Learning By Example begins with an introduction to important ML concepts and implementations using Python libraries. Each chapter of the book walks you through an industry adopted application. You’ll implement ML techniques in areas such as exploratory data analysis, feature engineering, and natural language processing (NLP) in a clear and easy-to-follow way.

With the help of this extended and updated edition, you’ll understand how to tackle data-driven problems and implement your solutions with the powerful yet simple Python language and popular Python packages and tools such as TensorFlow, scikit-learn, gensim, and Keras. To aid your understanding of popular ML algorithms, the book covers interesting and easy-to-follow examples such as news topic modeling and classification, spam email detection, stock price forecasting, and more.

By the end of the book, you’ll have put together a broad picture of the ML ecosystem and will be well-versed with the best practices of applying ML techniques to make the most out of new opportunities.
  • 1. Getting Started with Machine Learning and Python
  • 2. Exploring the 20 Newsgroups Dataset with Text Analysis Techniques
  • 3. Mining the 20 Newsgroups Dataset with Clustering and Topic Modeling Algorithms
  • 4. Detecting Spam Email with Naive Bayes
  • 5. Classifying News Topic with Support Vector Machine
  • 6. Predicting Online Ads Click-through with Tree-Based Algorithms
  • 7. Predicting Online Ads Click-through with Logistic Regression
  • 8. Scaling Up Prediction to Terabyte Click Logs
  • 9. Stock Price Prediction with Regression Algorithms
  • 10. Machine Learning Best Practices
  • Titel: Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition
  • Autor: Yuxi (Hayden) Liu
  • Originaler Titel: Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition
  • ISBN: 9781789617559, 9781789617559
  • Veröffentlichungsdatum: 2019-02-28
  • Format: E-book
  • Artikelkennung: e_14qn
  • Verleger: Packt Publishing