Machine Learning Algorithms

As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading str...

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Bibliographic Details
Main Author Bonaccorso, Giuseppe
Format eBook
LanguageEnglish
Published Packt Publishing 2017
Subjects
General References
Software Engineering
Online AccessGet full text
ISBN9781785889622
1785889621

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Table of Contents:
  • Title Page Preface Table of Contents 1. A Gentle Introduction to Machine Learning 2. Important Elements in Machine Learning 3. Feature Selection and Feature Engineering 4. Linear Regression 5. Logistic Regression 6. Naive Bayes 7. Support Vector Machines 8. Decision Trees and Ensemble Learning 9. Clustering Fundamentals 10. Hierarchical Clustering 11. Introduction to Recommendation Systems 12. Introduction to Natural Language Processing 13. Topic Modeling and Sentiment Analysis in NLP 14. A Brief Introduction to Deep Learning and TensorFlow 15. Creating a Machine Learning Architecture Index