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Machine Learning Foundations

Machine Learning Foundations


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About the Book

Part I. Foundation.- Chapter 1. Introduction.- Chapter 2. Numerical Vectors.- Chapter 3.Data Encoding.- Chapter 4. Simple Machine Learning Algorithms.- Part II. Supervised Learning.- Chapter 5. Instance based Learning.- Chapter 6. Probabilistic Learning.- Chapter 7. Decision Tree.- Chapter 8. Support Vector Machine.- Part III. Unsupervised Learning.- Chapter 9. Simple Clustering Algorithms.- Chapter 10. K Means Algorithm.- Chapter 11. EM Algorithm.- Chapter 12. Advanced Clustering.- Part IV. Advanced Topics.- Chapter 13. Ensemble Learning.- Chapter 14. Semi-Supervised Learning.- Chapter 15. Temporal Learning.- Chapter 16. Reinforcement Learning.


About the Author:

Taeho Jo is the president and the founder of the company, Alpha Lab AI which makes business concerned with Artificial Intelligence. He received his Bachelor, Master, and PhD degrees from Korea University in 1994, from Pohang University in 1997, and from University of Ottawa, 2006, respectively. He has published more than 180 research papers, primarily in text mining, machine learning, neural networks, and information retrieval. He previously published the book "Text Mining: Concept, Implementation, and Big Data Challenge" (Springer 2018).


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Product Details
  • ISBN-13: 9783030658991
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 391
  • Spine Width: 24 mm
  • Weight: 802 gr
  • ISBN-10: 3030658996
  • Publisher Date: 27 Mar 2021
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Sub Title: Supervised, Unsupervised, and Advanced Learning
  • Width: 156 mm


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