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Fundamentals of Data Science Part III: Machine Learning

Fundamentals of Data Science Part III: Machine Learning - Paperback

by Jared M. Maruskin
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Availability:In StockContributor:Jared M. MaruskinPublish date:2022-04-29Pages:316
Language:EnglishPublisher:Cayenne Canyon PressISBN-13:9781941043134ISBN-10:1941043135UPC:9781941043134Book Category:Computers, MathematicsBook Subcategory:Data Science, Probability & StatisticsBook Topic:Machine LearningSize:9.21 x 6.14 x 0.66 inchesWeight:0.9811Product ID:SCFZXERE1A

In Part III of this series, we cover the fundamentals of machine learning, focusing on:

  • validation methodology (reprint)
  • nearest neighbor, k-means, support vector machines, principal component analysis
  • tree-based methods: decision trees, bagging, random forest, boosting, XGBoost
  • artificial neural networks and deep learning
  • reinforcement learning

The focus is on algorithmic development and programming. We code each technique from scratch in Python, using an object-oriented approach.




Language:EnglishPublisher:Cayenne Canyon PressISBN-13:9781941043134ISBN-10:1941043135UPC:9781941043134Book Category:Computers, MathematicsBook Subcategory:Data Science, Probability & StatisticsBook Topic:Machine LearningSize:9.21 x 6.14 x 0.66 inchesWeight:0.9811Product ID:SCFZXERE1A
Publisher: Cayenne Canyon Press

Contributor(s)

Jared M. Maruskin

Author

Jared M. Maruskin

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