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Fundamentals of Data Science Trilogy: Experiment-Model-Learn

Fundamentals of Data Science Trilogy: Experiment-Model-Learn - Paperback

by Jared M. Maruskin
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Availability:In StockContributor:Jared M. MaruskinPublish date:2022-04-29Pages:892
Language:EnglishPublisher:Cayenne Canyon PressISBN-13:9781941043011ISBN-10:1941043011UPC:9781941043011Book Category:ComputersBook Subcategory:Data ScienceBook Topic:Data Modeling & Design, Machine LearningSize:9.21 x 6.14 x 1.76 inchesWeight:2.7029Product ID:SCXCWW9EN6

In this series, we cover statistical experimentation, modeling, and machine learning, focusing on:

  • basic statistics, hypothesis testing, and experimentation
  • validation methodology
  • linear and logistic regression; generalized linear models
  • causality
  • time series analysis
  • Bayesian statistics
  • clustering
  • decision trees, random forests, and boosted forests
  • artificial neural networks and deep learning
  • reinforcement learning

Our focus is on mathematical derivations, algorithmic development, and programming. We use Python throughout the text to support our theory. All machine learning techniques are coded from scratch using Python.




Language:EnglishPublisher:Cayenne Canyon PressISBN-13:9781941043011ISBN-10:1941043011UPC:9781941043011Book Category:ComputersBook Subcategory:Data ScienceBook Topic:Data Modeling & Design, Machine LearningSize:9.21 x 6.14 x 1.76 inchesWeight:2.7029Product ID:SCXCWW9EN6
Publisher: Cayenne Canyon Press

Contributor(s)

Jared M. Maruskin

Author

Jared M. Maruskin

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