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Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning /

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Bibliographic Details
Main Authors: Gutman, Alex J., Goldmeier, Jordan (Author)
Corporate Author: EBSCOhost
Format: eBook
Language:English
Published: Indianapolis, Indiana : John Wiley & Sons Inc., [2021]
Subjects:
Data mining.
Machine learning.
Data Mining
Machine Learning
Exploration de données (Informatique)
Apprentissage automatique.
Data mining
Machine learning
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • Part I. Thinking like a data head. What is the problem?
  • What is data?
  • Prepare to think statistically
  • Part II. Speaking like a data head. Explore the data
  • Examine the probabilities
  • Challenge the statistics
  • Part III. Understanding the data scientist’s toolbox. Search for hidden groups
  • Understand the regression model
  • Understand the classification model
  • Understand text analytics
  • Conceptualize deep learning
  • Part IV. Ensuring success. Watch out for pitfalls
  • Know the people and personalities
  • What’s next?