Practical Machine Learning with Python A Problem-Solver's Guide to Building Real-World Intelligent Systems

Practical Machine Learning with Python A Problem-Solver's Guide to Building Real-World Intelligent Systems / by Dipanjan Sarkar, Raghav Bali, Tushar Sharma.

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to becom...

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Bibliographic Details
Main Authors: Sarkar, Dipanjan (Author), Bali, Raghav (Author), Sharma, Tushar (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berkeley, CA : Apress : Imprint: Apress, 2018.
Edition:1st ed. 2018.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Python (Computer program language).
Open source software.
Computer programming.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Chapter 1: Machine Learning Basics
  • Chapter 2: The Python Machine Learning Ecosystem
  • Chapter 3: Processing, Wrangling and Visualizing Data.-Chapter 4: Feature Engineering and Selection
  • Chapter 5: Building, Tuning and Deploying Models.-Chapter 6: Analyzing Bike Sharing Trends
  • Chapter 7: Analyzing Movie Reviews Sentiment
  • Chapter 8: Customer Segmentation and Effective Cross Selling
  • Chapter 9: Analyzing Wine Types and Quality
  • Chapter 10: Analyzing Music Trends and Recommendations
  • Chapter 11: Forecasting Stock and Commodity Prices
  • Chapter 12: Deep Learning for Computer Vision.

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