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

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 (author), Bali, Raghav. author, Sharma, Tushar. author
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2018.
Edition:1st ed. 2018.
Subjects:
Artificial intelligence.
Python (Computer program language).
Open source software.
Computer programming.
Artificial Intelligence.
Python.
Open Source.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630443106719
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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