Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets /

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With this book, you will learn how to perform various machine learning tasks in different environments. You'll use a wide variety of machine learning algorithms using Python to solve real-world problems. By the end of the book, you will learn to implement most used machine learning algorithms u...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Ciaburro, Giuseppe (Author), Joshi, Prateek (Author)
Format: Electronic eBook
Language:Inglés
Published: Birmingham, UK : Packt Publishing, 2019.
Edition:Second edition.
Subjects:
Python (Computer program language)
Machine learning.
Python (Langage de programmation)
Apprentissage automatique.
Biology, life sciences.
Computer hardware.
Consumer advice.
Information technology: general issues.
Computers. > Buyer's Guides.
Computers. > Bioinformatics.
Computers. > General.
Machine learning
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets, 2nd edition
  • Contributors
  • Table of Contents
  • Preface
  • Chapter 1: The Realm of Supervised Learning
  • Chapter 2: Constructing a Classifier
  • Chapter 3: Predictive Modeling
  • Chapter 4: Clustering with Unsupervised Learning
  • Chapter 5: Visualizing Data
  • Chapter 6: Building Recommendation Engines
  • Chapter 7: Analyzing Text Data
  • Chapter 8: Speech Recognition
  • Chapter 9: Dissecting Time Series and Sequential Data
  • Chapter 10: Analyzing Image Content
  • Chapter 11: Biometric Face Recognition
  • Chapter 12: Reinforcement Learning Techniques
  • Chapter 13: Deep Neural Networks
  • Chapter 14: Unsupervised Representation Learning
  • Chapter 15: Automated Machine Learning and Transfer Learning
  • Chapter 16: Unlocking Production Issues
  • Other Books You May Enjoy
  • Index.

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