Research Catalog

Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python

Title
Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python / John Hearty.
Author
Hearty, John
Publication
  • Birmingham, UK : Packt Publishing, 2016.
  • ©2016

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StatusFormatAccessCall NumberItem Location
TextRequest in advance QA76.73.P98 H43 2016gOff-site

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Details

Description
xii, 254 pages : illustrations; 24 cm
Summary
The machine learning techniques covered in this book are at the forefront of commercial practice such as image recognition, NLP and web search, computational creativity and commercial/financial data modeling. Deep learning algorithms and ensembles of models are in the use by data scientists at top tech and digital companies. This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning, and more, in real-world applications. We will also learn about NumPy and Theano. By the end of this book, you will have learned a set of advanced machine learning techniques and acquire a broad set of powerful skills in the area of feature selection and feature engineering.
Subject
  • Python (Computer program language)
  • Machine learning
Bibliography (note)
  • Includes bibliographical references and an index.
Contents
Unsupervised Machine Learning -- Deep Belief Networks -- Stacked Denoising Autoencoders -- Convolutional Neural Networks -- Semi-Supervised Learning -- Text Feature Engineering -- Feature Engineering Part II -- Ensemble Methods -- Additional Python Machine Learning Tools
ISBN
  • 1784398632
  • 9781784398637
LCCN
99978877736
OCLC
  • ocn948336349
  • 948336349
  • SCSB-9229719
Owning Institutions
Columbia University Libraries