The Resource Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python, John Hearty

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

Label
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
Title remainder
solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
Statement of responsibility
John Hearty
Creator
Subject
Language
eng
Summary
Annotation
Member of
Cataloging source
IDEBK
Dewey number
006.31
Index
index present
LC call number
QA76.73.P98
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Community experience distilled
Summary expansion
Solve challenging data science problems by mastering cutting-edge machine learning techniques in PythonAbout This Book Resolve complex machine learning problems and explore deep learning Learn to use Python code for implementing a range of machine learning algorithms and techniques A practical tutorial that tackles real-world computing problems through a rigorous and effective approachWho This Book Is ForThis title is for Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution, or of entering a Kaggle contest for instance, this book is for you!Prior experience of Python and grounding in some of the core concepts of machine learning would be helpful.What You Will Learn Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Apply your new found skills to solve real problems, through clearly-explained code for every technique and test Automate large sets of complex data and overcome time-consuming practical challenges Improve the accuracy of models and your existing input data using powerful feature engineering techniques Use multiple learning techniques together to improve the consistency of results Understand the hidden structure of datasets using a range of unsupervised techniques Gain insight into how the experts solve challenging data problems with an effective, iterative, and validation-focused approach Improve the effectiveness of your deep learning models further by using powerful ensembling techniques to strap multiple models togetherIn DetailDesigned to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential. Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data.The machine learning techniques covered in this book are at the forefront of commercial practice. They are applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce.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 this end of this book, you will learn a set of advanced Machine Learning techniques and acquire a broad set of powerful skills in the area of feature selection & feature engineering.Style and approachThis book focuses on clarifying the theory and code behind complex algorithms to make them practical, useable, and well-understood. Each topic is described with real-world applications, providing both broad contextual coverage and detailed guidance
Label
Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python, John Hearty
Publication
Note
Includes index
Bibliography note
Includes bibliographical references and index
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Control code
ocn955140539
Dimensions
unknown
Extent
1 online resource
Form of item
online
Isbn
9781784393830
Media category
computer
Media MARC source
rdamedia
Media type code
c
http://library.link/vocab/ext/overdrive/overdriveId
943050
http://library.link/vocab/recordID
.b36495414
Specific material designation
remote
System control number
  • (OCoLC)955140539
  • pebc1784393835

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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