P R.E S E N T S              .

Advanced Mastering Learning With Python

DATE: 2018-12-14  SIZE: 2.14 MB    DISKS: 1x 10MB     PAGES: n/a

PUBLISHER: Packt Publishing                  GENRE:

AUTHOR: John Hearty

FORMAT: PDF   PROTECTION: DRM  EDITION: n/a

URL: https://is.gd/ZfYRvg

LANGUAGE: English   ISBN: 9781784398637

: Thanks for the Supply!                                                     :

: Solve challenging data science problems by mastering cutting-edge machine  :
: learning techniques in Python About 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 approach Who This Book Is For This title is for     :
: Python developers and analysts or data scientists who are looking to add t :
: 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 foun :
: 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 result :
: 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 together In Detail :
: Designed 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 designe :
: 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 approach This 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, providin :
: both broad contextual coverage and detailed guidance."                     :

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