Applied Deep Learning with Python

Applied Deep Learning with Python

by Alex Galea, Luis Capelo

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Product Details

ISBN-13: 9781789804744
Publisher: Packt Publishing
Publication date: 08/31/2018
Pages: 334
Product dimensions: 7.50(w) x 9.25(h) x 0.70(d)

About the Author

Alex Galea has been professionally practicing data analytics since graduating with a master's degree in Physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks. Luis Capelo is a Harvard-trained analyst and a programmer, who specializes in designing and developing data science products. He is based in New York City, America. Luis is the head of the Data Products team at Forbes, where they investigate new techniques for optimizing article performance and create clever bots that help them distribute their content. He worked for the United Nations as part of the Humanitarian Data Exchange team (founders of the Center for Humanitarian Data). Later on, he led a team of scientists at the Flowminder Foundation, developing models for assisting the humanitarian community. Luis is a native of Havana, Cuba, and the founder and owner of a small consultancy firm dedicated to supporting the nascent Cuban private sector.

Table of Contents

Table of Contents

  1. Jupyter Fundamentals
  2. Data Cleaning and Advanced Machine Learning
  3. Web Scraping and Interactive Visualizations
  4. Introduction to Neural Networks and Deep Learning
  5. Model Architecture
  6. Model Evaluation
  7. Productization

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