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Apache Spark Deep Learning Cookbook

by Ahmed Sherif , Amrith Ravindra
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Current price ₹5,446.00
Original price ₹5,684.00
Original price ₹5,684.00
Original price ₹5,684.00
(-4%)
₹5,446.00
Current price ₹5,446.00

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Book cover type: Paperback
  • ISBN13: 9781788474221
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Packt Publishing
  • Publisher Imprint: Packt Publishing
  • Publication Date:
  • Pages: 474
  • Original Price: USD 57.99
  • Language: English
  • Edition: N/A
  • Item Weight: 808 grams
  • BISAC Subject(s): Artificial Intelligence / General

Apache Spark Deep Learning Cookbook presents useful tips and tricks to overcome any problem related to building efficient distributed deep learning applications on Apache Spark. With the help of this book, you will leverage powerful deep learning librarie

Sherif, Ahmed: - Ahmed SherifAhmed Sherif is a data scientist who has been working with data in various roles since 2005. He started off with BI solutions and transitioned to data science in 2013. In 2016, he obtained a master's in Predictive Analytics from Northwestern University, where he studied the science and application of ML and predictive modeling using both Python and R. Lately, he has been developing ML and deep learning solutions on the cloud using Azure. In 2016, he published his first book, Practical Business Intelligence. He currently works as a Technology Solution Profession in Data and AI for Microsoft.Amrith RavindraAmrith Ravindra is a machine learning enthusiast who holds degrees in electrical and industrial engineering. While pursuing his masters he dove deeper into the world of ML and developed the love for data science. Graduate level courses in engineering gave him the mathematical background to launch himself into a career in ML. He met Ahmed Sherif at a local data science meetup in Tampa. They decided to put their brains together to write a book on their favorite ML algorithms. He hopes that this book will help him achieve his ultimate goal of becoming a data scientist and actively contributing to ML.

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