Quick and Dirty Guide to Deep Learning in R by Marvilano Mochtar
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Quick and Dirty Guide to Deep Learning in R

Quick and Dirty Guide to Deep Learning in R


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About the Book

This guide is about two things:1. Introduce you to the basic concept of Deep Learning. Bear in mind this guide is intended for business people whose main concern is how to practically use the model. So, the explanation will be short, 'punchy', and focusing on the basic idea, not in the mathematical details.2. Show you how to develop Deep Learning models in R, one of the world's most powerful and comprehensive modelling platforms-which is also free of charge (special thanks to all the good people out there). The intention is not to teach you the best practices of modelling, but to provide 'quick and dirty' codes for you to start building your predictive model in less than five minutes.
About the Author: Marvilano Mochtar is a business strategy expert who employs artificial intelligence to help businesses improve their performance. He currently serves as Lead Data Science for The Boston Consulting Group. He previously served as the Head of Data Science and Machine Learning with Coats plc, the world largest thread manufacturing company, and Strategy Consultant with the McKinsey&Company. He studied Data Mining at MIT Sloan, taught Multivariate Statistical Modelling to undergraduate and postgraduate students at ITB, holds MBA with Distinction from London Business School and graduated as Best Graduate & Cum Laude from ITB. He currently lives in London. Based in Boston, MA, Morenvino Mochtar is the de-facto expert in the area of digital security. He currently serves as a Senior Software Engineer with the Symantec Corporation, a global leader in next generation security and one of the most advanced technology companies in the world. Day to day, he is busy building and designing complex, performance-intensive solutions in the area of information security and data analytics. Previously, he worked as network security expert with the Gemalto at Paris, Stockholm, and Singapore. From time-to-time he employs deep learning to solve most complex problems in the field of digital security. He holds Master of Computer Science with Honor from the University of Chicago and Bachelor of Engineering in Software Engineering from Bandung Institute of Technology where he graduated as Best Graduate & Cum Laude. Michaelino Mervisiano currently serves as a Data Scientist with WoodMackenzie, a leading energy research & consultancy firm. He has an extensive experience in advanced mathematical modelling for decision making support in the Usher Institute's Centre of Medical Information, the World Bank, the University of Indonesia, and McKinsey&Company. He also taught postgraduate and undergraduate students at Faculty of Economics at UI and Data Science Bootcamp where he is one of the co-founders. He coached the Indonesian team in the 2013 International Mathematical Olympiad and the team won the first gold medals for Indonesia. He holds MSc in Statistics with Data Science (with First Class Honour) from the University of Edinburgh and BSc in Mathematics - majoring in Statistics and Actuary/Risk Modelling.


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Product Details
  • ISBN-13: 9781987620849
  • Publisher: Createspace Independent Publishing Platform
  • Publisher Imprint: Createspace Independent Publishing Platform
  • Height: 280 mm
  • No of Pages: 84
  • Series Title: Quick and Dirty Guide
  • Sub Title: for business people
  • Width: 216 mm
  • ISBN-10: 1987620844
  • Publisher Date: 13 Mar 2018
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 6 mm
  • Weight: 340 gr


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