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    Deep Learning Made Easy with R: Breakthrough Techniques to Transform Performance

    By N.D Lewis

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    Who Else Wants to Master Deep Learning in Half the Time?


    Start building smarter models today using R !



    Deep Learning Made Easy with R: Volume III is designed for anyone who wants to master the subject in the minimum amount of time. It leverages the power of the FREE predictive analytic package R to provide you with the necessary tools to maximize your understanding, deepen your knowledge and unleash deep learning ideas to enhance your data science projects.

    YOU'LL LEARN HOW TO:
  • Mobilize multi-task learning to solve challenging problems.

  • Leverage Python to maximize your deep learning solutions.

  • Implement semi-supervised learning to intensify the power of your neural networks.

  • Deploy deep stacking to boost predictive performance.

  • Fine tune deep networks to boost, accelerate, and transform predictive performance.

  • Use advanced tools to diagnose, discover and generate greater clarity.

  • Innovate and design outstanding solutions with custom deep learning architectures



  • Build Deep Learning Models Faster!


    Bestselling Data Scientist Dr. N. D Lewis cuts a clear path through the jargon, opening the way for you to discover, understand, apply and exploit the potential of advanced deep learning techniques in your own research.
    THIS BOOK IS FOR YOU IF YOU WANT:
  • Real world applications that make sense.

  • Examples to stimulate your thinking.

  • Illustrations to deepen your understanding.

  • Worked examples in R you can easily follow and immediately implement.

  • Ideas you can actually use.

  • Whether you are using data to exploit the next great opportunity in the financial markets or exploring data to assess the effectiveness of a new medical treatment. You want access to the very best in predictive analytics. Accelerate your learning, boost your productivity, unleash breakthrough techniques for greater performance. This is an exciting time to be involved in data science. Buy this book today and join the data science revolution!
    Download eBook Link updated in 2017
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