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  • Deep Learning

  • The Comprehensive Guide to Machine Learning with Python
  • 著者: Gabriel Baker
  • ナレーター: J.M. DeBord
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Deep Learning

著者: Gabriel Baker
ナレーター: J.M. DeBord
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あらすじ・解説

Yes, you can master deep learning. Here’s how!

If you’ve been to any tech news site recently, you’ve probably been bombarded with phrases like “artificial intelligence”, “data science”, and “deep learning”. These concepts are hot right now and tech companies all over the world are desperately searching for experts in these fields.

Deep learning is a very exciting concept. Before, computers could only do what they were directly taught. Today, they can make sense of unstructured data and learn without supervision, like good college students. This unsupervised learning from unstructured data is called deep learning.

This book will explain the key concepts of deep learning and teach you the basics of Python, the programming language most widely used in deep learning.

Here’s what you’ll learn:

  • The foundations of Python - this programming language is a MUST if you’d like to dabble in deep learning
  • The surprising differences between the concepts of artificial intelligence, deep learning, machine learning, and data science
  • Easy-to-understand practical applications of deep learning such as image recognition, fraud detection, and many others
  • What “big data” is and why you should care
  • And much, much more!

Even if programming scares you, you’ll still benefit greatly from this book. You don’t have to be a coder to understand and appreciate the benefits of deep learning technologies.

Are you ready to learn more?

Get your copy now!

©2019 Gabriel Baker (P)2020 Gabriel Baker

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