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  • Machine Learning: 2 Book in 1

  • The Ultimate Guide to Artificial Intelligence, Data Science and Deep Learning with Python
  • 著者: Gabriel Baker
  • ナレーター: J.M. Debord
  • 再生時間: 7 時間 2 分

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無料体験終了後は月額¥1,500。いつでも退会できます。

Machine Learning: 2 Book in 1

著者: Gabriel Baker
ナレーター: J.M. Debord
¥1,750で会員登録し購入

無料体験終了後は月額¥1,500。いつでも退会できます。

¥2,500 で購入

¥2,500 で購入

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あらすじ・解説

Master Python machine learning even if you don’t have a tech background!

Are you interested in starting a career in the IT industry, but worry that the market is overly saturated with programmers, engineers, and various specialists?

Machine learning is currently the fastest growing IT sector. It’s an artificial intelligence branch and deals with building machines that can imitate humans and even adapt. Even Mark Zuckerberg, the CEO of Facebook has spoken positively on this trend.

If you haven’t heard about this already, there’s still time! This superior bundle will teach you everything you need to know about this soon-to-become the most profitable area of computer science. Thanks to the Python programming language and deep learning, even those who have never heard of this technology can use it.

Here’s what you get with this book:

  • A comprehensive guide on the machine learning and deep learning fields
  • A full, step-by-step manual for using Python
  • Specific, applicable manuals on machine learning algorithms
  • Instructions on how to use machine learning to make predictions
  • A guide on data science, and how to use it to improve your business
  • And so much more!

The problem with most IT instruction manuals is the too-technical way in which they’re written. It’s hard for someone who doesn’t come from a tech or computer science background to familiarize themselves with the subject. This bundle is written in plain English, in an educational but understandable way. You’ll have no problem keeping up with the content, even without any programming experience.

Scroll up, click, and get your copy now!

©2020 Gabriel Baker (P)2020 Gabriel Baker

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