Machine Learning for Beginners: The Comprehensive Guide to Artificial Intelligence and Data Science for Business Audiolivro Por Gabriel Baker capa

Machine Learning for Beginners: The Comprehensive Guide to Artificial Intelligence and Data Science for Business

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Machine Learning for Beginners: The Comprehensive Guide to Artificial Intelligence and Data Science for Business

De: Gabriel Baker
Narrado por: JM Debord
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Sobre este áudio

Become an expert on 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?

That is partially true, but the IT realm is ever-expanding. New technologies are being discovered every day, creating a need for new and diverse job categories.

Machine learning is currently the fastest growing IT sector. It 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 audiobook will teach you everything you need to know about this soon-to-become the most profitable area of computer science.

Here’s what you get with this audiobook:

  • A comprehensive guide on the machine learning field
  • Specific, applicable manuals on machine learning algorithms
  • A full cover of the central machine learning and AI topics
  • 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 audiobook is in plain English, in an educational but understandable way. You’ll have no problem keeping up with the content, even without any programming experience.

If you want to become a competitive expert on the job market, Scroll up, and Get Your Copy Now!

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©2020 Gabriel Baker (P)2020 Gabriel Baker

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