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Data Science: 2 in 1 Bundle

著者: Artus Duval
ナレーター: Mack Allan, Chris Johnson, Nicholas Vogl
¥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

Discover everything you need to take your business to the next level, learning how to apply artificial intelligence and machine learning!

In our highly competitive world of today, we need all the edge we can to get ahead of our competitors. For a long time, companies have focused on spending more on marketing and advertisement, ignoring the powerful asset they had at their disposal: data. Although this isn't the case anymore for large companies, smaller businesses are still in the dark about this, and you can use this asset to your advantage. This bundle will show you how.

This audiobook contains everything you need to know about big data and machine learning for business. It contains the following books:

  1. Big Data: How to Start with Data Science, Artificial Intelligence, Data Analytics and Machine Learning
  2. Machine Learning: Guide to Deep Learning, Python and Neural Networks for Business

In Big Data, you're going to discover:

  • The basic process of data analysis to be aware of how to be a proficient data scientist
  • Basic and advanced data analytics tools you can use for efficient business intelligence
  • Powerful use cases of artificial intelligence that makes it such a good idea
  • And much more!

Here's what you're going to learn in Machine Learning:

  • Cutting edge machine learning algorithms that are currently being used by modern businesses
  • Powerful machine learning and deep learning tools, languages, and libraries you need to know about
  • Ways to analyze business data with the Python SciKit Learn library
  • And much more!

Filled with tons of deep insights into data science and machine learning, as well as practical advice to help you break into the world of business applications, there is something in this special bundle for you.

Scroll to the top of the page and purchase to start learning now!

©2019 Artus Duval (P)2019 Artus Duval

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