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Big Data

How to Start with Data Science, Artificial Intelligence, Data Analytics and Machine Learning

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Big Data

Auteur(s): Artus Duval
Narrateur(s): Mack Allan, Chris Johnson
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À propos de cet audio

Do you want to discover all the secrets of Big Data, Deep Learning, and everything in between?

Have you ever asked yourself how can artificial intelligences learn from us? Do you want understand how does your smartphone personal assistant can understand you?

In this guide, Artus Duval will show you everything you need to know about big data, machine learning, artificial intelligence, and its huge impact on our world; a swell as how to benefit from it 100 percent!

In Big Data, you're going to uncover tons of eye-opening insights, such as:

  • What artificial intelligence and big data are, how they work, why are they important and how they would shape the future
  • The fundamental 7-step process of data analysis to be aware of if you want to become a proficient data scientist
  • Basic and advanced data analytics tools you can use for efficient business intelligence
  • Three powerful case studies showcasing the power that proper data analysis has to transform businesses and organizations
  • Useful and interesting use cases of artificial intelligence that makes it such a good idea
  • The definitive guide to machine learning as well as how to get started with it and choose the most suitable algorithm for use
  • And much more!

Whether you're new to the world of programming and are looking for clarity on what direction to take, or you're simply curious about what machine learning, AI, and big data has in store for the future and want to prepare for it, this guide makes it easy to actually understand implement machine learning and data analytics effectively.

Ready to start your journey into big data and machine learning? Get this audiobook and start learning today by listening to Big Data!

©2019 Artus Duval (P)2020 Artus Duval
Ingénierie Apprentissage automatique Science des données Intelligence artificielle Entreprise Programmation
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