Data Analytics
Introduction and Guide to Data Science, Analysis, Artificial Intelligence and Machine Learning
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Narrated by:
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Chris Johnson
About this listen
If you want to learn and completely understand the essentials of deep learning, data analysis, machine learning, and artificial intelligence, then keep reading...
Have you ever wondered how your smartphone's personal assistant works? Do you want to finally crack the code to machine learning and artificial intelligence but don't know where to begin?
If yes, then this guide is for you.
In this guide, Markus Schellander shows you everything you need to know about data analytics, machine learning, artificial intelligence, and its huge impact in our fast-moving world of today, as well as how to position yourself to benefit massively from it in the future.
In Data Analytics, you're going to uncover tons of eye-opening insights, such as:
- The basic seven-step process of data analysis to be aware of if you want to become a competent 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
- What artificial intelligence is, how it works, why it is important, and how it would shape the future
- Powerful use cases of artificial intelligence that makes it such a good idea
- The ultimate guide to machine learning as well as how to get started with it and choose the perfect 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? Scroll up and purchase to start learning today!
©2019 Markus Schellander (P)2019 Markus SchellanderWhat listeners say about Data Analytics
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Anonymous User
- 25-02-21
poorly read
I feel this is an example of a book that would have been easier read than listened to. some complex topics where hard to understand
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1 person found this helpful
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- BrettHess
- 21-11-19
Excellent book to get fundamentals for Data Analyt
This audible is probably part of the Seldon (Information-analytical system) plan. These are the fastest route for valuable career and a bit more. Thanks to the author for great book.
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- Amazon Customer
- 06-12-20
Terrible
I gave up after listening to the first chapter (about 20 minutes). The content (up to the end of chapter 1) isn't wrong but it isn't useful unless you already know a decent amount about data analytics. The quality of the sample is much higher than what follows. The reading is laughable in places. For example, "casual" instead of "causal". The English grammar is off in many places. I'm guessing it was machine translated from something like Chinese and machine narrated, I regret this purchase. I'm guessing the 5 star reviews are fake - I noticed they are all dated 20/5/20.
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2 people found this helpful