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Beschreibung
Are you ready to leverage the power of machine learning? Well, this is the basic theory you need to go through first! What if you could learn about machine learning without needing any coding experience or prior knowledge? Imagine adding 'machine learning' to your LinkedIn profile and actually be able to use it to sort through data! Multi-time best selling information technology and mathematics author, Edward Mize, presents the perfect introduction to machine learning for any beginner. With books and a blog that receives tens of thousands of readers monthly, Edward has compiled the most practical and high-level introduction to the components and statistical concepts found in machine learning. Well-known and incredibly popular for his ability to teach complex topics in an easy-to-understand way, you won't have any issues grasping these plain-English explanations. Do you want to learn about and implement machine learning but don't know where to begin? Do you want to master the basics so you can start digging deeper into machine learning? Or if the idea of exploring machine learning in an easy and engaging way at home sounds appealing to you... THEN THIS BOOK IS FOR YOU! In this book, you will get:
A comprehensive breakdown of the basics of machine learning that every beginner needs to know, understand, and master (explained in simple terms that anyone can understand).
Clear explanations and visual representations of all concepts taught, such as decision trees.
An introduction to the different concepts in machine learning, such as association analysis, recommender systems, regression analysis, data reduction, and more.
Edward's personal email address for unlimited customer support if you have any questions.
And much, much more...
Well, what are you waiting for? Grab your copy today by clicking the BUY NOW button at the top of this page!
Produktdetails
- Typ:
- Buch
- Einband:
- Taschenbuch
- Sprachen:
-
Original:
Englisch
- Seitenzahl:
-
102
- Herausgeber:
-
Venture Ink
- Veröffentlichungsdatum:
-
2019-07-23
- ISBN / EAN:
-
9781922304094
- Gewicht:
-
161 g
- Maße:
-
15/23/1 cm
- GPSR-Herstellerreferenz:
-
[email protected]
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