The Python Bible Volume 4: Machine Learning (Neural Networks, Tensorflow, Sklearn, SVM)

Become A Machine Learning Expert With Python Machine Learning is probably the most important and fastest-growing industry...
€13,93 EUR
€13,93 EUR
SKU: 9781086956764
Product Type: Books
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Author: Florian Dedov
Format: Paperback
Language: English
Subtotal: €13,93
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The Python Bible Volume 4: Machine Learning (Neural Networks, Tensorflow, Sklearn, SVM) by Dedov, Florian

The Python Bible Volume 4: Machine Learning (Neural Networks, Tensorflow, Sklearn, SVM)

€13,93

The Python Bible Volume 4: Machine Learning (Neural Networks, Tensorflow, Sklearn, SVM)

€13,93
Author: Florian Dedov
Format: Paperback
Language: English
Become A Machine Learning Expert With Python

Machine Learning is probably the most important and fastest-growing industry in today's world. It's a much hyped term and nowadays it can be found almost everywhere. In robots, video games, the stock market, home appliances and even in cars. The people who don't educate themselves on this matter will be overrun by the development instead of being a part of it.

In this fourth volume of The Python Bible, you will learn machine learning in Python from scratch. We will start with simple supervised learning algorithms like Regression and basic Classification. Also, we will learn about Support Vector Machines and Neural Networks. In the end, we will use Tensorflow to develop our own AI which recognizes handwritten digits.

After Reading This Book You Will Have The Following Skills:
  • Deep Understanding of Machine Learning
  • Applying Linear Regression to Basic Problems
  • Building Models for Classification of Complex Data
  • Implementing Support Vector Machines
  • Clustering Chaotic Data
  • Understanding and Building Neural Networks with Tensorflow
  • Building AI That Recognize Handwritten Digits
Master Machine Learning With Python

Author: Florian Dedov
Publisher: Independently Published
Published: 08/02/2019
Pages: 70
Binding Type: Paperback
Weight: 0.19lbs
Size: 7.99h x 5.00w x 0.17d
ISBN: 9781086956764

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