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Tristan Luminous的圖書 |
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$ 86 電子書 | Machine Learning For Beginners Guide Algorithms: Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction
作者：Tristan Luminous 出版社：William Sullivan 出版日期：2017-12-22 語言：英文  樂天KOBO - 電腦
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200+ pages of valuable content!
Machines can LEARN?!?!
Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures.
Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning.
Note: Bonus chapters included inside!
Instead of spending hundreds or even thousands of dollars on courses/materials why not read this book instead? Its a worthwhile read and the most valuable investment you.
Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning.
Note: Bonus chapters included inside!
What You'll Learn
Supervised Learning
-Unsupervised Learning
- Reinforced Learning
-Algorithms
-Decision Tree
-Random Forest
-Neural Networks
-Python
-Deep Learning
This is the most comprehensive and easy to read step by step guide in machine learning that exists.
Learn from one of the most reliable programmers alive and expert in the field.
You do not want to miss out on this incredible offer!
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