Continue reading if you want to learn how to rapidly and simply create and master various Machine Learning algorithms.
Inside, we'll talk about a variety of subjects, including:
What is Machine Learning, and how is it used in real-world situations?
Distinguishing between Machine Learning, Deep Learning, and Artificial Intelligence
Supervised learning, unsupervised learning, and semi-supervised learning.
Models for machine learning training
How to Use Python Lists and Modules
Python's 12 Must-Have Machine Learning Libraries
And a lot more!
Do you want to learn more?
Scroll up and click the BUY NOW button to get your book right now!
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Nelson Holden
Continue reading if you want to learn how to rapidly and simply create and master various Machine Learning algorithms.
Inside, we'll talk about a variety of subjects, including:
What is Machine Learning, and how is it used in real-world situations?
Distinguishing between Machine Learning, Deep Learning, and Artificial Intelligence
Supervised learning, unsupervised learning, and semi-supervised learning.
Models for machine learning training
How to Use Python Lists and Modules
Python's 12 Must-Have Machine Learning Libraries
And a lot more!
Do you want to learn more?
Scroll up and click the BUY NOW button to get your book right now!
