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Progress Towards an Artificial General Intelligence
In 2020, several powerful AI programs were developed which have the potential to alter many aspects of our everyday life. What are these programs, and who is behind them?
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Master the world of Python and machine learning with this incredible four-in-one bundle.
Are you interested in becoming a Python pro? Or do you want to learn more about the incredible world of machine learning and what it can do for you? Then pay attention.
Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and machine learning, from basic code and mathematical formulas to complex neural networks and ensemble modeling. Inside, you’ll discover everything you need to know to get started with Python and machine learning and begin your journey to success!
In audiobook one, Machine Learning for Beginners, you’ll learn:
What is artificial intelligence really, and why is it so powerful?
Choosing the right kind of machine learning model for you
An introduction to statistics
Reinforcement learning and ensemble modeling
“Random forests” and decision trees
And much more!
In audiobook two, Machine Learning Mathematics, you will:
Learn the fundamental concepts of machine learning algorithms
Understand the four fundamental types of machine learning algorithm
Master the concept of “statistical learning"
Learn everything you need to know about neural networks and data pipelines
Master the concept of “general setting of learning”
And much more!
In audiobook three, Learning Python, you’ll discover:
How to install, run, and understand Python on any operating system
A comprehensive introduction to Python
Python basics and writing code
Writing loops, conditional statements, exceptions, and more
Python expressions and the beauty of inheritances
And more!
And in audiobook four, Python Machine Learning, you will:
Learn the fundamentals of machine learning
Master the nuances of 12 of the most popular and widely used machine learning algorithms
Become familiar with data-science technology
Dive into the functioning of scikit-learn library and develop machine learning models
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