Machine Learning: For Beginners – Your Definitive guide For Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple (Machine Learning Series Book 1)
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Machine Learning: For Beginners – Your Definitive guide For Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple (Machine Learning Series Book 1)
Machine Learning for Beginners
Your Definitive guide For Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple
Have you ever pause and wonder why some companies like Amazon knows what you like or browsing and make timely recommendations to you?
Have you notice that some ads are really “sticky†and seem to follow you from your favorite websites to your Facebook or LinkedIn.
Everyone hates spam emails and if you have email accounts from different email providers, you can see which is doing a better job in filtering them out for you.
Machine Learning has become an important backend pillar for technologies to innovate and improve while continue learning to bring us the best possible results that we desire based on our feedbacks. With time, the results get better and more accurate which bring us better values such as convenience and save us time.
In this book, you will have a peek into what Machine Learning is all about and over the vast applications, which underpins this revolutionary AI technology.
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What you will learn in Machine Learning: Your Definitive guide For Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple
You will learn the in and outs of machine learning algorithms
You will discover some of the applications that have been developed as a result of machine learning
You will learn an important chapter that is fundamental to applying machine learning
You will learn what are the building blocks of machine learning
You will explore the 3 different types of machine learning algorithms
And many more..
This Machine Learning: Your Definitive guide For Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple is your must have guide to explore and learn about machine learning, neural networks, algorithms (Markov, Bayes, KNN, many more), random forests and decision trees.
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The Bottom Line:
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