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Machine Learning Simplified: A Beginners' Guide To Revolution
Learn Machine Learning in a SIMPLE WAYAre you uncomfortable with the puzzling Mathematics used in Machine Learning algorithms?
Do you want to learn the algorithms in an easy way?
Do you apply the ML algorithms as soon as possible and see it in action?
If your answer is Yes to any of these questions, then this book is absolutely for YOU.
Few years back, I started to learn Machine Learning in the traditional way. First, I went through the Mathematics, and then I understood the algorithms mathematically. After that, understood the application of each algorithm.
Finally, I went to the code. This is a good approach. No doubt.
But then I thought why can’t we do this the other way around? It would be easier for starters to keep them motivated and interested. Why is very little people supporting this?
So, I came up with this approach and wrote a book on this.
But if you are here to learn about the advanced Mathematics or want to write a research paper right after finishing this book, then you are going to be disappointed.
It is a Machine Learning book for beginners to help them get started.
This book focuses on introducing ML algorithms with simple maths, their applications, pros and cons and finally implement that in code.
We will use Python programming language and some great libraries like TensorFlow and Scikit Learn.
This book is designed for everyone. If you have a basic knowledge of python programming, then you can get the most out of this book.
Dive into the World of Machine Learning and Artificial Intelligence with this book.
We will learn different exciting topics
Linear RegressionNeural NetworksNatural Language ProcessingConvolutional Neural NetworksRecurrent Neural NetworksAnd many moreAnd right after learning each topic, we will do some amazing projects
Stock Price PredictionSentiment AnalysisHand Written Digits ClassifierDogs Breed ClassifierAnd many moreThis book is written by Rachin Kalakheti. He is the winner of Google Code-in. He has been certified by IBM on Machine Learning. He also runs a blogging site
SO DON'T WAIT AND GRAB YOUR COPY RIGHT AWAY.
Do you want to learn the algorithms in an easy way?
Do you apply the ML algorithms as soon as possible and see it in action?
If your answer is Yes to any of these questions, then this book is absolutely for YOU.
Few years back, I started to learn Machine Learning in the traditional way. First, I went through the Mathematics, and then I understood the algorithms mathematically. After that, understood the application of each algorithm.
Finally, I went to the code. This is a good approach. No doubt.
But then I thought why can’t we do this the other way around? It would be easier for starters to keep them motivated and interested. Why is very little people supporting this?
So, I came up with this approach and wrote a book on this.
But if you are here to learn about the advanced Mathematics or want to write a research paper right after finishing this book, then you are going to be disappointed.
It is a Machine Learning book for beginners to help them get started.
This book focuses on introducing ML algorithms with simple maths, their applications, pros and cons and finally implement that in code.
We will use Python programming language and some great libraries like TensorFlow and Scikit Learn.
This book is designed for everyone. If you have a basic knowledge of python programming, then you can get the most out of this book.
Dive into the World of Machine Learning and Artificial Intelligence with this book.
We will learn different exciting topics
Linear RegressionNeural NetworksNatural Language ProcessingConvolutional Neural NetworksRecurrent Neural NetworksAnd many moreAnd right after learning each topic, we will do some amazing projects
Stock Price PredictionSentiment AnalysisHand Written Digits ClassifierDogs Breed ClassifierAnd many moreThis book is written by Rachin Kalakheti. He is the winner of Google Code-in. He has been certified by IBM on Machine Learning. He also runs a blogging site
SO DON'T WAIT AND GRAB YOUR COPY RIGHT AWAY.
105 pages, Kindle Edition
Published April 28, 2020
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2 people want to read
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