Название: Machine Learning For Beginners: The Simplified Guide to Understanding Machine Learning Автор: Lee Jinwoo
Издательство: Amazon Digital Services LLC
Год: 2019
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB
An ordinary person who doesn't know anything about math and computers, but want to know about Machine Learning (ML). An office worker who wants to learn simple Machine Learning knowledge to adapt to the fourth industrial revolution. A high school student who wants to major in computer science to study Machine Learning and don't have much time to study Machine Learning because of studying SAT. A person like me who bought a book to study Machine Learning, but saw the thickness of a Machine Learning book, put Machine Learning book in the bookcase, and never took out that horrible book. If you are one of these people, you must buy this book right now and learn Machine Learning simply and quickly.
Why this book? Why special?
I was a student who was very interested in machine learning.
To learn about Machine Learning, I asked people for advice and tried to find a lot of information related to machine learning on the internet.
But the answers were coming back like,
"Go your room and study math when you are a student! Enter a Good University First!"
"Study C language first. All the basics of computers are C language."
After all, I didn't get a very helpful answer.
Even if I was an ordinary student who knew nothing about machine learning, I bought a very thick book of machine learning believing in my confidence with my goal of becoming a master of machine learning.
But sadly, My goal of becoming a Machine Learning master disappeared as soon as I opened the machine learning book that I bought.
Numerous mathematical formulas and esoteric computer Python languages have come out immense.
I didn't know about university mathematics because I didn't enter university yet, and I studied c languages as advised by others but knew nothing about Python.
So I closed the book, put it in the bookcase and made it a "Dead Book".
Over time, because media markets such as YouTube have been activated, and platforms to share various knowledge have begun to be available, I have been able to acquire machine learning knowledge through such platforms.
When I study machine learning in order to adapt to The Fourth Industrial Revolution, these thinking came to my mind.
"Could I make a book about machine learning that doesn't make people horrible because of difficult explanation?"
"Could I make machine learning book that is easy for beginners, especially those who don't know math and any computer language?"
Obviously, these ideas were very challenging to me because almost machine learning books have a majority of contents about math and computer language.
However, I put my thoughts into practice and finally the book "Machine Learning For Beginners: The Simplified Guide to understanding Machine Learning" came out of the world.
Unlike other Machine Learning books, This book does not include Math and Computer Languages, and It is a Newbie-Friendly book that explains how Machine Learning works in Step-By-Step.
Using this book "Machine Learning For Beginners: The Simplified Guide to understanding Machine Learning", you can learn the Machine Learning knowledge that is essential to survive The Fourth Industrial Revolution easily and quickly, and apply it to become even more valuable these days.
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