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Python Machine Learning: A Beginner's Guide to Python Programming for Machine Learning and Deep Learning, Data Analysis, Algorithms and Data Science With Scikit Learn, TensorFlow, PyTorch and Keras. - Couverture souple

 
9781801091602: Python Machine Learning: A Beginner's Guide to Python Programming for Machine Learning and Deep Learning, Data Analysis, Algorithms and Data Science With Scikit Learn, TensorFlow, PyTorch and Keras.

Synopsis


Mastering Machine Learning with Python: A Step-by-Step Guide (That ANYONE Can Follow)
Learn Why You Might Be Failing at Python Programming and How You Can Fix It.
Learn the essential tools every beginner should know about Python. Get the methods that will help you complete your projects successfully like the pros. This is the book every aspiring programmer needs to have. Learn how to try fresh ideas and learn problem solving, improve your programming skills, but above all, boost your confidence. Imagination and creativity will open the door to new projects you never thought possible. Are you disappointed and overwhelmed by too much, and even contradicting, information on the internet? Highly unrealistic and time-consuming projects? Small details are missing, and instructions are confusing?
See what (really) goes into Python programming that works. Don't hesitate and get  Python Machine Learning   and start your journey now! If you are tired of failed and time-consuming projects, the grab your copy and find lots of brain-boosting ideas inside. Get actionable tips to finish your projects the way you always wanted. Discover why Python is much better than traditional methods. With the help of this guide, you can bring out your inner potential.
Start your journey today.
Here's what you will love about this book: What is  Python Machine Learning,  anyway? Here's how to get started. Find out the "Whys" and "Hows" of Python The One PROVEN Way for Effective Implementation of Machine Learning Algorithms Find Out the EASIEST Way for Mastering Machine Learning with Python. Learn Importance of Learning Data ysis in Python. The truth about Deep Learning vs Machine Learning The Secret to Machine Learning with Scikit-Learn Discover Deep Learning with TensorFlow. The Essential Key Tips & Tricks for Deep Learning with PyTorch and Keras.

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À propos de l?auteur

ZACH CODINGS was born in Seattle in 1975. He is one of the world's leading experts in computer science and cybersecurity. Since childhood, Zach has always loved computers, which were much less evolved than today's machines. He was self-taught and wrote his first program when he was only 14 years old. It was a simple game but making it at that time was not easy! Thanks to his resourcefulness, he was noticed by the high school's computer science professor, who immediately recognized his talent. Through his teachings, he quickly learned the basics of computer science. He became increasingly passionate about the world of computers. During his college he began to take an interest in cybersecurity. After graduating with top grades, he worked hard to create an innovative security system, which he still distributes today through his computer company. Zach runs his cybersecurity company and contributes to the digital security of hundreds of his customers. The author's mission is to help beginners worldwide master the art of programming and fascinate even the youngest to the beautiful computer science world. Zach sees programming languages as an accurate means of creative expression that can provide excellent personal and professional satisfaction if well mastered.

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Zustand: Hervorragend | Seiten:...
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9781696563116: Python Machine Learning: A Beginner’s Guide to Python Programming for Machine Learning and Deep Learning, Data Analysis, Algorithms and Data Science With Scikit Learn, TensorFlow, PyTorch and Keras

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ISBN 10 :  1696563119 ISBN 13 :  9781696563116
Editeur : Independently published, 2019
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Zach Codings
Edité par Zach Codings, 2020
ISBN 10 : 1801091609 ISBN 13 : 9781801091602
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 148 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 36989004/1

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