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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 rigide

 
9781914378737: 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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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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Autres éditions populaires du même titre

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

Edition présentée

ISBN 10 :  1696563119 ISBN 13 :  9781696563116
Editeur : Independently published, 2019
Couverture souple