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This textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at University of Cali... -
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to i... -
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensi... -
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python package... -
Unlock the Power of Deep Learning Embark on an extraordinary journey into the realm of cutting-edge technology with The Little Book of Dee... -
Code : a = 10 if a = 30 or 40 or 60 : print('Hello') else : print('Hi') Solution and Explanation: Answer : Error The equalit...
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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions,... -
Code : num = [10, 20, 30, 40, 50] num[2:4] = [ ] print(num) Solution and Explanation : In the provided code, you have a list num containing...
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There are 9 modules in this course Learn how to think the way mathematicians do – a powerful cognitive process developed over thousands of... -
This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that bor...
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