Machine Learning Concepts with Python and the Jupyter Notebook Environment: Usin

Description: Machine Learning Concepts with Python and the Jupyter Notebook Environment by Nikita Silaparasetty Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This book breaks down any barriers to programming machine learning applications through the use of Jupyter Notebook instead of a text editor or a regular IDE.Youll start by learning how to use Jupyter Notebooks to improve the way you program with Python. After getting a good grounding in working with Python in Jupyter Notebooks, youll dive into what TensorFlow is, how it helps machine learning enthusiasts, and how to tackle the challenges it presents. Along the way, sample programs created using Jupyter Notebooks allow you to apply concepts from earlier in the book.Those who are new to machine learning can dive in with these easy programs and develop basic skills. A glossary at the end of the book provides common machine learning and Python keywords and definitions to make learning even easier.What You Will LearnProgram in Python and TensorFlowTackle basic machine learning obstaclesDevelop in the Jupyter Notebooks environmentWho This Book Is ForIdeal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow 2.0 in the Jupyter Notebook Application. Some basic knowledge of Machine Learning concepts and Python Programming (using Python version 3) is helpful. FORMAT Paperback LANGUAGE English CONDITION Brand New Back Cover Create, execute, modify, and share machine learning applications with Python in the Jupyter Notebook environment. This book breaks down any barriers to programming machine learning applications through the use of Jupyter Notebooks instead of a text editor or a regular IDE. Youll start by learning fundamental concepts in Python necessary for working with machine learning application development. Then use Jupyter Notebooks to improve the way you program with Python. After grounding your skills in working with Python in Jupyter Notebooks, youll dive into what TensorFlow is, how it helps machine learning enthusiasts, and how to tackle the challenges it presents. Along the way, sample programs created using Jupyter Notebooks allow you to apply concepts from earlier in the book. Those who are new to machine learning can start in with these easy programs and develop basic skills. A glossary at the end of the book provides common machine learning and Python keywords and definitions to make learning even easier. You will: Program machine learning models in Python Tackle basic machine learning obstacles Develop in the Jupyter Notebooks environment Author Biography Nikita Silaparasetty is a Data Scientist and an AI/Deep Learning Enthusiast specializing in Statistics and Mathematics. She is presently the head of the Indian based AI For Women initiative, which aims to empower women in the field of Artificial Intelligence. She has strong experience programming using Jupyter Notebooks and a deep enthusiasm for TensorFlow and the potentials of Machine Learning. Through the book, she hopes to help readers become better at Python Programming using Tensorflow 2.0 with the help of Jupyter Notebooks, which can benefit them immensely in their Machine Learning journey. Table of Contents Chapter 1: An Overview of Artificial Intelligence.- Chapter 2: An Overview of Machine Learning.- Chapter 3: Introduction to Deep Learning.- Chapter 4: Machine Learning Versus Deep Learning.- Chapter 5: Machine Learning with Python.- Chapter 6: Introduction to Jupyter Notebooks.- Chapter 7: Python Programming on the Jupyter Notebook.- Chapter 8: The Tensorflow Machine Learning Library.- Chapter 9: Programming with Tensorflow 1.0.- Chapter 10: Introducing TensorFlow 2.0.- Chapter 11: Machine Learning Programming with TensorFlow 2.0. Feature Gain comfort in the Jupyter Notebooks environment, which makes programming in Python even easier Build a basic understanding of more complex Machine Learning concepts and how TensorFlow simplifies them in practice Program advanced applications using the familiar Python language Details ISBN1484259661 Author Nikita Silaparasetty Short Title Machine Learning Concepts with Tensorflow 2. 0 Language English Year 2020 ISBN-10 1484259661 ISBN-13 9781484259665 Format Paperback DOI 10.1007/978-1-4842-5967-2 Pages 290 Publication Date 2020-09-22 UK Release Date 2020-09-22 Edition 1st Imprint APress Place of Publication Berkley Country of Publication United States Illustrations 111 Illustrations, black and white; XXVII, 290 p. 111 illus. AU Release Date 2020-09-22 NZ Release Date 2020-09-22 US Release Date 2020-09-22 Publisher APress Edition Description 1st ed. Subtitle Using Tensorflow 2.0 Alternative 9781484267387 DEWEY 006.31 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:129892073;

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