Description: Machine Learning Concepts with Python and the Jupyter Notebook Environment Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Using Tensorflow 2.0 Author(s): Nikita Silaparasetty Format: Paperback Publisher: APress, United States Imprint: APress ISBN-13: 9781484259665, 978-1484259665 Synopsis Create, execute, modify, and share machine learning applications with Python and TensorFlow [url] 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. You'll 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, you'll 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 Learn Program in Python and TensorFlow Tackle basic machine learning obstacles Develop in the Jupyter Notebooks environment Who This Book Is For Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow [url] in the Jupyter Notebook Application. Some basic knowledge of Machine Learning concepts and Python Programming (using Python version 3) is helpful.
Price: 39.32 GBP
Location: Aldershot
End Time: 2024-11-16T09:08:41.000Z
Shipping Cost: 25.83 GBP
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Book Title: Machine Learning Concepts with Python and the Jupyter Notebook...
Number of Pages: 290 Pages
Language: English
Publication Name: Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
Publisher: Apress
Publication Year: 2020
Subject: Computer Science
Item Height: 235 mm
Item Weight: 492 g
Type: Textbook
Author: Nikita Silaparasetty
Item Width: 155 mm
Format: Paperback