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portada Machine Learning Concepts With Python and the Jupyter Not Environment: Using Tensorflow 2. 0
Type
Physical Book
Publisher
Year
2020
Language
English
Pages
320
Format
Paperback
Dimensions
23.4 x 15.6 x 1.7 cm
Weight
0.45 kg.
ISBN13
9781484259665
Edition No.
1

Machine Learning Concepts With Python and the Jupyter Not Environment: Using Tensorflow 2. 0

Nikita Silaparasetty (Author) · Apress · Paperback

Machine Learning Concepts With Python and the Jupyter Not Environment: Using Tensorflow 2. 0 - Silaparasetty, Nikita

Physical Book

£ 54.76

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Friday, June 28 and Wednesday, July 10.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Machine Learning Concepts With Python and the Jupyter Not Environment: Using Tensorflow 2. 0"

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.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 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.

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