عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9781484259672 (ebook)
(Number (ISBN
978-1-4842-5966-5 (pbk)
INTERNATIONAL STANDARD MUSIC NUMBER
(Number (ISMN
10.1007/978-1-4842-5
NATIONAL BIBLIOGRAPHY NUMBER
Number
5321
OTHER SYSTEM CONTROL NUMBERS
System Control Number
(OCoLC)on1197841179
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Machine Learning Concepts with Python and the Jupyter Notebook Environment
General Material Designation
[electronic resources]
Other Title Information
Using Tensorflow 2.0
First Statement of Responsibility
by Nikita Silaparasetty.
EDITION STATEMENT
Edition Statement
1st ed.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Berkeley, CA
Name of Publisher, Distributor, etc.
Imprint Apress.
Date of Publication, Distribution, etc.
2020.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xxvii, 290 p.
Other Physical Details
ill. (some color), tables.
NOTES PERTAINING TO BINDING AND AVAILABILITY
Text of Note
Access restricted by licensing agreement.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includse index.
CONTENTS NOTE
Text of Note
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.
0
SUMMARY OR ABSTRACT
Text of Note
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.
TOPICAL NAME USED AS SUBJECT
Entry Element
Machine learning.
Entry Element
Python (Computer program language).
Entry Element
Information visualization.
Entry Element
COMPUTERS / Intelligence (AI) & Semantics.
UNCONTROLLED SUBJECT TERMS
Subject Term
Information visualization.
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Silaparasetty, Nikita,
Relator Code
Author
ORIGINATING SOURCE
Country
ایران
Agency
Central Library of the Kurdistan University
Date of Transaction
20230429160834.0
ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier
https://go.oreilly.com/yale-university/library/view/-/9781484259672/?ar
Access method
Online book
e
BL
280328
a
Y
