Hand-on machine learning with scikit-learn, keras, and tensorflow : (Record no. 65808)

MARC details
000 -LEADER
fixed length control field 01947nam a22002057a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200615b2019 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789352139057
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 GEO-A
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Geron, Aurelien
245 ## - TITLE STATEMENT
Title Hand-on machine learning with scikit-learn, keras, and tensorflow :
Remainder of title conceopts, tools and techniques to build intelligent systems /
Statement of responsibility, etc. Aurelien Geron
250 ## - EDITION STATEMENT
Edition statement 2nd ed.,
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. India
Name of publisher, distributor, etc. Shroff Publsihers
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 819 p.
365 ## - TRADE PRICE
Price type code INR
Price amount 2275.00.
500 ## - GENERAL NOTE
General note Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.<br/><br/>By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.<br/><br/>Explore the machine learning landscape, particularly neural nets<br/>Use Scikit-Learn to track an example machine-learning project end-to-end<br/>Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods<br/>Use the TensorFlow library to build and train neural nets<br/>Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning<br/>Learn techniques for training and scaling deep neural nets
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Checked out Date last seen Date last checked out Price effective from Koha item type
  Dewey Decimal Classification     003-007 BITS Pilani Hyderabad BITS Pilani Hyderabad Text & Reference Section (Student cannot borrow these books) 15/06/2020 2275.00 7 1 006.31 GER-A 41451 12/08/2025 01/07/2024 01/07/2024 15/06/2020 Course Reference Books
  Dewey Decimal Classification     003-007 BITS Pilani Hyderabad BITS Pilani Hyderabad Text & Reference Section (Student cannot borrow these books) 10/02/2022 2475.00 8 1 006.31 GER-A 44752 06/11/2025 13/11/2024 13/11/2024 10/02/2022 Course Reference Books
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