Image from Google Jackets

Machine learning and deep learning using Python and Tensorflow / Venkat Reddy Konasani, Shailendra Kadre.

By: Contributor(s): Material type: TextTextPublisher: New York : McGraw-Hill, [2021]Copyright date: ©2021Description: xix, 533 pages : illustrations ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781260462296
  • 1260462293
Subject(s): Genre/Form: DDC classification:
  • 006.31 22 KON
Contents:
Introduction to machine learning and deep learning -- Basics of Python programming and statistics -- Regression and logistic regression -- Decision trees -- Model selection and cross-validation -- Cluster analysis -- Random forests and boosting -- Artificial neural networks -- TensorFlow and Keras -- Deep learning hyperparameters -- Convolutional neural networks -- Recurrent neural networks and long short-term memory.
Summary: "This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today's smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text. Coverage includes: Machine learning and deep learning concepts; Python programming and statistics fundamentals; Regression and logistic regression; Decision trees; Model selection and cross-validation; Cluster analysis; Random forests and boosting; Artificial neural networks; TensorFlow and Keras; Deep learning hyperparameters; Convolutional neural networks; Recurrent neural networks and long short-term memory."-- Page 4 of cover.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Vol info Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library Lower Floor Alahram 006.31 KON (Browse shelf(Opens below)) 281 Checked out 09/05/2024 000056172
Total holds: 0

Includes bibliographical references and index.

Introduction to machine learning and deep learning -- Basics of Python programming and statistics -- Regression and logistic regression -- Decision trees -- Model selection and cross-validation -- Cluster analysis -- Random forests and boosting -- Artificial neural networks -- TensorFlow and Keras -- Deep learning hyperparameters -- Convolutional neural networks -- Recurrent neural networks and long short-term memory.

"This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today's smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text. Coverage includes: Machine learning and deep learning concepts; Python programming and statistics fundamentals; Regression and logistic regression; Decision trees; Model selection and cross-validation; Cluster analysis; Random forests and boosting; Artificial neural networks; TensorFlow and Keras; Deep learning hyperparameters; Convolutional neural networks; Recurrent neural networks and long short-term memory."-- Page 4 of cover.

There are no comments on this title.

to post a comment.

© BUE Library 2020