| 000 -LEADER |
|---|
| fixed length control field |
02165cam a22002297i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| ISBN |
9781260462296 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| ISBN |
1260462293 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Item number |
K821 2021 |
| 100 1# - MAIN ENTRY--AUTHOR NAME |
|---|
| Personal name |
Konasani, Venkat Reddy, |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Machine learning and deep learning using Python and Tensorflow / Venkat Reddy Konasani, Shailendra Kadre. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication |
New York : |
| Name of publisher |
McGraw-Hill, |
| Year of publication |
©2021. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Number of Pages |
xix, 533 pages : |
| Other physical details |
illustrations ; 27 cm. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
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. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"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."-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Neural networks (Computer science). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Python (Computer program language). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Artificial intelligence. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kadre, Shailendra. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Books |
CSU-Carig