TY  - BOOK
AU  - Konasani,Venkat Reddy
AU  - Kadre,Shailendra
TI  - Machine learning and deep learning using Python and Tensorflow
SN  - 9781260462296
U1  - 006.31 22
PY  - 2021///]
CY  - New York
PB  - McGraw-Hill
KW  - TensorFlow
KW  - BUEsh
KW  - Machine learning
KW  - Neural networks (Computer science)
KW  - Python (Computer program language)
KW  - Artificial intelligence
KW  - COMSCI
KW  - February2022
KW  - Reading book
N1  - 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
N2  - "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."--
ER  -