Machine Learning and Deep Learning Using Python and Tensorflow

Venkata Reddy Konasani

ISBN 10: 1260462293 / ISBN 13: 9781260462296

Published by Mcgraw Hill LLC Feb 2021, 2021

About this Item

Neuware - Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Seller Inventory # 9781260462296

Bibliographic Details

• Title: Machine Learning and Deep Learning Using Python and Tensorflow
• Publisher: Mcgraw Hill LLC Feb 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 1260462293
• ISBN 13: 9781260462296
• Binding: Buch
• Condition: Neu
• Dimensions: 259W x 209H x 31D millimeters 259 millimeters width by 209 millimeters height by 31 millimeters depth
• Weight: 1184 grams

About this title

Synopsis

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Understand the principles and practices of machine learning and deep learning 

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
  
  
  

  
  

About the Author

Venkata Reddy Konasani is a data scientist and corporate trainer with experience in credit risk modeling, market response model building, social media analytics, and machine learning and deep learning. He holds a Master's degree in applied statistics and informatics from IIT Bombay.

Shailendra Kadre works at Hewlett Packard and holds a master’s degree in mechanical engineering from IIT Delhi. He is the author of two books and numerous articles dealing with business analytics.