Machine Learning and Deep Learning Using Python and TensorFlow

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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
  
  
  

  
  

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.