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You're reading from  Statistics for Machine Learning

Product typeBook
Published inJul 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781788295758
Edition1st Edition
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Pratap Dangeti
Pratap Dangeti
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Pratap Dangeti

Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. He is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.
Read more about Pratap Dangeti

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Applications of reinforcement learning with integration of machine learning and deep learning


Reinforcement learning combined with machine learning, or deep learning, has created state-of-the-art artificial intelligence solutions for various cutting-edge problems in recent times. A complete explanation with code examples is beyond the scope of this book, but we will give you a high-level view of what is inside these technologies. The following are the most popular and known recent trends in this field, but the applications are not just restricted to these:

  • Automotive vehicle control (self-driving cars)
  • Google DeepMind AlphaGo for playing Go games
  • Robotics (with a soccer example)

Automotive vehicle control - self-driving cars

Self-driving cars are the new trend in the industry and many tech giants are working in this area now. Deep learning technologies, like convolutional neural networks, are used to learn Q-functions which control the actions, like moving forward, backward, taking left and right...

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Statistics for Machine Learning
Published in: Jul 2017Publisher: PacktISBN-13: 9781788295758

Author (1)

author image
Pratap Dangeti

Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. He is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.
Read more about Pratap Dangeti