Quickly Scale Up To Quantum Computing And Quantum Machine Learning Foundations And Related Mathematics And Expose Them To Different Use Cases That Can Be Solved...
This Book Presents An Integrated Collection Of Representative Approaches For Scaling Up Machine Learning And Data Mining Methods On Parallel And Distributed Computing Platforms. Demand...
The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of...
Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved...
Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Key Features Third edition of the...
The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.The growing interest in data mining is motivated...
The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.The growing interest in data mining is motivated...
Machine learning is one of the fastest growing areas of computer science, with farreaching applications. The aim of this textbook is to introduce machine learning,...
Machine learning is one of the fastest growing areas of computer science, with farreaching applications. The aim of this textbook is to introduce machine learning,...
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement...
The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in ?nancial systems when these are described in the...
Explore machine learning concepts using the latest numerical computing library TensorFlow with the help of this comprehensive cookbookKey FeaturesBook DescriptionTensorFlow is an open source software...
Python Machine Learning for BeginnersMachine Learning (ML) and Artificial Intelligence (AI) are here to stay. Yes, thats right. Based on a significant amount of data...
Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions....
UtilityBased Learning from Data provides a pedagogical, selfcontained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who...
This book is a multidisciplinary effort that involves worldwide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics,...
Python makes machine learning easy for beginners and experienced developersWith computing power increasing exponentially and costs decreasing at the same time, there is no better...
Gain expert guidance on how to successfully develop machine learning models in Python and build your own unique data platformsKey Features: Gain a full understanding...
For MAP (Minimum Advertised Price) violations and Intellectual Property (IP) or Trademark concerns, please contact:
support@ergodebooks.com
⚠️ California Proposition 65 Warning: Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.
Quickly Scale Up To Quantum Computing And Quantum Machine Learning Foundations And Related Mathematics And Expose Them To Different Use Cases That Can Be Solved...
This Book Presents An Integrated Collection Of Representative Approaches For Scaling Up Machine Learning And Data Mining Methods On Parallel And Distributed Computing Platforms. Demand...
The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of...
Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved...
Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Key Features Third edition of the...
The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.The growing interest in data mining is motivated...
The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.The growing interest in data mining is motivated...
Machine learning is one of the fastest growing areas of computer science, with farreaching applications. The aim of this textbook is to introduce machine learning,...
Machine learning is one of the fastest growing areas of computer science, with farreaching applications. The aim of this textbook is to introduce machine learning,...
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement...
The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in ?nancial systems when these are described in the...
Explore machine learning concepts using the latest numerical computing library TensorFlow with the help of this comprehensive cookbookKey FeaturesBook DescriptionTensorFlow is an open source software...
Python Machine Learning for BeginnersMachine Learning (ML) and Artificial Intelligence (AI) are here to stay. Yes, thats right. Based on a significant amount of data...
Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions....
UtilityBased Learning from Data provides a pedagogical, selfcontained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who...
Regular price$95.49
Quantity
Add to cart
Choosing a selection results in a full page refresh.
