machine learning di zhou zhi hua (84 risultati)

Condizione: Fine. *Price HAS BEEN REDUCED by 10% until Monday, June 23. Order now for BEST SAVINGS* 236 pp., hardcover, previous owner's name neatly inked to the title page, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.

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paperback. Condizione: New. Language:Chinese.Paperback. Publisher: Tsinghua University Press. This book introduces the discussion on machine learning.

paperback. Condizione: New. Paperback. Pub Date: 2009 09 Pages: 234 Language: Chinese in Publisher: Tsinghua University Press machine learning and its application 2009 to invite experts in related fields author introduces some of the areas of research progress in machine learning. summarized in the form of. The book is divided into 10 chapters. covering regularization. Boosting. cluster analysis. causal discovery. dimension reduction. reinforcement learning. transfer learning. manifold learning. multi-instance multi-lab.

paperback. Condizione: New. Paperback. Pub Date: November 2011 Pages: 258 Language: Chinese in Publisher: Tsinghua University Press machine learning is a very important field of research in computer science and artificial intelligence. In recent years. machine learning not only play an active role in many areas of computer science. but also become an important support of interdisciplinary technology. China Computer Federation academic writings Series Knowledge Science Series: Machine Learning and Its Application 2011 in.

paperback. Condizione: New. Language:Chinese.Paperback. Publisher: Tsinghua University.

paperback. Condizione: New. Language:Chinese. Binding:paperback.

paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2020-08-01 Publisher: Electronic Industry Publishing House Integrated learning method is a kind of advanced machine learning method. This kind of method trains multiple learners and combines them to solve a problem. Great success.?Integrated Learning: Basics and Algorithms is divided into three parts.?The first part mainly introduces the background knowledge of ensemble learning; the second part mainly introduces the core knowledge of ensemble learning me.

paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2016-01-01 Publisher: electronic industry press Tsinghua university press machine learning is an important branch of computer science and artificial intelligence fields. Book for the entry in the field of teaching materials. covering as much as possible in the content of machine learning all aspects of basic knowledge. The book chapter 16. roughly divided into three parts: part 1 (1 ~ 3.

paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2016-01-01 Publisher: tsinghua university press of posts and telecommunications press machine learning research in the field of artificial intelligence is an important research direction. in the context of the current era of big data. capture data and to extract valuable information or pattern. become the industry strives for the survival and development of decisive measures. which makes the past for analysts and.

paperback. Condizione: New. Paperback. Pub Date: 2013-06-01 Pages: 740 Language: Chinese Publisher: Peoples Posts and Telecommunications Press. Tsinghua University Press Machine Learning in Action: Machine learning is an extremely important research direction in the field of artificial intelligence research. Under the background of the era of big data. capturing data and extracting valuable information or patterns from it has become a decisive means for various industries to survive and develop. This makes this research.

paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2018-07-01 Publisher: Tsinghua University Press Machine Learning is an important branch of computer science and artificial intelligence. This book is an introductory textbook in this field. covering as much as possible the basics of machine learning. Aspect. The book consists of 16 chapters and is roughly divided into three parts: Part 1 (Chapters 13) introduces the basics of machine learning; 2nd.

paperback. Condizione: New. Language:Chinese.Paperback.Pub Date:2021-03-01 Publisher: Tsinghua University Press. People's Posts and Telecommunications Press. Machine learning is an important branch of computer science. This book serves as an introductory textbook in this field and covers the basics of machine learning as much as possible. All aspects.?The book has 16 chapters. roughly divided into 3 parts: Part 1 (Chapters 1 to 3) introduces the basic knowledge of machine learning; Part 2 (Chapters 4 to 10) discusses so.

paperback. Condizione: New. Paperback. Pub Date: 2016-01-01 Pages: 580 Language: Chinese Publisher: Tsinghua University Press. People's Posts and Telecommunications Press Machine Learning: Machine learning is an important branch of computer science.?As an introductory textbook in this field. the book covers all aspects of the basics of machine learning as much as possible in content.?The book consists of 16 chapters. roughly divided into 3 parts: Part 1 (Chapters 1 to 3) introduces the basic knowledge of machine learnin.

paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2021-03-01 Publisher: Peoples Posts and Telecommunications Press. Tsinghua University Press Machine Learning Machine learning is an important branch of computer science and artificial intelligence. This book serves as an introductory textbook in this field. Cover all aspects of the basics of machine learning as much as possible. The book has 16 chapters. roughly divided into 3 parts: Part 1 (Chapters 1 to 3) introduces the basics of machine learning; Part.

paperback. Condizione: New. Paperback. Pub Date: 2020-09-01 Pages: 552 Language: Chinese Publisher: Machinery Industry Press Machine Learning Theory Guide: Machine Learning Theory Guide is designed for readers who are interested in the study and research of machine learning theory Provide an introductory guide.?After pre-knowledge. the chapters of the book focus on: learnability. (hypothetical space) complexity. generalization. stability. consistency. convergence. and regret.?In addition to introducing basic concepts. i.

paperback. Condizione: New. Paperback. Pub Date: 2020-09-01 Pages: 620 Language: Chinese Publisher: Machinery Industry Press. Tsinghua University Press Machine Learning Theory Guide: This book is designed for readers who are interested in the study and research of machine learning theory Provide an introductory guide.?After pre-knowledge. the chapters of the book focus on: learnability. (hypothetical space) complexity. generalization. stability. consistency. convergence. and regret.?In addition to introducing basic conc.

paperback. Condizione: New. Language:Chinese.Paperback. Pub Date:2017-06-01 Publisher: Tsinghua University Press Machine learning is an important branch of computer science and artificial intelligence. This book is an introductory textbook in this field. covering as much as possible the basics of machine learning. Aspect. The book consists of 16 chapters and is roughly divided into three parts: Part 1 (Chapters 13) introduces the basics of machine learning; 2nd.

paperback. Condizione: New. Paperback. Pub Date: 2019-05-01 Pages: 889 Language: Chinese Publisher: Tsinghua University Press Statistical Learning Methods (2nd Edition): Statistical learning methods. namely machine learning methods. are one of the fields of computer and its application Important subjects.?The book is divided into two parts: supervised learning and unsupervised learning. which comprehensively and systematically introduce the main methods of statistical learning.?Including perceptron. k-nearest neighbor m.

paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2017-12-01 Publisher: Tsinghua University Press Machine Learning is an important branch of computer science and artificial intelligence. This book is an introductory textbook in this field. covering as much as possible the basics of machine learning. Aspect. The book consists of 16 chapters and is roughly divided into three parts: Part 1 (Chapters 13) introduces the basics of machine learning; 2nd.

paperback. Condizione: New. Paperback. Pub Date: 2019-05-01 Pages: 887 Language: Chinese Publisher: Tsinghua University Press Statistical Learning Methods (2nd Edition): Statistical learning methods. namely machine learning methods. are one of the fields of computer and its application Important subjects.?The book is divided into two parts: supervised learning and unsupervised learning. which comprehensively and systematically introduce the main methods of statistical learning.?Including perceptron. k-nearest neighbor m.

paperback. Condizione: New. Paperback. Pub Date: 2013-06-01 Language: Chinese Publisher: People's Posts and Telecommunications Press. Tsinghua University Press Machine Learning in Action: Machine learning is an extremely important direction in the field of artificial intelligence research.?In the context of the current era of big data. capturing data and extracting valuable information or patterns from it has made this research field that used to be exclusive to analysts and mathematicians more and more attention.?Machi.

paperback. Condizione: New. Paperback. Pub Date: 2020-11-01 Language: Chinese Publisher: Machinery Industry Press. Tsinghua University Press. People's Posts and Telecommunications Press Machine Learning Theory Guide: This book is designed for those interested in machine learning theory study and research The readers provide an introductory guide.?After pre-knowledge. the chapters of the book focus on: learnability. (hypothetical space) complexity. generalization. stability. consistency. convergence. and regret.?In addit.

paperback. Condizione: New. Paperback. Pub Date: 2016-01-01 Publisher: People's Posts and Telecommunications Press. Tsinghua University Press Machine Learning Theory Guide-This book aims to provide an introductory guide for readers who are interested in machine learning theory study and research.?After preparing the knowledge. the chapters of the book focus on: learnability. (hypothetical space) complexity. generalization bound. stability. consistency. convergence rate. regret bound.?In addition to introducing basic con.

paperback. Condizione: New. Paperback. Pub Date: 2016-01-01 Publisher: People's Posts and Telecommunications Press. Tsinghua University Press Deep Learning is written by three well-known experts Ian Goodfellow. Yoshua Bengio and Aaron Courville. It is a foundational classic textbook in the field of deep learning. .?The content of the book consists of 3 parts: the part introduces the basic mathematical tools and machine learning concepts. which are the prerequisites for deep learning; the second part systematically expla.

paperback. Condizione: New. Paperback. Pub Date: 2016-01-01 Publisher: People's Posts and Telecommunications Press. Tsinghua University Press Machine learning is an extremely important direction in the field of artificial intelligence research.?In the context of the current era of big data. capturing data and extracting valuable information or patterns from it has made this research field that used to be exclusive to analysts and mathematicians more and more attention.?Through carefully arranged examples. this book cuts.