Introduction to Statistical Machine Learning

Note moyenne 3
( 3 avis fournis par Goodreads )
 
9780128021217: Introduction to Statistical Machine Learning

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials.

Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks.

  • Provides the necessary background material to understand machine learning such as statistics, probability, linear algebra, and calculus.
  • Complete coverage of the generative approach to statistical pattern recognition and the discriminative approach to statistical machine learning.
  • Includes MATLAB/Octave programs so that readers can test the algorithms numerically and acquire both mathematical and practical skills in a wide range of data analysis tasks
  • Discusses a wide range of applications in machine learning and statistics and provides examples drawn from image processing, speech processing, natural language processing, robot control, as well as biology, medicine, astronomy, physics, and materials.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

About the Author :

Masashi Sugiyama received the degrees of Bachelor of Engineering, Master of Engineering, and Doctor of Engineering in Computer Science from Tokyo Institute of Technology, Japan in 1997, 1999, and 2001, respectively. In 2001, he was appointed Assistant Professor in the same institute, and he was promoted to Associate Professor in 2003. He moved to the University of Tokyo as Professor in 2014. He received an Alexander von Humboldt Foundation Research Fellowship and researched at Fraunhofer Institute, Berlin, Germany, from 2003 to 2004. In 2006, he received a European Commission Program Erasmus Mundus Scholarship and researched at the University of Edinburgh, Edinburgh, UK. He received the Faculty Award from IBM in 2007 for his contribution to machine learning under non-stationarity, the Nagao Special Researcher Award from the Information Processing Society of Japan in 2011 and the Young Scientists' Prize from the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology Japan for his contribution to the density-ratio paradigm of machine learning. His research interests include theories and algorithms of machine learning and data mining, and a wide range of applications such as signal processing, image processing, and robot control.

Review :

"The probabilistic and statistical background is well presented, providing the reader with a complete coverage of the generative approach to statistical pattern recognition and the discriminative approach to statistical machine learning." --Zentralblatt MATH, Introduction to Statistical Machine Learning

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Meilleurs résultats de recherche sur AbeBooks

1.

Masashi Sugiyama
ISBN 10 : 0128021217 ISBN 13 : 9780128021217
Neuf(s) Quantité : 1
Vendeur
Bookshub
(Karol Bagh, Inde)
Evaluation vendeur
[?]

Description du livre État : New. New. US edition. Perfect condition. Customer satisfaction our priority. N° de réf. du libraire ABE-FEB-18543

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 83,94
Autre devise

Ajouter au panier

Frais de port : Gratuit
De Inde vers Etats-Unis
Destinations, frais et délais

2.

Masashi Sugiyama
ISBN 10 : 0128021217 ISBN 13 : 9780128021217
Neuf(s) Quantité : 1
Vendeur
EBOOKSTORE2010
(New Delhi, ND, Inde)
Evaluation vendeur
[?]

Description du livre État : Brand New. New. US edition. Customer Satisfaction guaranteed!!. N° de réf. du libraire SHUB18543

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 83,98
Autre devise

Ajouter au panier

Frais de port : Gratuit
De Inde vers Etats-Unis
Destinations, frais et délais

3.

Masashi Sugiyama
Edité par ELSEVIER SCIENCE TECHNOLOGY, United States (2015)
ISBN 10 : 0128021217 ISBN 13 : 9780128021217
Neuf(s) Paperback Quantité : 10
Vendeur
Book Depository hard to find
(London, Royaume-Uni)
Evaluation vendeur
[?]

Description du livre ELSEVIER SCIENCE TECHNOLOGY, United States, 2015. Paperback. État : New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks. N° de réf. du libraire EOD9780128021217

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 86,11
Autre devise

Ajouter au panier

Frais de port : Gratuit
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

4.

Masashi Sugiyama
ISBN 10 : 0128021217 ISBN 13 : 9780128021217
Neuf(s) Quantité : 1
Vendeur
Basi6 International
(Irving, TX, Etats-Unis)
Evaluation vendeur
[?]

Description du livre État : Brand New. New, US edition. Excellent Customer Service. N° de réf. du libraire ABEUSA-18543

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 87,36
Autre devise

Ajouter au panier

Frais de port : Gratuit
Vers Etats-Unis
Destinations, frais et délais

5.

Masashi Sugiyama
Edité par ELSEVIER SCIENCE TECHNOLOGY, United States (2015)
ISBN 10 : 0128021217 ISBN 13 : 9780128021217
Neuf(s) Paperback Quantité : 1
Vendeur
The Book Depository
(London, Royaume-Uni)
Evaluation vendeur
[?]

Description du livre ELSEVIER SCIENCE TECHNOLOGY, United States, 2015. Paperback. État : New. Language: English . Brand New Book. Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice.The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks. N° de réf. du libraire AAZ9780128021217

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 87,44
Autre devise

Ajouter au panier

Frais de port : Gratuit
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

6.

Masashi Sugiyama
Edité par ELSEVIER SCIENCE TECHNOLOGY, United States (2015)
ISBN 10 : 0128021217 ISBN 13 : 9780128021217
Neuf(s) Paperback Quantité : 1
Vendeur
The Book Depository US
(London, Royaume-Uni)
Evaluation vendeur
[?]

Description du livre ELSEVIER SCIENCE TECHNOLOGY, United States, 2015. Paperback. État : New. Language: English . Brand New Book. Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks. N° de réf. du libraire AAZ9780128021217

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 87,83
Autre devise

Ajouter au panier

Frais de port : Gratuit
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

7.

Masashi Sugiyama
ISBN 10 : 0128021217 ISBN 13 : 9780128021217
Neuf(s) Quantité : 1
Vendeur
Rem Distributors
(NORWALK, CT, Etats-Unis)
Evaluation vendeur
[?]

Description du livre État : New. Etat de la jaquette : New. Shipped promptly and delivered within 3 to 5 working days. For PO BOX, APO, FPO and Puerto Rico addresses delivery done in 20 to 25 working days. Serving customers since 2006. Thousand of satisfied customers!. N° de réf. du libraire REG_9780128021217_Elsev1012_75

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 86,25
Autre devise

Ajouter au panier

Frais de port : EUR 3,38
Vers Etats-Unis
Destinations, frais et délais

8.

Sugiyama, Masashi
ISBN 10 : 0128021217 ISBN 13 : 9780128021217
Neuf(s) Quantité : 1
Vendeur
Bookshub
(Karol Bagh, Inde)
Evaluation vendeur
[?]

Description du livre État : New. New. US edition. Perfect condition. Customer satisfaction our priority. N° de réf. du libraire ABE-FEB-428

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 91,05
Autre devise

Ajouter au panier

Frais de port : Gratuit
De Inde vers Etats-Unis
Destinations, frais et délais

9.

Sugiyama, Masashi
ISBN 10 : 0128021217 ISBN 13 : 9780128021217
Neuf(s) Quantité : 1
Vendeur
EBOOKSTORE2010
(New Delhi, ND, Inde)
Evaluation vendeur
[?]

Description du livre État : Brand New. New. US edition. Customer Satisfaction guaranteed!!. N° de réf. du libraire SHUB428

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 91,09
Autre devise

Ajouter au panier

Frais de port : Gratuit
De Inde vers Etats-Unis
Destinations, frais et délais

10.

Masashi Sugiyama
Edité par Elsevier Science 2015-09-28, Amsterdam (2015)
ISBN 10 : 0128021217 ISBN 13 : 9780128021217
Neuf(s) paperback Quantité : > 20
Vendeur
Blackwell's
(Oxford, OX, Royaume-Uni)
Evaluation vendeur
[?]

Description du livre Elsevier Science 2015-09-28, Amsterdam, 2015. paperback. État : New. N° de réf. du libraire 9780128021217

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 88,72
Autre devise

Ajouter au panier

Frais de port : EUR 3,36
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

autres exemplaires de ce livre sont disponibles

Afficher tous les résultats pour ce livre