Linear Algebra and Optimization for Machine Learning - Aggarwal, Charu C.
- Format: Broché Voir le descriptif
Vous en avez un à vendre ?
Vendez-le-vôtre92,42 €
Produit Neuf
Ou 23,11 € /mois
- Livraison à 0,01 €
- Livré entre le 18 et le 31 juillet
Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9783030403461_dbm
- Payez directement sur Rakuten (CB, PayPal, 4xCB...)
- Récupérez le produit directement chez le vendeur
- Rakuten vous rembourse en cas de problème
Gratuit et sans engagement
Félicitations !
Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !
TROUVER UN MAGASIN
Retour
Avis sur Linear Algebra And Optimization For Machine Learning de Aggarwal, Charu C. Format Broché - Livre Informatique
0 avis sur Linear Algebra And Optimization For Machine Learning de Aggarwal, Charu C. Format Broché - Livre Informatique
Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.
-
500+ Ukrainian Verbs
Neuf dès 66,50 €
-
Liberalism And The Limits Of Justice
Neuf dès 61,74 €
-
Noco Boost Gb40 :
Neuf dès 54,99 €
-
Greek Gods Abroad
Neuf dès 50,25 €
-
St - Tropez Soleil
1 avis
Neuf dès 105,00 €
Occasion dès 72,53 €
-
Picasso And Portraiture
Occasion dès 64,18 €
-
The Ghost In The Shell Book
Neuf dès 71,80 €
-
Microeconomics, Global Edition
Neuf dès 151,23 €
Occasion dès 75,90 €
-
Collecting Antique Meerschaum Pipes
Neuf dès 55,84 €
-
Michael O'neill. On Yoga: The Architecture Of Peace
Occasion dès 49,00 €
-
Anglais Débutants À B2 - Pack Audio (3 Cd Audio)
1 avis
Neuf dès 65,90 €
Occasion dès 52,72 €
-
Hugo Pratt. Geografie Immaginarie-Imaginary Geographies-Géographies Imaginaires
Neuf dès 51,98 €
-
A History Of Modern Europe
Neuf dès 66,61 €
-
Perfectionnement Allemand (5 Cd Audio)
1 avis
Occasion dès 47,90 €
-
Ghost In The Shell
Neuf dès 55,04 €
-
The French Army And The First World War
Neuf dès 51,69 €
-
Soft Power And Great-Power Competition
Neuf dès 72,01 €
-
Girls, Some Boys, And Other Cookies
Occasion dès 127,99 €
-
La Sante Interdite
1 avis
Occasion dès 71,00 €
-
Motel Fetish
1 avis
Occasion dès 59,00 €
Produits similaires
Présentation Linear Algebra And Optimization For Machine Learning de Aggarwal, Charu C. Format Broché
- Livre Informatique
Résumé :
Preface.- 1 Linear Algebra and Optimization: An Introduction.- 2 Linear Transformations and Linear Systems.- 3 Eigenvectors and Diagonalizable Matrices.- 4 Optimization Basics: A Machine Learning View.- 5 Advanced Optimization Solutions.- 6 Constrained Optimization and Duality.- 7 Singular Value Decomposition.- 8 Matrix Factorization.- 9 The Linear Algebra of Similarity.- 10 The Linear Algebra of Graphs.- 11 Optimization in Computational Graphs.- Index....
Biographie:
therefore, one would typically have to complete more course material than is necessary to pick up machine learning. Furthermore, certain types of ideas and tricks from optimization and linear algebra recur more frequently in machine learning than other application-centric settings. Therefore, there is significant value in developing a view of linear algebra and optimization that is better suited to the specific perspective of machine learning.
Sommaire:
Charu C. Aggarwal is a Distinguished Research Staff Member (DRSM) at the IBM T. J. Watson Research Center in Yorktown Heights, New York. He completed his undergraduate degree in Computer Science from the Indian Institute of Technology at Kanpur in 1993 and his Ph.D. in Operations Research from the Massachusetts Institute of Technology in 1996. He has published more than 400 papers in refereed conferences and journals and has applied for or been granted more than 80 patents. He is author or editor of 19 books, including textbooks on data mining, neural networks, machine learning (for text), recommender systems, and outlier analysis. Because of the commercial value of his patents, he has thrice been designated a Master Inventor at IBM. He has received several internal and external awards, including the EDBT Test-of-Time Award (2014), the IEEE ICDM Research Contributions Award (2015), and the ACM SIGKDD Innovation Award (2019). He has served as editor-in-chief of the ACM SIGKDD Explorations, and is currently serving as an editor-in-chief of the ACM Transactions on Knowledge Discovery from Data. He is a fellow of the SIAM, ACM, and the IEEE, for contributions to knowledge discovery and data mining algorithms. ...
Détails de conformité du produit
Personne responsable dans l'UE