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|
Title |
Author / Artist |
Prod Type |
ISBN/ISBN-13
or UPC |
Pub
Date |
Price |
|  | A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists | Montanari, Andrea | Paperback | 1638282129 /
9781638282129 | 01/2024 | $94.05 |
|  | A Survey of Statistical Network Models (Foundations and Trends(r) in Machine Learning) | Goldenberg, Anna | Paperback | 1601983204 /
9781601983206 | 01/2010 | $80.75 |
|  | A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning (Foundations and Trends(r) in Machine Learning) | Geramifard, Alborz | Paperback | 1601987609 /
9781601987600 | 12/2013 | $66.50 |
|  | A Tutorial on Thompson Sampling (Foundations and Trends(r) in Machine Learning) | Russo, Daniel J. | Paperback | 1680834703 /
9781680834703 | 07/2018 | $76.00 |
|  | A Unifying Tutorial on Approximate Message Passing | Feng, Oliver Y. | Paperback | 1638280045 /
9781638280040 | 05/2022 | $94.05 |
|  | Adaptation, Learning, and Optimization Over Networks (Foundations and Trends(r) in Machine Learning) | Sayed, Ali H. | Paperback | 1601988508 /
9781601988508 | 07/2014 | $94.05 |
|  | Advances and Open Problems in Federated Learning | Kairouz, Peter | Paperback | 1680837885 /
9781680837889 | 06/2021 | $94.05 |
|  | An Introduction to Conditional Random Fields (Foundations and Trends(r) in Machine Learning) | Sutton, Charles | Paperback | 160198572X /
9781601985729 | 08/2012 | $80.75 |
|  | An Introduction to Deep Reinforcement Learning (Foundations and Trends(r) in Machine Learning) | François-Lavet, Vincent | Paperback | 1680835386 /
9781680835380 | 03/2019 | $94.05 |
|  | An Introduction to Matrix Concentration Inequalities (Foundations and Trends in Machine Learning) | Tropp, Joel a. | Paperback | 1601988389 /
9781601988386 | 05/2015 | $94.05 |
|  | An Introduction to Variational Autoencoders | Kingma, Diederik P. | Paperback | 1680836226 /
9781680836226 | 11/2019 | $71.25 |
|  | An Introduction to Wishart Matrix Moments (Foundations and Trends(r) in Machine Learning) | Bishop, Adrian N. | Paperback | 1680835068 /
9781680835069 | 02/2019 | $85.50 |
|  | Automated Deep Learning: Neural Architecture Search Is Not the End | Dong, Xuanyi | Paperback | 1638283184 /
9781638283188 | 02/2024 | $94.05 |
|  | AutonoML: Towards an Integrated Framework for Autonomous Machine Learning | Kedziora, David Jacob | Paperback | 1638283168 /
9781638283164 | 02/2024 | $94.05 |
|  | Backward Simulation Methods for Monte Carlo Statistical Inference (Foundations and Trends(r) in Machine Learning) | Lindsten, Fredrik | Paperback | 160198698X /
9781601986986 | 08/2013 | $94.05 |
|  | Bayesian Reinforcement Learning: A Survey (Foundations and Trends(r) in Machine Learning) | Ghavamzadeh, Mohammad | Paperback | 1680830880 /
9781680830880 | 11/2015 | $90.25 |
|  | Causal Fairness Analysis: A Causal Toolkit for Fair Machine Learning | Plečko, Drago | Paperback | 1638283303 /
9781638283300 | 01/2024 | $94.05 |
|  | Clustering Stability: An Overview (Foundations and Trends(r) in Machine Learning) | Von Luxburg, Ulrike | Paperback | 1601983441 /
9781601983442 | 03/2010 | $47.50 |
|  | Computational Optimal Transport: With Applications to Data Science (Foundations and Trends(r) in Machine Learning) | Peyré, Gabriel | Paperback | 1680835505 /
9781680835502 | 05/2019 | $94.05 |
|  | Convex Optimization: Algorithms and Complexity (Foundations and Trends(r) in Machine Learning) | Bubeck, Sébastien | Paperback | 1601988605 /
9781601988607 | 10/2015 | $90.25 |
|  | Data Analytics on Graphs | Stankovic, Ljubisa | Hardcover | 1680839829 /
9781680839821 | 02/2021 | $137.75 |
|  | Determinantal Point Processes for Machine Learning (Foundations and Trends(r) in Machine Learning) | Kulesza, Alex | Paperback | 1601986289 /
9781601986283 | 11/2012 | $94.05 |
|  | Dimension Reduction: A Guided Tour (Foundations and Trends(r) in Machine Learning) | Burges, Christopher J. C. | Paperback | 1601983786 /
9781601983787 | 07/2010 | $71.25 |
|  | Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers (Foundations and Trends(r) in Machine Learning) | Boyd, Stephen | Paperback | 160198460X /
9781601984609 | 05/2011 | $80.75 |
|  | Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems | Tibshirani, Ryan J. | Paperback | 1638280363 /
9781638280361 | 07/2022 | $94.05 |
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