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Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Genetic Algorithms in Search, Optimization, and Machine Learning
Published by Addison-Wesley Professional, 1989
ISBN 10: 0201157675 ISBN 13: 9780201157673
Language: English
Seller: Wonder Book, Frederick, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Good condition. Acceptable dust jacket. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
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Linear Algebra and Optimization for Machine Learning: A Textbook
Seller: Jadewalky Book Company, HANOVER PARK, IL, U.S.A.
Seller rating 1 out of 5 stars
Condition: Used - Very Good. This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution manual for the exercises at the end of each chapter is available to teaching instructors. This textbook targets graduate level students and professors in computer science, mathematics and data science. Advanced undergraduate students can also use this textbook. The chapters for this textbook are organized as follows:1. Linear algebra and its applications: The chapters focus on the basics of linear algebra together with their common applications to singular value decomposition, matrix factorization, similarity matrices (kernel methods), and graph analysis. Numerous machine learning applications have been used as examples, such as spectral clustering, kernel-based classification, and outlier detection. The tight integration of linear algebra methods with examples from machine learning differentiates this book from generic volumes on linear algebra. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these concepts.2. Optimization and its applications: Much of machine learning is posed as an optimization problem in which we try to maximize the accuracy of regression and classification models. The "parent problem" of optimization-centric machine learning is least-squares regression. Interestingly, this problem arises in both linear algebra and optimization, and is one of the key connecting problems of the two fields. Least-squares regression is also the starting point for support vector machines, logistic regression, and recommender systems. Furthermore, the methods for dimensionality reduction and matrix factorization also require the development of optimization methods. A general view of optimization in computational graphs is discussed together with its applications to back propagation in neural networks.A frequent challenge faced by beginners in machine learning is the extensive background required in linear algebra and optimization. One problem is that the existing linear algebra and optimization courses are not specific to machine learning; 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.
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Condition: Good. Ships same day or next. Damage to one or two corners from handling. Unread copy. Text is like-new. Expedited shipping available at checkout for domestic orders.
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Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
Published by Packt Publishing (edition ), 2021
ISBN 10: 1800567685 ISBN 13: 9781800567689
Language: English
Paperback. Condition: Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Condition: very_good. This book is in Very Good condition. The cover and pages have minor shelf wear. Binding is tight and pages are intact.
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US$ 73.33
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International EditionCondition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Paperback. Condition: new. Paperback. Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Techniques like gradient descent, stochastic gradient descent (SGD), and advanced methods such as Adam and RMSprop optimize model parameters to minimize error and enhance accuracy. Theoretical understanding encompasses concepts like convexity, convergence criteria, and adaptive learning rates, essential for algorithm selection based on dataset characteristics. In practice, implementing these algorithms involves tuning hyperparameters and assessing trade-offs between computational efficiency and model effectiveness across diverse datasets. Recent innovations, including meta-heuristic algorithms like genetic algorithms, further expand optimization capabilities for complex, non-linear problems. Mastering optimization algorithms empowers practitioners to navigate challenges in model training and deployment effectively, ensuring robust performance in real-world applications. This comprehensive understanding supports innovation in machine learning, driving advancements in various fields from healthcare to finance and beyond. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Linear Algebra and Optimization for Machine Learning: A Textbook
Published by Springer (edition 1st ed. 2020), 2021
ISBN 10: 3030403467 ISBN 13: 9783030403461
Language: English
Paperback. Condition: Very Good. 1st ed. 2020. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Add to basketSoft cover. Condition: New. ISBN:9788177588293,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
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Handbook of Machine Learning - Volume 2: Optimization and Decision Making
Published by World Scientific Publishing Comp, 2019
ISBN 10: 9811205663 ISBN 13: 9789811205668
Language: English
hardcover. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
Published by Mit Pr (edition First Edition), 2001
ISBN 10: 0262194759 ISBN 13: 9780262194754
Language: English
First Edition
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optimization for Machine learning
Published by Prentice Hall of India, 2013
ISBN 10: 8120347544 ISBN 13: 9788120347540
Language: English
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
US$ 30.96
Convert currencyUS$ 7.52 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Quantum Machine Learning: Unlocking the Power of Quantum Computing for AI Quantum Machine Learning, Quantum Neural Networks, Quantum Optimization, Quantum Algorithms for AI, Quantum-enhanced Feature
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 30.48
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems.
Published by Cham, Springer International Publishing : Imprint: Springer., 2021
ISBN 10: 3030665143 ISBN 13: 9783030665142
Language: English
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
US$ 15.17
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Add to basketX, 388 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Optimization and Its Applications, 170. Sprache: Englisch.
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Building DeepSeek AI Models: Architecture, Implementation, and Optimization (Advanced Topics in Machine Learning)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Algorithmic Advances in Riemannian Geometry and Applications. For Machine Learning, Computer Vision, Statistics, and Optimization.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
US$ 18.68
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Add to basketxiv, 208 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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International Edition
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient
ISBN 10: 1484283996 ISBN 13: 9781484283998
Condition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)
Seller: Riverby Books (DC Inventory), Fredericksburg, VA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good. Hardcover without dust jacket. Bound in glossy pictorial paper over boards with red, black, and white lettering on the covers and spine. Binding is tight and secure. Corners are square. Previous owners name written in black ink on the FFEP. Pages are otherwise crisp, clean, and bright. Springer Science + Business Media. No date on title page. Copyright page dated 2004. 300 pages. A very good copy. We ship everyday from a real neighborhood bookstore. This description is written by an actual person, who is holding the book in front of them to make sure it?s properly described. Please contact us with questions or if you would like to see photographs.
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Optimization for Machine Learning
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Seller rating 5 out of 5 stars
US$ 44.63
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Add to basketCondition: Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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US$ 52.51
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Add to basketCondition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
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Adaptation, Learning, and Optimization Over Networks (Foundations and Trends(r) in Machine Learning)
Seller: Books From California, Simi Valley, CA, U.S.A.
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Paperback. Condition: Very Good. Light shelfwear. Pages clean and intact.
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