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Bayesian Optimization Theory Practice by Liu Peng (17 results)
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Bayesian Optimization: Theory and Practice Using Python
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Bayesian Optimization : Theory and Practice Using Python
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Bayesian Optimization: Theory and Practice Using Python
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Add to basketPaperback or Softback. Condition: New. Bayesian Optimization: Theory and Practice Using Python 0.98. Book.
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Bayesian Optimization : Theory and Practice Using Python
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International EditionBayesian Optimization: Theory and Practice Using Python
ISBN 10: 1484299035 ISBN 13: 9781484299036
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Add to basketCondition: 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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Bayesian Optimization: Theory and Practice Using Python
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Paperback. Condition: Brand New. 249 pages. 10.00x7.01x0.53 inches. In Stock.
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Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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International Edition
Bayesian Optimization: Theory and Practice Using Python
ISBN 10: 1484299035 ISBN 13: 9781484299036
Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Bayesian Optimization: Theory and Practice Using Python
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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£ 54.21
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global optimization.The book begins by introducing different Bayesian Optimization (BO) techniques, covering both commonly used tools and advanced topics. It follows a 'develop from scratch' method using Python, and gradually builds up to more advanced libraries such as BoTorch, an open-source project introduced by Facebook recently. Along the way, you'll see practical implementations of this important discipline along with thorough coverage and straightforward explanations of essential theories. This book intends to bridge the gap between researchers and practitioners, providing both with a comprehensive, easy-to-digest, and useful reference guide. After completingthis book, you will have a firm grasp of Bayesian optimization techniques, which you'll be able to put into practice in your own machine learning models.What You Will LearnApply Bayesian Optimization to build better machine learning modelsUnderstand and research existing and new Bayesian Optimization techniquesLeverage high-performance libraries such as BoTorch, which offer you the ability to dig into and edit the inner workingDig into the inner workings of common optimization algorithms used to guide the search process in Bayesian optimizationWho This Book Is ForBeginner to intermediate level professionals in machine learning, analytics or other roles relevant in data science.
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£ 87.22
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