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Bayesian Optimization in Action Hardcover Quan Nguyen
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Item specifics
- Condition
- Like New
- Seller notes
- “Used book that is in almost brand-new condition. 100% Money-Back Guarantee.”
- Book Title
- Bayesian Optimization in Action Hardcover Quan Nguyen
- ISBN
- 9781633439078
About this product
Product Identifiers
Publisher
Manning Publications Co. LLC
ISBN-10
1633439070
ISBN-13
9781633439078
eBay Product ID (ePID)
19057259597
Product Key Features
Number of Pages
424 Pages
Publication Name
Bayesian Optimization in Action
Language
English
Publication Year
2023
Subject
Data Modeling & Design, Neural Networks
Type
Textbook
Subject Area
Computers
Series
In Action Ser.
Format
Hardcover
Dimensions
Item Height
0.7 in
Item Weight
27.3 Oz
Item Length
9.3 in
Item Width
7.3 in
Additional Product Features
LCCN
2024-404790
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.542
Synopsis
Apply advanced techniques for optimising machine learning processes For machine learning practitioners confident in maths and statistics. Bayesian Optimization in Action shows you how to optimise hyperparameter tuning, A/B testing, and other aspects of the machine learning process, by applying cutting-edge Bayesian techniques. Using clear language, Bayesian Optimization helps pinpoint the best configuration for your machine-learning models with speed and accuracy. With a range of illustrations, and concrete examples, this book proves that Bayesian Optimisation doesn't have to be difficult! Key features include: Train Gaussian processes on both sparse and large data sets Combine Gaussian processes with deep neural networks to make them flexible and expressive Find the most successful strategies for hyperparameter tuning Navigate a search space and identify high-performing regions Apply Bayesian Optimisation to practical use cases such as cost-constrained, multi-objective, and preference optimisation Use PyTorch, GPyTorch, and BoTorch to implement Bayesian optimisation You will get in-depth insights into how Bayesian optimisation works and learn how to implement it with cutting-edge Python libraries. The book's easy-to-reuse code samples will let you hit the ground running by plugging them straight into your own projects! About the technology Experimenting in science and engineering can be costly and time-consuming, especially without a reliable way to narrow down your choices. Bayesian Optimisation helps you identify optimal configurations to pursue in a search space. It uses a Gaussian process and machine learning techniques to model an objective function and quantify the uncertainty of predictions. Whether you're tuning machine learning models, recommending products to customers, or engaging in research, Bayesian Optimisation can help you make better decisions faster., Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy. Put its advanced techniques into practice with this hands-on guide. In Bayesian Optimization in Action you will learn how to: Train Gaussian processes on both sparse and large data sets Combine Gaussian processes with deep neural networks to make them flexible and expressive Find the most successful strategies for hyperparameter tuning Navigate a search space and identify high-performing regions Apply Bayesian optimization to cost-constrained, multi-objective, and preference optimization Implement Bayesian optimization with PyTorch, GPyTorch, and BoTorch Bayesian Optimization in Action shows you how to optimize hyperparameter tuning, A/B testing, and other aspects of the machine learning process by applying cutting-edge Bayesian techniques. Using clear language, illustrations, and concrete examples, this book proves that Bayesian optimization doesn't have to be difficult! You'll get in-depth insights into how Bayesian optimization works and learn how to implement it with cutting-edge Python libraries. The book's easy-to-reuse code samples let you hit the ground running by plugging them straight into your own projects. Forewords by Luis Serrano and David Sweet . Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology In machine learning, optimization is about achieving the best predictions--shortest delivery routes, perfect price points, most accurate recommendations--in the fewest number of steps. Bayesian optimization uses the mathematics of probability to fine-tune ML functions, algorithms, and hyperparameters efficiently when traditional methods are too slow or expensive. About the book Bayesian Optimization in Action teaches you how to create efficient machine learning processes using a Bayesian approach. In it, you'll explore practical techniques for training large datasets, hyperparameter tuning, and navigating complex search spaces. This interesting book includes engaging illustrations and fun examples like perfecting coffee sweetness, predicting weather, and even debunking psychic claims. You'll learn how to navigate multi-objective scenarios, account for decision costs, and tackle pairwise comparisons. What's inside Gaussian processes for sparse and large datasets Strategies for hyperparameter tuning Identify high-performing regions Examples in PyTorch, GPyTorch, and BoTorch About the reader For machine learning practitioners who are confident in math and statistics. About the author Quan Nguyen is a research assistant at Washington University in St. Louis. He writes for the Python Software Foundation and has authored several books on Python programming. Table of Contents 1 Introduction to Bayesian optimization PART 1 MODELING WITH GAUSSIAN PROCESSES 2 Gaussian processes as distributions over functions 3 Customizing a Gaussian process with the mean and covariance functions PART 2 MAKING DECISIONS WITH BAYESIAN OPTIMIZATION 4 Refining the best result with improvement-based policies 5 Exploring the search space with bandit-style policies 6 Leveraging information theory with entropy-based policies PART 3 EXTENDING BAYESIAN OPTIMIZATION TO SPECIALIZED SETTINGS 7 Maximizing throughput with batch optimization 8 Satisfying extra constraints with constrained optimization 9 Balancing utility and cost with multifidelity optimization 10 Learning from pairwise comparisons with preference optimization 11 Optimizing multiple objectives at the same time PART 4 SPECIAL GAUSSIAN PROCESS MODELS 12 Scaling Gaussian processes to large datasets 13 Combining Gaussian processes with neural networks, Bayesian Optimization in Action teaches you how to build Bayesian Optimisation systems from the ground up. This book transforms state-of-the-art research into usable techniques you can easily put into practice. With a range of illustrations, and concrete examples, this book proves that Bayesian Optimisation doesn't have to be difficult!
LC Classification Number
QA279.5
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- c***m (426)- Feedback left by buyer.Past monthVerified purchaseAAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii , Received 07/27; Paperback book in Great Condition as Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!
- e***g (58)- Feedback left by buyer.Past 6 monthsVerified purchaseExcellent prices on used books in great condition. Shipped out quickly. Product condition is accurate to rating in listing. Thanks! NOTE: For this particular book (I ordered several), it came in a soft cover rather than hard cover as the listing stated. I contacted the seller and they responded promptly. They agreed that it was a listing error and provided me with a full refund for this book (without return required) proving they are both a responsible and trustworthy seller.
- 7***j (784)- Feedback left by buyer.Past 6 monthsVerified purchaseI recently purchased an item from this eBay seller, and I couldn't be happier with the experience. From the prompt communication to the fast shipping, everything was handled with utmost professionalism. The item arrived exactly as described and was well-packaged to ensure its safety during transit. The seller was courteous and responsive, making the entire transaction smooth and hassle-free. I highly recommend this seller to anyone looking for quality products and excellent service.Nauvoo : Mormon City on the Mississippi River Hardcover Raymond B (#316178470305)
Seller Feedback (4,291,238)
- c***m (426)- Feedback left by buyer.Past monthVerified purchaseAAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii , Received 07/27; Paperback book in Great Condition as Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!
- e***g (58)- Feedback left by buyer.Past 6 monthsVerified purchaseExcellent prices on used books in great condition. Shipped out quickly. Product condition is accurate to rating in listing. Thanks! NOTE: For this particular book (I ordered several), it came in a soft cover rather than hard cover as the listing stated. I contacted the seller and they responded promptly. They agreed that it was a listing error and provided me with a full refund for this book (without return required) proving they are both a responsible and trustworthy seller.
- 7***j (784)- Feedback left by buyer.Past 6 monthsVerified purchaseI recently purchased an item from this eBay seller, and I couldn't be happier with the experience. From the prompt communication to the fast shipping, everything was handled with utmost professionalism. The item arrived exactly as described and was well-packaged to ensure its safety during transit. The seller was courteous and responsive, making the entire transaction smooth and hassle-free. I highly recommend this seller to anyone looking for quality products and excellent service.Nauvoo : Mormon City on the Mississippi River Hardcover Raymond B (#316178470305)