Apply advanced techniques for optimizing machine learning processes. Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy. In Bayesian Optimization in Action you will learn how to Train Gaussian processes on both sparse and large
Bayesian Optimization in Action MEAP V12
β Scribed by Quan Nguyen
- Publisher
- Manning Publications
- Year
- 2023
- Tongue
- English
- Leaves
- 593
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Apply advanced techniques for optimizing machine learning processes. Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy.
Bayesian Optimization in Action teaches you how to build Bayesian optimization systems from the ground up. This book transforms state-of-the-art research into usable techniques that you can easily put into practice, all fully illustrated with useful code samples.
Hone your understanding of Bayesian optimization through engaging examplesβfrom forecasting the weather, to finding the optimal amount of sugar for coffee, and even deciding if someone is psychic! Along the way, youβll explore scenarios for when there are multiple objectives, when each decision has its own cost, and when feedback is in the form of pairwise comparisons. With this collection of techniques, youβll be ready to find the optimal solution for everything from transport and logistics to cancer treatments.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
β¦ Table of Contents
MEAP_VERSION_12
2 Welcome
3 1_Introduction_to_Bayesian_optimization
4 2_Gaussian_processes_as_distributions_over_functions
5 3_Customizing_a_Gaussian_process_with_the_mean_and_covariance_functions
6 4_Refining_the_best_result_with_improvement-based_policies
7 5_Exploring_the_search_space_with_bandit-style_policies
8 6_Leveraging_information_theory_with_entropy-based_policies
9 7_Maximizing_throughput_with_batch_optimization
10 8_Satisfying_extra_constraints_with_constrained_optimization
11 9_Balancing_utility_and_cost_with_multi-fidelity_optimization
12 10_Learning_from_pairwise_comparisons_with_preference_optimization
13 11_Optimizing_multiple_objectives_at_the_same_time
14 12_Scaling_Gaussian_processes_to_large_datasets
15 13_Combining_Gaussian_processes_with_neural_networks
16 Appendix._Solutions_to_the_exercises
π SIMILAR VOLUMES
Apply advanced techniques for optimizing machine learning processes. Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy. In Bayesian Optimization in Action you will learn how to Train Gaussian processes on both sparse and large
Apply advanced techniques for optimizing Machine Learning processes. Bayesian optimization helps pinpoint the best configuration for your Machine Learning models with speed and accuracy. Bayesian Optimization in Action teaches you how to build Bayesian optimization systems from the ground up. Thi
Apply advanced techniques for optimizing machine learning processes. Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy. In Bayesian Optimization in Action you will learn how to: β’ Train Gaussian processes on both sparse and large
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 expressiv
<span>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.</span><span><br><br>In </span><span>Bayesian Optimization in Action</span><span> you will learn how to:<br>