Marketplace.
Ensemble Methods For Machine Learning
£44.23
£44.23/each
Sold and sent by Speedyhen
Delivered by post or courier
Delivery
- FREE standard courier delivery by Thu 21 Aug
Returns
Returns available within 30 days.
Ensemble Methods For Machine Learning
£44.23
£44.23/each
Description
Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real world applications. Learning from hands-on case studies, you''ll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. About the Technology Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results.
Sold by Speedyhen (Speedy Hen LTD)
| Author | Gautam Kunapuli |
|---|---|
| Format | Paperback |
| ISBN-13 | 9781617297137 |
| Item Height | 2.8 |
| Item Length | 18.9 |
| Item Width | 23.4 |
| Publisher | Pearson Professional Computing |
Delivery
- FREE standard courier delivery by Thu 21 Aug
Returns
Not happy with a Marketplace item? You can request a return and refund online up to 30 days after the delivery date. You'll need to return the item to the Marketplace seller.Our returns policy
About Marketplace
We're giving you more choice than ever before. Shop more products from more brands across homewares, beauty, electricals and much more.
Sold and sent by trusted sellers right to your door.
No reviews yet
Help other customers like you
Reviews are submitted by our customers directly through our website. We also share reviews from other retailers' websites to help you make an informed decision.
Write a review