Transfer Learning
Description:
Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.
Best prices to buy, sell, or rent ISBN 9781107016903
Frequently Asked Questions about Transfer Learning
The price for the book starts from $59.69 on Amazon and is available from 13 sellers at the moment.
If you’re interested in selling back the Transfer Learning book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the Transfer Learning book, the best buyback offer comes from and is $ for the book in good condition.
The Transfer Learning book is in very low demand now as the rank for the book is 2,975,147 at the moment. A rank of 1,000,000 means the last copy sold approximately a month ago.
The highest price to sell back the Transfer Learning book within the last three months was on November 14 and it was $2.62.