Andrew Sabot
Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix
Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix
We can order this item for you. Delivery usually takes about 4 to 6 weeks.
This item is not held in our immediate stock. We will order it for you after checkout.
Estimated delivery: About 4 to 6 weeks
YOU SAVE £6.27
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £3.89. Subject to product weight & dimension
Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.
Couldn't load pickup availability
- More about Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix
Format: Hardback
Length: 110 pages
Publication date: 02 July 2026
Publisher: Springer Nature Switzerland AG
This book provides a focused, research-forward guide to making large AI models efficient in practice and also presents an array of novel techniques to reduce memory footprint, accelerate computation, and improve overall hardware utilization.
Dimension: 240 x 168 (mm)
ISBN-13: 9783032230997
UK and International shipping information
UK and International shipping information
We deliver throughout the United Kingdom and to 128 countries and territories worldwide, including the United States, Australia, Canada, Germany, Spain and France.
