Practical Deep Learning at Scale with MLflow : Bridge the Gap Between Offline…
USD 12.00 USD
Specifications
| ISBN | 9781803241333 |
| Publication Year | 2022 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Subject Area | Computers, Science |
| Author | Matei Zaharia, Yong Liu |
| Number Of Pages | 288 Pages |
"Practical Deep Learning at Scale with MLflow: Bridge the Gap Between Offline Experimentation and Online Production" is a comprehensive textbook authored by Matei Zaharia and Yong Liu, focusing on the application of deep learning techniques in a scalable and practical setting. Published by Packt Publishing in 2022, this trade paperback publication spans 288 pages and covers a range of topics within the subject areas of computers, science, natural language processing, data processing, and computer engineering. The book is designed for students and professionals looking to understand and implement deep learning models in real-world scenarios using MLflow.
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