Machine learning operations (mlops): Overview, definition, and architecture
D Kreuzberger, N Kühl, S Hirschl - IEEE access, 2023 - ieeexplore.ieee.org
The final goal of all industrial machine learning (ML) projects is to develop ML products and
rapidly bring them into production. However, it is highly challenging to automate and …
rapidly bring them into production. However, it is highly challenging to automate and …
Big data analytics for intelligent manufacturing systems: A review
With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …
amount of data from manufacturing systems has been increasing rapidly. With massive …
[書籍][B] Pretrained transformers for text ranking: Bert and beyond
The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in
response to a query. Although the most common formulation of text ranking is search …
response to a query. Although the most common formulation of text ranking is search …
A survey on distributed machine learning
The demand for artificial intelligence has grown significantly over the past decade, and this
growth has been fueled by advances in machine learning techniques and the ability to …
growth has been fueled by advances in machine learning techniques and the ability to …
Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence
Smarter applications are making better use of the insights gleaned from data, having an
impact on every industry and research discipline. At the core of this revolution lies the tools …
impact on every industry and research discipline. At the core of this revolution lies the tools …
[PDF][PDF] Big data service architecture: a survey
As one of the main development directions in the information field, big data technology can
be applied for data mining, data analysis and data sharing in the massive data, and it …
be applied for data mining, data analysis and data sharing in the massive data, and it …
Network slicing and softwarization: A survey on principles, enabling technologies, and solutions
Network slicing has been identified as the backbone of the rapidly evolving 5G technology.
However, as its consolidation and standardization progress, there are no literatures that …
However, as its consolidation and standardization progress, there are no literatures that …
Ray: A distributed framework for emerging {AI} applications
The next generation of AI applications will continuously interact with the environment and
learn from these interactions. These applications impose new and demanding systems …
learn from these interactions. These applications impose new and demanding systems …
Google Earth Engine: Planetary-scale geospatial analysis for everyone
Abstract Google Earth Engine is a cloud-based platform for planetary-scale geospatial
analysis that brings Google's massive computational capabilities to bear on a variety of high …
analysis that brings Google's massive computational capabilities to bear on a variety of high …
[書籍][B] Advances in financial machine learning
ML De Prado - 2018 - books.google.com
Learn to understand and implement the latest machine learning innovations to improve your
investment performance Machine learning (ML) is changing virtually every aspect of our …
investment performance Machine learning (ML) is changing virtually every aspect of our …