Distributed platforms and cloud services: Enabling machine learning for big data
Applying popular machine learning algorithms to large amounts of data has raised new
challenges for machine learning practitioners. Traditional libraries do not support properly …
challenges for machine learning practitioners. Traditional libraries do not support properly …
Scalable least square twin support vector machine learning
Abstract Machine Learning (ML) on massive scale datasets, called Big Data, has become a
challenge for traditional computing and storage technologies. Henceforth, massive scale ML …
challenge for traditional computing and storage technologies. Henceforth, massive scale ML …
Role of Machine Learning and Application Towards Information Retrieval in Cloud
In a broad sense, natural language processing (NLP) may be defined as the capacity of a
set of computer instructions to be familiar with human interpretation language as a part of …
set of computer instructions to be familiar with human interpretation language as a part of …
Check for Scalable Least Square Twin Support Vector Machine Learning Bakshi Rohit Prasad and Sonali Agarwal Indian Institute of Information Technology …
BR Prasad - Big Data Analytics and Knowledge Discovery: 21st …, 2019 - books.google.com
Machine Learning (ML) on massive scale datasets, called Big Data, has become a
challenge for traditional computing and storage technologies. Henceforth, massive scale ML …
challenge for traditional computing and storage technologies. Henceforth, massive scale ML …