Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. It separates the hidden links and patterns in the data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

OCTOBER 25, 2021

billion (Microsoft’s biggest purchase since LinkedIn), provides niche AI products for clinical voice transcription, used in 77 percent of US hospitals. Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology.

Medical 52

Medical Healthcare Process Hospitality 52

AltexSoft

MAY 30, 2022

But unlike rule-based systems, these chatbots can improve over time through data and machine learning algorithms. get better from human feedback — when a user provides additional information and corrects a bot’s mistakes, you can use those corrections to automate learning for the model to improve.

Banking 52

Banking Machine Learning Deep Learning Insurance 52

AltexSoft

JUNE 26, 2023

Note that in many cases, the process of gathering information never ends since you always need fresh data to re-train and improve existing ML models, gain consumer insights, analyze current market trends, and so on. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

AUGUST 24, 2021

Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization. It will use the same tool, Azure Pureview, and help you learn how to perform data ingestion in real-time. Strong proficiency in using SQL for data sourcing.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. The process of cooking the right food for your algorithm falls into two key steps.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59