Towards AI

MAY 3, 2023

They investigate the most suitable algorithms, identify the best weights and hyperparameters, and might even collaborate with fellow data scientists in the community to develop an effective strategy. This is where ML CoPilot enters the scene. Vector databases can store them and are designed for search and data mining.

ML 98

ML ML Machine Learning Machine Learning 98

Flipboard

JUNE 26, 2023

These techniques utilize various machine learning (ML) based approaches. In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience.

AWS 123

AWS ML ML ETL 123

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification. Labeling the asset.

Data Classification 52

Data Classification Data Governance Data Analyst Analytics 52

AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

AWS 100

AWS ML ML Data Classification 100

AWS Machine Learning Blog

SEPTEMBER 24, 2024

AWS AI and machine learning (ML) services help address these concerns within the industry. AI/ML on AWS AI and ML have been a focus for Amazon for over 25 years, and many of the capabilities customers use with Amazon are driven by ML. Solutions Architect at AWS focusing on AI/ML and generative AI.

AWS 103

AWS AI AI ML 103

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Mlearning.ai

NOVEMBER 29, 2023

How to Use Machine Learning (ML) for Time Series Forecasting — NIX United The modern market pace calls for a respective competitive edge. Data forecasting has come a long way since formidable data processing-boosting technologies such as machine learning were introduced.

Machine Learning 52

Machine Learning Machine Learning ML ML 52