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Top Deep Learning Frameworks

Deep learning, a vital element of data science, is a class of machine learning that works similarly to the human brain. Simply, it can...

Top Machine Learning (ML) Research Papers Released in 2022

Machine learning (ML) is gaining much traction in recent years owing to the disruption and development it brings in enhancing existing technologies. Every month,...

Newest Edition of Microsoft’s Machine Learning Framework: ML.NET 3.0

Microsoft recently released the newest version of its machine learning framework ML.NET, ML.NET 3.0. With the ML.NET new edition 3.0 from Microsoft, programmers can...

Microsoft ML.NET 2.0, the Updated Machine Learning Framework for .NET

Microsoft announced ML.NET 2.0, an updated version of its open-source machine learning framework ML.NET. A number of upgraded natural language processing (NLP) APIs, including...

Fortuna: Amazon unveils a new library for developing uncertainty quantification of ML models

Last week, Amazon unveiled its new open-source library, Fortuna, for uncertainty quantification of machine learning models. Fortuna offers calibration methods like conformal prediction to...

Point-E, OpenAI’s New Open-Source AI That Generates 3D Models

OpenAI introduced its new open-source AI generator that generates 3D models based on text prompts. Point-E, a machine learning system, differs from other traditional...

Andrew Ng announces a new math course for machine learning and data science

Andrew Ng, a recognized AI scientist and the founder of deep learning.ai, announces a new math course for machine learning and data science specialization....

Google announces Simple ML machine learning add-on for Google Sheets

This week, Google LLC announced a brand-new tool that will let users create machine learning models in Google Sheets. Currently available as a beta,...

AWS Machine Learning University to offer a free AI Educator enablement program

Amazon Web Services (AWS) Machine Learning University is going to offer a free AI educator enablement program from January 2023 to help institutions prioritize...

MIT Researchers Might Have Answer to Synthetic Data Woes for Model Training

Machine learning algorithms are fueled by data. Gathering relevant data is the most crucial and challenging step in creating a robust machine-learning model that...
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