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How Can Data Scientists Use Parallel Processing? - MLWhiz

How Can Data Scientists Use Parallel Processing? - MLWhiz

How Can Data Scientists Use Parallel Processing? By Rahul Agarwal 24 July 2021 Finally, my program is running! Should I go and get a coffee? We data scientists have got powerful...

Introducing the Google Universal Image Embedding Challenge

Introducing the Google Universal Image Embedding Challenge

Computer vision models see daily application for a wide variety of tasks, ranging from object recognition to image-based 3D object reconstruction. One challenging type of...

Has Deep Learning Made Traditional Machine Learning Obsolete?

Has Deep Learning Made Traditional Machine Learning Obsolete?

The artificial intelligence (AI) field has made its mark on virtually every industry, from manufacturing and logistics to robotics and health care. AI is becoming increasingly...

Machine Learning and the Physical Sciences, NeurIPS 2022

Machine Learning and the Physical Sciences, NeurIPS 2022

Machine Learning and the Physical Sciences Workshop at the 36th conference on Neural Information Processing Systems (NeurIPS) December 3, 2022 Submission Deadline: September 22...

Machine Learning and the Physical Sciences, NeurIPS 2022

Machine Learning and the Physical Sciences, NeurIPS 2022

Machine Learning and the Physical Sciences Workshop at the 36th conference on Neural Information Processing Systems (NeurIPS) December 3, 2022 2022 2021 2020 2019 2017 About The...

AI Marketing – A data-driven approach to digital marketing

AI Marketing – A data-driven approach to digital marketing

Artificial intelligence, or AI, is the ability of a computer or machine to mimic human intelligence, including the capacity to learn from examples and experience, recognize...

ModelOps, MLOps, and Finding Value in Analytics

ModelOps, MLOps, and Finding Value in Analytics

In a recent survey, 42% of data scientists reported that their results were not used by decision-makers. This is a twofold... Ina recent survey, 42% of data scientists reported...

Case Study: PathAI Uses PyTorch to Improve Patient Outcomes with AI-powered Pathology

Case Study: PathAI Uses PyTorch to Improve Patient Outcomes with AI-powered Pathology

​​PathAI is the leading provider of AI-powered technology tools and services for pathology (the study of disease). Our platform was built to enable substantial improvements to...

An overview of graph neural networks for anomaly detection in e-commerce

An overview of graph neural networks for anomaly detection in e-commerce

In Part 1 of this blogpost, we introduced the terminology and touched on the benefit of using network and graph information toward a more efficient anomaly detection in...

Towards Reliability in Deep Learning Systems

Towards Reliability in Deep Learning Systems

Deep learning models have made impressive progress in vision, language, and other modalities, particularly with the rise of large-scale pre-training. Such models are most...

Testing Firefox more efficiently with machine learning – Mozilla Hacks - the Web developer blog

Testing Firefox more efficiently with machine learning – Mozilla Hacks - the Web developer blog

A browser is an incredibly complex piece of software. With such enormous complexity, the only way to maintain a rapid pace of development is through an extensive CI system that...

3 data quality metrics dataops should prioritize

3 data quality metrics dataops should prioritize

Measuring quality of any kind requires the science of creating a measure or key performance indicator for a subjective property and turning it into a quantifiable attribute....