Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. 2, What does lack of data or labels mean in the first place?

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Dataconomy

APRIL 18, 2023

In this article, we’ll explore some of the fundamental concepts in artificial intelligence, from supervised and unsupervised learning to bias and fairness in AI. Machine learning techniques can be broadly classified into three categories: supervised learning, unsupervised learning, and reinforcement learning.

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How to Learn Machine Learning

OCTOBER 10, 2024

Training data is the data you use to train an algorithm or machine learning model The quality of this data has a great impact on the model’s subsequent development, setting a powerful precedent for all future applications that use the same training data. Data Labeling Accurate labeling is extremely important in supervised learning.

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BAIR

APRIL 6, 2023

This approach is known as “Fleet Learning,” a term popularized by Elon Musk in 2016 press releases about Tesla Autopilot and used in press communications by Toyota Research Institute , Wayve AI , and others. Furthermore, due to advances in cloud robotics , the fleet can offload data, memory, and computation (e.g.,

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ODSC - Open Data Science

OCTOBER 15, 2023

The platform makes it easy to create and manage feature engineering pipelines, which can save time and improve the accuracy of machine learning models. Outerbounds Founded in 2016, Outerbounds is a company that provides a platform for building and managing anomaly detection models. So, what are you waiting for?

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Google Research AI blog

JANUARY 18, 2023

Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series. Language Models The progress on larger and more powerful language models has been one of the most exciting areas of machine learning (ML) research over the last decade.

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