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Top 17 trending interview questions for AI Scientists

Data Science Dojo

Bureau of Labor Statistics predicting a 35% increase in job openings from 2022 to 2032. Industry Adoption: Widespread Implementation: AI and data science are being adopted across various industries, including healthcare, finance, retail, and manufacturing, driving increased demand for skilled professionals.

AI 364
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Meet the Visiting Research Professor: Arian Maleki

NYU Center for Data Science

Arian’s research has appeared in journals covering novel work in machine learning and artificial intelligence such as “ Sharp concentration results for heavy-tailed distributions ” (Information and Inference, 2023) and “ Compressed sensing in the presence of speckle noise” (Transactions on Information Theory, 2022). By Meryl Phair

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Meet the winners of the Forecast and Final Prize Stages of the Water Supply Forecast Rodeo

DrivenData Labs

Final Stage Overall Prizes where models were rigorously evaluated with cross-validation and model reports were judged by a panel of experts. The cross-validations for all winners were reproduced by the DrivenData team. Lower is better. Unsurprisingly, the 0.10 quantile was easier to predict than the 0.90

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The Evolution of Tabular Data: From Analysis to AI

Towards AI

Traditionally, tabular data has been used for simply organizing and reporting information. However, over the past decade, its usage has evolved significantly due to several key factors: Kaggle Competitions: Kaggle emerged in 2010 [1] and popularized data science and machine learning competitions using real-world tabular datasets.

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Meet the winners of the Mars Spectrometry 2: Gas Chromatography Challenge

DrivenData Labs

The results of this GCMS challenge could not only support NASA scientists to more quickly analyze data, but is also a proof-of-concept of the use of data science and machine learning techniques on complex GCMS data for future missions. I teach computer programming, data science and software engineering courses.

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Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

By leveraging cross-validation, we ensured the model’s assessment wasn’t reliant on a singular data split. Do you think other sports entertainment industries can benefit from predictive analytics brought through by a data challenge with Ocean Protocol?

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Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning

AWS Machine Learning Blog

The Best Egg data science team uses Amazon SageMaker Studio for building and running Jupyter notebooks. The data science team must sometimes work with limited training data in the order of tens of thousands of records given the nature of their use cases.

ML 101