What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

In a world increasingly shaped by artificial intelligence, the question of how machines make decisions under uncertain ...

Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have ...

DotData. Top Executive: Ryohei Fujimaki, Founder, CEO DotData develops what it calls AutoML 2.0 solutions for automating data science workflows. The dotData Enterprise machine learning and data ...

Nitrogen fertilizers used in agriculture contribute significantly to global warming. A new breeding concept, specifically for ...

Lastly, some experts think that, black box or no, there ought to be hard limits on what machine learning is used for.EPFL’s Bryan Ford explained that there are fundamental shortcomings to AIs ...

Data science vs machine learning. If you are an aspiring data scientist, you may have come across the terms artificial intelligence (AI), machine learning, deep learning and neural networks.

Machine Learning for Data Science Curriculum. IMPORTANT NOTE: Drexel operates on the quarter, not semester, system, offering classes during four 10-week terms throughout the year. Please visit ...

That’s almost magical! I think the combination of learning new quantitative methods while applying them to social issues is a very attractive combination for students. Machine learning, for example, ...

Data science and machine learning technologies continue to rapidly evolve, providing innovative ways for businesses to leverage their data assets and automate data-focused processes. Here are 10 ...