In a groundbreaking announcement at the Indian Institute of Technology Bombay's annual Techfest, Akash Ambani, the chairman of Reliance Jio Infocomm, unveiled the collaborative efforts with IIT [...]
Meta and IBM have joined forces to launch the AI Alliance, a new initiative advocating for an "open-science" approach to the development of artificial intelligence (AI). In [...]
Google's DeepMind has developed a groundbreaking tool called GNoME that utilizes deep learning to expedite the process of uncovering new materials. This innovative technology has the potential [...]
New tools are bundling data cleanup, drag-and-drop programming, and the cloud to help anyone comfortable with a spreadsheet to leverage the power of data science.
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What will data science jobs look like in the future? This question was originally answered on Quora by Dan Wulin.
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As part of the Udacity Nanodegree program, students will have access to weekly live sessions and a dedicated personal mentor
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Data science and ML are different in key ways. In some ways, one can be seen as a subset of the other. Both are important in current IT progress.
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In a world in which “big data” and “data science” seem to adorn every technology-related news article and social media post, have the terms finally reached saturation? As the use of large amounts of data has become mainstream, is the role of “data science” replacing the hype of “big data?”
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