Global Data Science Forum

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  • Manu's suggestion about Harvard's CX 50 is excellent. I've been taking it and have found it tremendously helpful. ------------------------------ Sara Wedeman, PhD Founder Behavioral Economics Consulting Group, LLC Philadelphia PA +1 (267)825-4044 - ...

  • I have read a lot about how "anyone can be a data scientist," but my experience suggests this is not entirely credible. I completed the Professional Data Science certification series on Coursera, easily, with a 99.2% overall score for the 9 courses together. ...

  • Hello! Thanks to everyone who registered for our first Data Science Community Office Hours . Here are some points of discussion that we'd love to hear your feedback on: Over the next 3-6 months, what progress do you want to make on your personal ...

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Latest Articles

  • ​ AI Journey with Modern Applications AI Power Apps Organizations today are trying to make use of their data sets to build effective applications in fast moving consumer world. To address diverse challenges they need experts, tools, and resources. ...

  • IBM is proud to introduce the on-demand Data and AI Virtual Forum for your enterprise needs. Earlier this February, Data and AI Virtual Forum witnessed 3200+ LIVE attendees, 11000+ document views, 16000+ video views on its platform that ...

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  • It has been possible to see and study the epidemic management methods of the, perhaps more digitized, oriental peoples. The Chinese strategy of mass surveillance has, may be, achieved one of the greatest tangible results of the COVID-19 threat so ...

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    Markovian

    A Markov chain is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event. In continuous-time, it is known as a Markov process. It is named after the ...

  • Tomorrow at 1pm EST [10am PDT], join IBM's Martin Hirzel for a walk-through on semi-automated data science with Lale! Lale is an open source library that is compatible with Python focused on the automation, interoperability, and usability of data science ...

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