June 1, 2019 Dataiku: flexible data science tools In the previous post, the flexibility given by data science tools greatly reduces the performance, i.e., the execution speed. Fortunately, Dataiku, a data science… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Flexibility vs. Speed Data science tools such as Rapidminer, Dataiku, and KNIME offer so much flexibility and provide easy-to-understand building blocks that abstract data processing functions. It… Share this:TweetWhatsAppPrintEmail
June 1, 2019 GPU Database I think one of the promising technology in the next couple of years is the use of GPU for accelerating any kinds of job…. Share this:TweetWhatsAppPrintEmail
June 1, 2019 Google Cloud Vision API to detect vehicle plate number This is why every organization engages artificial intelligence & machine learning. Once they have an “extensively trained” model that has a very good performance,… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Syncsort DMX-h & IBM SPSS Modeler Two other popular data processing platform in the IT world are explored, i.e., DMX-h and SPSS Modeler. 1) DMX-h I was an extensive user… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Data science & ML (commercial) tools: their competitive landscape In the last post, I mentioned the Gartner’s magic quadrant as well as the competitive landscape of BI products. KDnuggets covers the data science… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Polyglot data science applications There is no such a “Swiss Army knife” tool; every tool has its advantages in a certain circumstance, e.g., we know R has the… Share this:TweetWhatsAppPrintEmail