June 1, 2019 Combining neural network and GPU in Google Cloud Platform Imagine we want to recognize/identify an object in the images streamed from camera feeds (such as to recognize thief/suspect at the immigration checkpoint, airports,… 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 Precision agriculture for a rural area with limited connectivity Among many hyped agriculture technologies under industry 4.0 umbrella I’ve ever seen, this Microsoft solution, namely FarmBeats, appropriately addresses Indonesia’s geographical challenges. As a… 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