Check out my latest article: Understanding Natural Growth: Why We Should Be Using the Logistic Function to Model Covid-19 https://t.co/7sup8awsbY via @LinkedIn
The best data for predictive analytics is often the data you've always had. Here's how researchers found the best geological predictors for drilling exploratory wells were in...wait for it...historical drilling data sets. https://t.co/68OdkDwx0R #AI#analytics#ML#datamining
90% of Corporate Finance teams do not have the necessary skills to support digital transformation according to a study from the Association of International Certified Public Accountants and #Oracle. https://t.co/zy6Fxf2XmP Fewer than 11% have embraced AI. #OracleAnalytics
See slide 34 for a list frameworks we use to guide our machine learning and predictive analytics work for clients. https://t.co/KXDq3r0KdR Math and data are important, but so is #socialresponsibility#BigBrother
Great article that points out it’s often better to use less data than you have. #MachineLearning#OracleAdvancedAnalytics#OAA The surprising power of small data—more information isn't necessarily better in health care or business https://t.co/jONO659nfQ
@CharlieDataMine Nice! We spent about two years in our math club working methodically through a text titled “Linear Algebra: a geometric approach”. Can’t say enough about how much this helped me.
Scale is extremely important in all analytics. This article helps us think through the relative scale of millions, billions, and trillions thrown around the in the financial press. https://t.co/6zTMOREUGE via @physorg_com