DMBS2

JUNE 25, 2018

The United States has new legal limits on electronic surveillance, both in one specific way and — more important — in prevailing judicial theory. This falls far short of the protections we ultimately need, but it’s a welcome development even so. The recent Supreme Court case Carpenter v. United States is a big deal. Let me start by saying: Most fundamentally, the Carpenter decision was based on and implicitly reaffirms the Katz test.* This is good.

Testing 61

Testing IT 61

IBM Big Data Hub

JUNE 25, 2018

IBM Data Science Experience was designed to kick-start and rapidly scale data science projects, fitting any deployment needs in a multicloud environment.

Data Science 67

Data Science ROI 67

Smarten

JUNE 25, 2018

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data. There are numerous methods of descriptive statistics, including Mean, Median, and Mode methods of averaging data and percentile, quartile, skewness and standard deviation/variance me

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

DataRobot Blog

JUNE 25, 2018

by Jen Underwood. In light of recent S-1 confessions and warnings about DOMO’s precarious situation, my condolences go out to DOMO’s customers, staff and investors. If DOMO does not pull off a successful IPO, Read More.

Analytics 40

Analytics 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Smarten

JUNE 25, 2018

This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar as possible from one group to another, and as much similar as possible within each group. KMeans Clustering is a grouping of similar things or data.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

DataRobot Blog

JUNE 25, 2018

by Jen Underwood. As data continues to grow and exceed current BI and analytics system capabilities, more organizations are adopting big data analytics solutions. Please join me and Wendy Gradek from AtScale in a. Read More.

Analytics 40

Analytics Big Data Data Analytics IoT 40