Data Science and Beyond

MARCH 20, 2016

Given the impressive advancement of machine intelligence in recent years, many people have been speculating on what the future holds when it comes to the power and roles of robots in our society. Some have even called for regulation of machine intelligence before it’s too late. My take on this issue is that there is no need to speculate – machine intelligence is already here, with greedy robots already dominating our lives.

IT 52

IT 52

In(tegrate) the Clouds

MARCH 7, 2016

Last week SnapLogic posted the company’s mission on their blog , which is focused on accelerating how enterprise integration technology is delivered in the enterprise. The company is growing rapidly and hiring. Here is the their mission statement: It’s time to rethink integration. Integrating data and applications with legacy products is slowing down your business.

Big Data 45

Big Data Enterprise Strategy Marketing 45

Ms SQL Girl

MARCH 30, 2016

It’s been a long time since I wrote an article on Tabular Model. This week, one of my good readers, Andrew posted me a question. In this article, I want to show you how to connect to your Tabular Model database and use it as the underlying model for either Pivot Table, Pivot Chart, or Power View. As a side note, I actually was struggling to find Power View button in Excel 2016 as it was missing from the ribbon.

Modeling 40

Modeling Visualization IT Business Intelligence 40

Nutanix

MARCH 15, 2016

A conversation between Howard Ting, Nutanix CMO, and Madhu Matta, Lenovo Vice President, Server and Storage Product Marketing, about the frontiers of data center infrastructure.

Enterprise 20

Enterprise IT Marketing 20

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

The Unofficial Google Data Science Blog

MARCH 31, 2016

by NICHOLAS A. JOHNSON, ALAN ZHAO, KAI YANG, SHENG WU, FRANK O. KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

Occam's Razor

MARCH 7, 2016

I want you to sign up for something very, very special I'm doing: Writing short stories from the intersection of marketing and analytics. My goal is to get you promoted, you are going to love it. So. Please do sign up. But, first, as you've come to expect from this blog… Context…. Should you own or rent? The logic we are taught from when we were babies is that it is better to own than rent.

Marketing Analytics 86

Marketing Analytics Marketing Analytics KPI 86