datapine

MAY 14, 2019

Why You Need To Read Data Science Books. Before we tell you why each of our entries makes the best books on data science, it’s important to give you a little context on this most exciting of modern fields. In 2013, less than 0.5% of all available data was analyzed, used, and understood. click for book source**.

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

Rocket-Powered Data Science

MAY 20, 2020

In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter. And then there’s this — not a blog, but a link to my 2013 TedX talk: “ Big Data, Small World.” Rocket-Powered Data Science (the website that you are now reading). That list will be compiled in another place soon.).

Data Science 241

Data Science Big Data Internet of Things Data mining 241

bridgei2i

JULY 28, 2020

It is my immense pleasure to introduce you all to our guest today Ria Persad, she’s named as international woman of the year by Renewable Energy World in power engineering in 2013 and the lifetime achievement leader by Platts Global Energy awards in 2014. More efficient, more scalable systems are going to be able to handle more data.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

by OMKAR MURALIDHARAN Many machine learning applications have some kind of regression at their core, so understanding large-scale regression systems is important. But most common machine learning methods don’t give posteriors, and many don’t have explicit probability models. For more on ad CTR estimation, refer to [2].

KDD 40

KDD Testing Machine Learning Measurement 40

The Unofficial Google Data Science Blog

APRIL 23, 2024

European Control Conference (ECC), pages 3071-3076, 2013. [11] Springer Netherlands, 2013. [16] Journal of Machine Learning Research, 17(83):1–5, 2016. [23] Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. Optimization and Engineering., 17:263-287, 2016. [10] Domahidi, E.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” In the past, data visualizations were a powerful way to differentiate a software application. Standalone is a thing of the past. Instead, software can be used.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52