Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1] Source: Gartner (April 2018).

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

FEBRUARY 28, 2019

Augmented Data Science is integrated into the average enterprise, the domain of data science proliferates as does the knowledge and understanding of analytical techniques. The popularity and availability of intuitive, guided, Advanced Analytics allows for new analytic insights.

Data Science 40

Data Science IT Machine Learning Predictive Modeling 40

DataRobot Blog

AUGUST 23, 2019

We started with the result of every match (and set scores) for ATP and WTA tour matches from 2010 through 2018. Once we had built this prediction model , we could take the draw of any tournament and simulate the results 100,000 times to find out how often each player would win with that particular draw. Andrew received his Ph.D.

Predictive Modeling 52

Predictive Modeling Modeling Marketing Analytics Data Science 52

BizAcuity

APRIL 25, 2022

In 2018, the US Supreme Court’s decision to legalize sports betting was historic. Thanks to data analytics, these decisions can now be backed by data. Most casinos lack a proper analytical system to identify and segment customer profiles based on past behavior. Predictive Analytics. Floor Optimization.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

O'Reilly on Data

SEPTEMBER 11, 2019

Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. At least one of the forecast methods will have a quantitative prediction interval generated by the data scientist, so that other forecasts can be considered in the context of this range.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113