CIO Business Intelligence

FEBRUARY 28, 2023

The startup focused on federal contracts and earned its first contract with the Secret Service in 2017. Many of these technologies are time-tested frameworks and tools that don’t get a lot of publicity but are known platforms that have evolved and aged well. Today, it employs more than 200.

Metadata 98

Metadata Recreation/Entertainment Cost-Benefit Technology 98

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Challenges for Transparency ”. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. We offer two examples where this may be the case.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Jen Stirrup

OCTOBER 21, 2019

For the leaders, the simplest option can simply be doing nothing, but let someone run around burning themselves out so that eventually it becomes a test of patience and stamina, rather than a test of what is right and wrong. BBC (2017) BBC’s 9 % gender pay gap revealed . EHRC (2017) Being Disabled in Britain. .

Data-driven 48

Data-driven Marketing Testing Management 48

Smarten

SEPTEMBER 6, 2019

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others.

Analytics 51

Analytics IT Business Intelligence Testing 51

Smarten

MAY 11, 2017

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist, ETL or developer. Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

Smart Data Collective

FEBRUARY 17, 2021

In 2017, the global market for healthcare analytics was valued at $16.9 To prove the words, here’s statistics by Stanford Medicine : Nearly three out of four PCPs (72%) think that improving EHRs’ user interfaces could best address EHR challenges in the immediate future. Big data has had a tremendous affect on the healthcare sector.

Big Data 73

Big Data Software Marketing Snapshot 73

O'Reilly on Data

JANUARY 25, 2021

Both SRE and DevOps emphasize similar practices: version control (62% growth for GitHub, and 48% for Git), testing (high usage, though no year-over-year growth), continuous deployment (down 20%), monitoring (up 9%), and observability (up 128%). It’s particularly difficult if testing includes issues like fairness and bias.

Machine Learning 363

Machine Learning Software Testing Technology 363

Smarten

AUGUST 9, 2017

You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L. Users can perform advanced analytics in an easy-to-use, drag and drop interface without knowledge of statistical analysis or algorithms.

Analytics 40

Analytics IT Statistics ROI 40

Smarten

NOVEMBER 22, 2017

Your business users can perform advanced analytics, using sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. test: py.test --nbval notebooks/*.ipynb.

Statistics 59

Statistics Machine Learning Testing Modeling 59

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. We use the diagnostic test results of our regression model to support the reasons why CIs should not be used in financial data analyses. and an error term ??

Statistics 27

Statistics Uncertainty Risk Marketing 27

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. For example, consider the following simple example fitting a two-dimensional function to predict if someone will pass the bar exam based just on their GPA (grades) and LSAT (a standardized test) using the public dataset (Wightman, 1998). As introduced in Zaheer et al. Pfeifer, J.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

The Unofficial Google Data Science Blog

JULY 18, 2023

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. While it may be a little abstract, this concept forms a key piece of Classical Test Theory (CTT) , a foundation of psychometrics.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Domino Data Lab

AUGUST 8, 2019

Another key point: troubleshooting edge cases for models in production—which is often where ethics and data meet, as far as regulators are concerned—requires much more sophistication in statistics than most data science teams tend to have. Public Health Reports (2017-07-10). It’s a quick way to clear the room. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

O'Reilly on Data

MARCH 23, 2023

All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. And it can look up an author and make statistical observations about their interests.

IT 262

IT Modeling Testing Risk 262

CIO Business Intelligence

JUNE 14, 2022

Whitehall has expressed a desire to move to a buy once, use many times approach to technology as well as ensuring that nationally important systems are resilience tested annually. One Login would replace the 180 different accounts and 44 different sign-on methods you would theoretically need to access all government services. .

Strategy 101

Strategy IT Digital Transformation Data Processing 101

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. Prescriptive analytics goes a step further into the future.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361