DataKitchen

OCTOBER 5, 2022

A 2019 DataKitchen/Eckerson survey found that 79% of companies have more than three data-related errors in their pipelines per month. Bad data reaches the customer because companies haven’t invested enough, or at all, in testing, automation, and monitoring. Crisis happens, errors are inevitable.

Testing 130

Testing Risk Data Processing Statistics 130

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. This blog post discusses such a comprehensive approach that is used at Youtube. Indeed, such an approach is tractable and often used.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. We need to get to the root of the problem. Impact and confidence intervals.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

It also owns Google’s internal time series forecasting platform described in an earlier blog post. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. Our team does a lot of forecasting. For high stakes, strategic forecasts, my answer is: yes!

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

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

datapine

NOVEMBER 27, 2019

2019 was a particularly major year for the business intelligence industry. 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.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

Depict Data Studio

APRIL 16, 2019

GRADprofdev #GradsDo pic.twitter.com/Dw15UFiFDh — GradSchoolatUSC (@GradSchoolatUSC) April 5, 2019. Long ago, I had majored in psychology so I could take as many research methods and statistics courses as possible. link] — Heather Brandt (@BlondeScientist) April 11, 2019. Hey check out this data viz!

Visualization 56

Visualization Reporting Statistics Dashboards 56

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment. Image Source: Wikimedia Commons. and an error term ??

Statistics 27

Statistics Uncertainty Risk Marketing 27

Smart Data Collective

OCTOBER 14, 2019

In September 2019, Google decided to make it’s Differential Privacy Library available as an open-source tool. When Google talked about releasing this tool in its blog, the brand pointed out that if you don’t protect user data, you risk losing people’s trust.

Data Science 67

Data Science Machine Learning Big Data Interactive 67

Sisense

JULY 27, 2021

The box score was developed by sportswriter Henry Chadwick in 1858, and over 150 years later, statistics, data, and analysis have revolutionized the sport. Beyond the spike in strikeouts (which would have been noticeable by sheer mathematics), researchers at The Post also relied on another time-tested sports-analysis method: watching tape.

Analytics 52

Analytics Data-driven Statistics Measurement 52

Jen Stirrup

OCTOBER 21, 2019

I’m holding a Diversity and Inclusion Unconference session at Microsoft Ignite in November 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.

Data-driven 49

Data-driven Marketing Testing Management 49