Domino Data Lab

JANUARY 6, 2019

And my favorite topic: what are some of the best books, blogs, podcasts, etc., Recently the World Economic Forum published “ The Future of Jobs Report 2018.” Another recent report by McKinsey Global Institute correlates closely with the WEF analysis. for beginning study in data science? Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

The Unofficial Google Data Science Blog

APRIL 17, 2017

Facebook in a recent blog post unveiled Prophet , which is also a regression-based forecasting tool. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification. We hope this blog post is the start of such a dialogue. Accessed on 20 March 2017. Journal of Official Statistics 6.1

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

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. Journal of Statistical Software, 56(1):1-56, 2014. [5]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. billion in 2017 to $190.61 Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

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. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 95

Experimentation Statistics Testing Strategy 95

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

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? However – as is often the case with issues I deal with on this blog – fact-based decision-making is easier to say than it is to achieve.

Metrics 49

Metrics Statistics Data Quality Measurement 49

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64

O'Reilly on Data

MARCH 23, 2023

There are more that I haven’t listed, and there will be even more by the time you read this report. That statement would certainly horrify the researchers who are working on them, but at the level we can discuss in a nontechnical report, they are very similar. Personal conversation, though he may also have said this in his blog.

IT 258

IT Modeling Testing Risk 258

The Unofficial Google Data Science Blog

MARCH 13, 2017

By MUKUND SUNDARARAJAN, ANKUR TALY, QIQI YAN Editor's note: Causal inference is central to answering questions in science, engineering and business and hence the topic has received particular attention on this blog. Technical Report 1341, University of Montreal, 2009. CoRR, 2016. [3] Goodfellow, Quoc V. Le, Andrew M.

IT 68

IT Visualization Modeling Uncertainty 68

Smarten

MAY 11, 2017

Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science. Their findings include: Through 2017, the number of citizen data scientists will grow five times faster than the number of highly skilled data scientists.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Occam's Razor

JULY 13, 2017

You are going to see my deep bias for simplicity for the rest of this post (or in the 745,540 words written on this blog thus far). Good reporting. The Global Gender Gap Report is a fabulous example how to solve this problem. The output is not the reporting, the output are the conclusions from the Analyst’s brain.

Visualization 124

Visualization Strategy Interactive Statistics 124