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

Domino Data Lab

JULY 1, 2021

statistical model-based techniques – Using Machine Learning we can streamline and simplify the process of building NER models, because this approach does not need a predefined exhaustive set of naming rules. The process of statistical learning can automatically extract said rules from a training dataset. The CRF model.

Modeling 111

Modeling Statistics Testing Metrics 111

Smarten

SEPTEMBER 6, 2019

In the meantime, business users have a tool that is sophisticated enough to present clear, accurate, measurable results and allow them to find the source of problems, optimize results and share data to support business decisions.

Analytics 51

Analytics IT Business Intelligence Testing 51

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. The first is that they are straightforward to optimize using traditional gradient-based optimizers as long as we pre-specify the placement of the knots. There is a robust set of tools for working with these kinds of constrained optimization problems. Pfeifer, J., Pfeifer, J.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others.

Technology 279

Technology Internet of Things IT IoT 279

Andrew White

JANUARY 9, 2022

– We did some early work a few years ago that look at the career path of a CDO – see from 2016 Build Your Career Path to the Chief Data Officer Role. This was not statistic and we have not really explored this in any greater detail since. 2016) though I have followed the topic in retail and CPG for years.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Occam's Razor

SEPTEMBER 13, 2016

Econsultancy/Lynchpin provides this description in the report: "There were 960 respondents to our research request, which took the form of a global online survey fielded in May and June 2016. Take this as an example… How do you know that this is a profoundly sub-optimal collection of choices to provide?

Modeling 127

Modeling Reporting Strategy Consulting 127

The Unofficial Google Data Science Blog

MARCH 31, 2016

We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. Journal of the American Statistical Association 68.341 (1973): 117-130. [5] Journal of the American Statistical Association, Vol. bandit problems). 7] Nicholas A. "A

Modeling 40

Modeling Statistics Advertising Testing 40

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. Example 11.6

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

SEPTEMBER 25, 2019

A big part of statistics, particularly for financial and econometric data, is analyzing time series, data that are autocorrelated over time. Fortunately, the forecast package has a number of functions to make working with time series data easier, including determining the optimal number of diffs. The result is shown in Figure 24.4. >

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Occam's Razor

JULY 13, 2017

This is the simple view that greets you, outbreaks from 1890 to 2016 with vaccine development during that same time…. Consider this, conversion rate could go up by a statistically significant percentage… While revenue actually goes down. But how does the time taken to develop vaccines compare to the speed and frequency of outbreaks?

Visualization 124

Visualization Strategy Interactive Statistics 124