Depict Data Studio

APRIL 10, 2023

and implications of findings) than in statistical significance. Apply the Squint Test In these before scatter plot on the left, the cluttered appearance distracts us from the data. Apply the Squint Test. I like to test my drafts ahead of time to make sure they’ll still be legible even if they’re printed in grayscale.

Visualization 105

Visualization Dashboards Testing Reporting 105

CIO Business Intelligence

FEBRUARY 28, 2023

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. Fearless designers also employed unique technologies to ensure viewers have a speedy, rich experience regardless of the device they use.

Metadata 98

Metadata Recreation/Entertainment Cost-Benefit Technology 98

Ontotext

MAY 26, 2021

Our first data source says that on June 13, 2016 Microsoft bought LinkedIn , while the second – that Microsoft bought LinkedIn for $28.1 But, before we can have any larger scale implementation of these rules, we have to test their validity. How does the Gold Standard help data linking?

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

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 53

Analytics IT Business Intelligence Testing 53

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. predict(usBest, n.ahead=5, se.fit=TRUE) $pred Time Series: Start = 2012 End = 2016 Frequency = 1 [1] 49292.41 Chapter Introduction: Time Series and Autocorrelation. > attGarch.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

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

Domino Data Lab

AUGUST 8, 2019

Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. Putting discussions about security aside, the statistics competency required to confront fairness and bias issues for machine learning models in production set quite a high bar. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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. e-handbook of statistical methods: Summary tables of useful fractional factorial designs , 2018 [3] Ulrike Groemping.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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). Pfeifer, J., Voevodski, K., Mangylov, A.,

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

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. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). Journal of the American Statistical Association 68.341 (1973): 117-130. [5]

Modeling 40

Modeling Statistics Advertising Testing 40

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. Office for National Statistics (2015) Gender Pay Gap. & Kamenou-Aigbekaen, N.

Data-driven 49

Data-driven Marketing Testing Insurance 49

Domino Data Lab

MARCH 27, 2019

This data set contains the percentage of votes that were cast in each state for the Democratic Party candidate in each presidential election from 1932 to 2016. Using the summarize() function to calculate summary statistics for the presidentialElections data frame. For more information, see the pscl package reference manual , or use ?

Statistics 85

Statistics Data Science Visualization IT 85

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

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 31

Statistics Uncertainty Risk Marketing 31

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

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. Ok, maybe statistical modeling smells like an analytical skill. If these 50 pass the sniff test, send the survey. Take 10 mins each.

Modeling 128

Modeling Reporting Strategy Consulting 128

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

datapine

AUGUST 29, 2022

It was lately revised and updated in January 2016. Not only does this digestible guide speak to the reader in a clear, decipherable language, but it is also rich in actionable tips in areas including A/B testing, social network analysis, regression, clustering, and more. Davenport. is one of the greatest on the market.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. We saw this after the 2016 U.S. To do so, let’s stick with the example of the 2016 U.S. For example, in different conversations, I told several friends that my COVID-19 test had come back negative. Mike: But I lost!

Uncertainty 357

Uncertainty Testing Risk Reporting 357