The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., This blog post discusses such a comprehensive approach that is used at Youtube. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. measure the subjects’ ability to trust the models’ results.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. Originally published in 2016, it has a second edition that was published in 2019 that includes a rewritten chapter on qualitative data as well as 9 new chart types and shortcuts on Excel.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

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

O'Reilly on Data

MARCH 20, 2019

Benchmark models : An older or trusted interpretable modeling pipeline, or other highly transparent predictor, can be used as a benchmark model from which to measure whether a prediction was manipulated by any number of means. O’Reilly Ideas (2019). This could include data poisoning, watermark attacks, or adversarial example attacks.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

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. The interval [-a, a] is called a 90% confidence interval.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Peter James Thomas

OCTOBER 1, 2019

Throughout I use the word “category” to refer to something discrete that is plotted on an axis, for example France, Germany, Italy and The UK, or 2016, 2017, 2018 and 2019. Some authorities describe them as any diagram using a map to display statistical data; I cover this type of general chart in Map Charts below.

Sales 61

Sales Measurement Statistics Data Architecture 61

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv. In this piece, we detail the Israeli debut of Periscope Data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

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

Peter James Thomas

APRIL 9, 2019

This is the second year in which I have produced a retrospective of my blogging activity. Maybe I will do better with 2019’s highlights! This increase was driven in part by the launch of my new Maths & Science section , articles from which claimed no fewer than 6 slots in the 2018 top 10 articles, when measured by hits [1].

Data-driven 49

Data-driven Statistics Big Data Data Science 49

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. Measure the Reading Grade Level of Your Writing.

Visualization 56

Visualization Reporting Statistics Dashboards 56

datapine

NOVEMBER 27, 2019

2019 was a particularly major year for the business intelligence industry. While we work on programs to avoid such inconvenience , AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken into account. And it’s completely free!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361