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 66

Forecasting Statistics Modeling Software 66

DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. In addition to the model metrics discussed above for classification, DataRobot similarly provides fit metrics for regression models, and helps the modeler visualize the spread of model errors.

Risk 52

Risk Modeling Metrics Business Objectives 52

Domino Data Lab

JANUARY 6, 2019

For content, the foundational material needs hands-on examples which reinforce statistical thinking , how to build reproducible workflows , understanding how to use confidence intervals , how to visualize data , no free lunch theorem, creating a confusion matrix , and so on. Data visualization for prediction accuracy ( credit: R2D3 ).

Data Science 56

Data Science Machine Learning Visualization Reporting 56

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. 2011) earlier in this chapter. Note: Maas, A., Learning word vectors for sentiment analysis. Example 11.6 Example 11.9

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

MARCH 3, 2019

While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise. Spark, Kafka, TensorFlow, Snowflake, etc.,

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

CIO Business Intelligence

APRIL 9, 2025

One of the most fundamental tenets of statistical methods in the last century has focused on correlation to determine causation. 2011 Turing Award winner Judea Pearls landmark work The Book of Why (2020) explains it well when he states that correlation is not causation and you are smarter than your data.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Occam's Razor

SEPTEMBER 13, 2016

If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. With that as context, you can imagine how heart-broken I was when Jane shared the following visual from a study done by Econsultancy and Lynchpin. Visual perception of information. Interpreting mathematical information.

Modeling 128

Modeling Reporting Strategy Consulting 128

Occam's Razor

SEPTEMBER 24, 2012

I wanted to come up with a way to visualize the unique challenge Facebook faces when it comes to proving ROI. You can see another cool visual by hovering on the percentage number: It shows you how many impressions of your Promoted Posts were shown in people's news feeds. Let's go! Metrics are a problem. It is cute.

Advertising 165

Advertising ROI Metrics Marketing 165

Domino Data Lab

JULY 9, 2019

.” And this is one of his papers about “you’re doing it wrong” where he talked about the algorithmic culture that he was observing in the machine learning community versus the generative model community that was more traditional in statistics. For visualization we’re not building our own dashboards.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Juice Analytics

MARCH 22, 2021

This collection of world-class data stories demonstrates how to combined data visualization, interactivity, and classic storytelling. An extraordinary early data story (it runs in Java) that inspired a generation of data visualization professionals. US Gun Deaths by Periscopic This visualization shows “stolen years” due to gun deaths.

Visualization 140

Visualization Interactive Statistics Forecasting 140

datapine

AUGUST 29, 2022

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, To start a more in-depth grasp of your own data sets, you can try our online data visualization tool for free with a 14-day trial !

Big Data 263

Big Data Data Analytics Analytics Data mining 263