The Unofficial Google Data Science Blog

SEPTEMBER 23, 2015

by KAY BRODERSEN For the first time in the history of statistics, recent innovations in big data might allow us to estimate fine-grained causal effects, automatically and at scale. How can we predict the benefits the idea's realization would create for users, publishers, developers, or advertisers? Is a randomized experiment possible?

Advertising 47

Advertising Statistics Big Data Modeling 47

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. Data visualization, or ‘data viz’ as it’s commonly known, is the graphic presentation of data. That’s a colossal number of books on visualization. Data visualization: What You Need To Know.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

datapine

NOVEMBER 6, 2023

Every day, we encounter graphical representations of data in our jobs and also in the news or advertisements. That is because visuals make it easier to convey and understand critical information, breaching the knowledge gap between audiences across industries. This makes them highly engaging visuals for projects or presentations.

Visualization 186

Visualization Cost-Benefit KPI Sales 186

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. It is very likely that you have found yourself looking at a chart or graph at work, in the news, sports, media, advertising, and many other places at some point in your life.

Visualization 177

Visualization Dashboards Sales Measurement 177

datapine

SEPTEMBER 4, 2023

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? 4) Static vs. Animated Data Visualization Data is the new oil? ” – David McCandless Humans are visual creatures. This very notion is the core of visualization.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

CIO Business Intelligence

SEPTEMBER 22, 2023

In these instances, data feeds come largely from advertising channels, and the reports they generate are designed to help marketers spend wisely. Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics.

Management 102

Management Advertising Data Lake Sales 102

CIO Business Intelligence

JUNE 9, 2022

In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely. Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics.

Management 140

Management Advertising Data Lake Sales 140

datapine

NOVEMBER 15, 2022

They encompass marketing, sales, advertisement, etc. Taking medians over averages is preferable, as they give stronger statistics that are less sensitive to outliers. The list of product health metrics can go lengthy, especially when you want to test different hypotheses and correlations and need to gather a lot of varied data.

Metrics 141

Metrics KPI Measurement Dashboards 141

Domino Data Lab

MAY 8, 2019

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

AUGUST 8, 2019

He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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. Often our data can be stored or visualized as a table like the one shown below. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood).

Modeling 40

Modeling Statistics Advertising Testing 40

datapine

AUGUST 29, 2022

Stein Kretsinger, founding executive, Advertising. 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. An excerpt from a rave review: “The Freakonomics of big data.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

JUNE 23, 2019

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. That’s not very useful for finding candidates for job matching, for all the other things you want to do, or for advertising. Testing is critical.

Management 110

Management Machine Learning Experimentation Metrics 110

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

Domino Data Lab

JULY 9, 2019

As advertised, I split my time between Columbia and The New York Times where I’m leading the data science group. For us, you know, this started out as like a science project with some fancy topic modeling and then we showed it to our friends in advertising and they said, “Sweet. The “where” is geolocation.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Smarten

APRIL 19, 2022

They can analyze how product opinions change over time and understand sentiments to improve the response to product reviews, movie or book reviews, advertising campaigns, Amazon product reviews, social media tweets and comments, news headlines media content, and more.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smarten

NOVEMBER 26, 2023

Put simply, data democratization enables every team member in a business to work with and understand data without technical or statistical training or knowledge. They can use data on a daily basis to test theories, share and collaborate, and can receive alerts to inform them when thresholds are crossed or issues need resolution or analysis.

Business Intelligence 40

Business Intelligence Data-driven Advertising Reporting 40

Smarten

JUNE 21, 2018

Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data. Business Benefit : Helps in planning for repeat telecast and for more advertisement (fund raising) if the projected count of viewers is high.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40