O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. The Core Responsibilities of the AI Product Manager. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. Identifying the problem.

Marketing 362

Marketing Experimentation Metrics Testing 362

Juice Analytics

APRIL 17, 2020

But not all dashboards (and data sources) are created equal. But not all dashboards (and data sources) are created equal. He goes on to clarify by saying that some estimate that 80% of the cases don’t get tested, so we don’t actually know the real number of cases, but it’s likely very much higher. ONE BILLION!! And it’s crap.)

Forecasting 85

Forecasting Snapshot Dashboards Uncertainty 85

Jen Stirrup

OCTOBER 21, 2019

The foundation of a free society is equal worth of all its citizens. Diversity, inclusion and equality is something that has always interested me. The conflict is not about the value of equality as such, but about the competing specifications of that value, about different versions of what it means to treat people as equals.

Data-driven 49

Data-driven Marketing Testing Management 49

CIO Business Intelligence

JULY 20, 2022

This is a potentially alarming statistic given a projected worldwide staffing shortage of nearly 3 million cybersecurity professionals , a half million in the United States alone. Yet after onboarding at HR SaaS provider Gusto in a customer experience (CX) role, exposure to coding sparked McGrath’s interest in shifting professional tracks.

IT 136

IT Software Cost-Benefit Strategy 136

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Among these, only statistical uncertainty has formal recognition. Vignette: Data Science at fluff.ai

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Smarten

JUNE 29, 2018

Simple Random Sampling: With this method of sampling, the selection is based on chance, and every item has an equal chance of selection. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. About Smarten.

Analytics 40

Analytics Statistics Business Intelligence Predictive Modeling 40

Domino Data Lab

JULY 17, 2021

The ability of a system to recognize a person by their voice is a non-intrusive way to collect their biometric information. Unlike fingerprint detection, retinal scans or face recognition, speaker recognition just uses a microphone to record a person’s voice thereby circumventing the need for expensive hardware.

Modeling 64

Modeling Testing Machine Learning Measurement 64

DataKitchen

MAY 10, 2021

This has a tremendous impact on data organizations in terms of restoring credibility, improving productivity and agility by eliminating unplanned work, and perhaps equally important, putting the fun back into data science and engineering. Data errors infringe on work-life balance. Data errors also affect careers.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Occam's Razor

SEPTEMBER 19, 2011

You need people with deep skills in Scientific Method , Design of Experiments , and Statistical Analysis. How do you figure out which channels to invest in more and which to kill? How do you figure out if you are spending more money reaching the exact same current or prospective customers multiple times? We have to do Email Marketing.

Measurement 119

Measurement Advertising Testing Marketing 119

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. Because individual observations have so little information, statistical significance remains important to assess.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Domino Data Lab

OCTOBER 2, 2019

We appreciate the permissions to provide the chapter excerpt below as well as place the code within a complementary Domino project. Chapter Introduction: Causal Inference. We’ve introduced [ in the book ] a couple of machine-learning algorithms and suggested that they can be used to produce clear, interpretable results.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. Table of Contents 1) What Is KPI Management?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Insight

MARCH 12, 2020

Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. Interestingly, on the day that Galbraith was discovered to be none other than J.K. author of the Harry Potter series?—?sales sales of Cuckoo’s Calling increased by over 150,000 percent. In other words, Galbraith had chops?—?but

Modeling 59

Modeling Metadata Publishing Sales 59

Rita Sallam

APRIL 2, 2023

For the vendors that participate in the Bake-Off and Show Floor Showdowns, it is in equal measure fun and extremely stressful. For the vendors that participate in the Bake-Off and Show Floor Showdowns, it is in equal measure fun and extremely stressful. And this year’s Bake-Offs did not disappoint! What Data Did We Use?

Optimization 52

Optimization Machine Learning Insurance Risk 52

O'Reilly on Data

MAY 27, 2020

Under school district policy, each of Audrey’s eleven- and twelve-year old students is tested at least three times a year to determine his or her Lexile, a number between 200 and 1,700 that reflects how well the student can read. They test each student’s grasp of a particular sentence or paragraph—but not of a whole story.

Risk 355

Risk Testing Reporting Measurement 355

Insight

MARCH 13, 2020

Learn how the best teams adapt to interviewing while they WFH At Insight , we partner with companies to build and scale their tech teams. In the last few weeks, teams that we work with have been transitioning to remote work to keep their teams safe and do what they can to limit the spread of coronavirus. Interested in more advice?

Scorecard 85

Scorecard Statistics IT Testing 85

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. In observational studies treatment is assigned by nature, therefore its mechanism is unknown and needs to be estimated.

Statistics 44

Statistics Optimization Modeling Experimentation 44

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. For example, imagine a fantasy football site is considering displaying advanced player statistics. Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users.

Experimentation 95

Experimentation Statistics Testing Strategy 95

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. Here, $X$ is a vector of tuning parameters that control the system's operating characteristics (e.g.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

APRIL 21, 2021

In contrast, the decision tree classifies observations based on attribute splits learned from the statistical properties of the training data. Machine Learning-based detection – using statistical learning is another approach that is gaining popularity, mostly because it is less laborious.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Insight

AUGUST 5, 2020

Summary statistics (i.e. Humans show a myriad of explicit and implicit emotional signals in our behaviors. Our facial expression, posture, and even the music we listen to are types of expressions that tell the overarching story of how we feel. My goal was to gain a better understanding of how behavioral signals relate to mood.

Predictive Modeling 98

Predictive Modeling Statistics Modeling Measurement 98

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. Let’s start this journey by looking at a definition.

Visualization 177

Visualization Dashboards Sales Measurement 177

CIO Business Intelligence

JUNE 14, 2022

Whitehall has expressed a desire to move to a buy once, use many times approach to technology as well as ensuring that nationally important systems are resilience tested annually. The missions, each sponsored at permanent secretary level, are in summary: 1. Transformed public services that achieve the right outcomes.

Strategy 106

Strategy IT Digital Transformation Data Processing 106

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. “Most of us need to listen to the music to understand how beautiful it is. datapine is filling your bookshelf thick and fast. Not sure where to start? That’s a colossal number of books on visualization.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. We might be interested in comparing, for example, different subscription offers, different versions of terms and conditions, or different user interfaces. What does it take to estimate the impact of online exposure on user behavior?

Advertising 42

Advertising Testing Sales Statistics 42

Smart Data Collective

JANUARY 31, 2022

Quantitative data provides the statistics of an event on a website in number, while qualitative data highlights a number of reasons the event might take place. The statistics of site visitors can be boosted if the website is Search Engine Optimized (SEO). Understanding the Role of Data-Driven SEO and SEO. According to BANG!,

Data-driven 100

Data-driven Big Data Statistics Optimization 100

The Unofficial Google Data Science Blog

JULY 18, 2023

But humans often disagree, and groups of humans may disagree with each other systematically (say, experts versus laypeople). E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. How do we think about the quality of human ratings, and how do we quantify our understanding is the subject of this post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

APRIL 30, 2018

Can we test different spending levels in that market? Today something complex, advanced, that is most applicable to those who are at the edges of spending money, and thus have an intricate web of internal and external teams to deliver customer engagement and business success. The Marketing Industrial Empire is made up of number of components.

Advertising 117

Advertising Metrics Measurement Insurance 117

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. Introduction. Welcome back to our monthly burst of themes and conferences. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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. This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider as well as collecting, prepping and plotting data. Introduction. questions to ask.

Statistics 59

Statistics Machine Learning Testing Modeling 59

AWS Big Data

JULY 27, 2023

AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in AWS Glue. DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. Create a DataBrew recipe Start by registering the data store for the claims file.

Visualization 86

Visualization Cost-Benefit Data Quality Interactive 86

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Introduction. Welcome back to our monthly burst of themespotting and conference summaries. In mid-July I got to attend Sci Foo , held at Google X. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Cloudera

APRIL 9, 2021

In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. Multiplatform. A recent Harvard Business Review study confirmed that data is increasingly being spread across data centres, private clouds and public clouds. Efficiency. Flexibility.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. There is also a complementary Domino project available. Introduction. Feature Engineering Terminology and Motivation.

Testing 68

Testing Modeling Interactive Measurement 68

Occam's Razor

OCTOBER 24, 2016

Culture is a stronger determinant of success with data than anything else. Including data. People + Process + Structure] > [Data + Technology]. It seems hard to believe. Yet, it is so fantastically true. At least for now. At least until AGI takes over. Why is this formula material? Evolution works. Maybe this metaphor will help make this real.

Metrics 146

Metrics Marketing Optimization Modeling 146

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.

Statistics 27

Statistics Uncertainty Risk Marketing 27

The Unofficial Google Data Science Blog

JULY 31, 2016

At the end of the semester, you administer a proficiency test to the students and compare test performance across the groups. For example, you might compare the average test score among students exposed to the new curriculum to the average score among the controls. However, this is not always the case.

Experimentation 42

Experimentation Testing Measurement Metrics 42