DataRobot

APRIL 5, 2021

The uncertainty in her reply piqued my interest. This isn’t a criticism of CIOs, but rather a reminder that AI projects require a broader frame of reference than conventional IT projects. After your new model has been trained and built, business experts perform user acceptance testing and sign off on the model behaviors’ suitability.

Uncertainty 96

Uncertainty Machine Learning Modeling Reporting 96

O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. This has serious implications for software testing, versioning, deployment, and other core development processes. Underneath this uncertainty lies further uncertainty in the development process itself. Models within AI products change the same world they try to predict.

Management 333

Management Machine Learning Experimentation Metrics 333

IBM Big Data Hub

APRIL 18, 2024

AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility. The AGI would need to handle uncertainty and make decisions with incomplete information. What are the types of AGI?

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

Domino Data Lab

FEBRUARY 20, 2019

“The last company I worked for was a very interesting story as well, because I joined the company that had a very good established culture of software development…with tests, with CI/CD, experienced engineers, experienced engineering management, and product management. Unit tests, integration tests, CI/CD, documentation.

Data Science 76

Data Science Testing Software Uncertainty 76

Insight

MAY 15, 2020

In this time of terrifying uncertainty, some might focus on their own career journey over others. Consider providing actionable feedback when you can, or even referring them to at least one person in your network. While on LinkedIn, also keep an eye out for those who are promoting and advocating for their peers.

Uncertainty 76

Uncertainty Data Science Statistics Marketing 76

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

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. We must therefore maintain statistical rigor in quantifying experimental uncertainty. An effect size of 0.2

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Data Science and Beyond

JULY 28, 2017

Hence, Automattic relies heavily on textual channels, and text-based interviews allow the company to test the written communication skills of candidates. The answers were that I’d be joining the data science team, and that the next steps are a pre-trial test, a paid trial, and a final interview with Matt.

Data Science 81

Data Science Testing Measurement Uncertainty 81

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. In this section we’ll discuss how we approach these two kinds of uncertainty with QCQP.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

APRIL 28, 2024

However, new energy is restricted by weather and climate, which means extreme weather conditions and unpredictable external environments bring an element of uncertainty to new energy sources. Carbon neutrality and carbon peak strategies are driving the adoption of new energy worldwide. We need to build grid-based sources, loads and networks.

Interactive 73

Interactive Uncertainty Data Collection IoT 73

The Unofficial Google Data Science Blog

JULY 22, 2020

This post considers a common design for an OCE where a user may be randomly assigned an arm on their first visit during the experiment, with assignment weights referring to the proportion that are randomly assigned to each arm. For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Jet Global

MAY 19, 2020

However, even amid all the uncertainty of the pandemic, change is not a novel concept for successful businesses. Industry-leading CFOs shared their ideas on April 16, 2020, during insightsoftware’s webinar, How to Navigate Your Business Through This Uncertainty. Throughout history, companies have had to transform to thrive.

Uncertainty 98

Uncertainty Risk Management Reporting 98

Depict Data Studio

MAY 12, 2020

Are we including only cases that have been lab confirmed with a swab test that came back positive? The case data is really a function of how many tests are being done. Remember that there’s a lot of uncertainty in the data and it’s not uncertainty that we can represent visually well.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

The Unofficial Google Data Science Blog

JULY 18, 2023

While we can count the number of rods that measure a particular length, we struggle to provide a concrete reference value for something like the liberalness of a particular government. While a measurement like weight seems to be pretty concrete, a variety of factors can introduce uncertainty about the “true value” that you’re measuring.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Data Science and Beyond

JANUARY 7, 2019

Therefore, bootstrapping has been promoted as an easy way of modelling uncertainty to hackers who don’t have much statistical knowledge. For quick reference, here’s a summary of the advice in this post: Use an accurate method for estimating confidence intervals. Use enough resamples – at least 10-15K.

Statistics 77

Statistics Uncertainty Testing Modeling 77

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. A single model may also not shed light on the uncertainty range we actually face. For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

FEBRUARY 1, 2023

Test and learn — the [subject matter experts] are available to be patched back in if there are questions,” Edmunds advises. Like references for prospective employees, positive evaluations give users a feeling of confidence in what they’re signing up for. As work progresses, flexibility is important. Have an open mind.

Consulting 52

Consulting Uncertainty Management Modeling 52

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. Such regions are often referred to as Generalized Market Areas (GMAs) or simply geos. We often refer to this as the Return On Ad Spend (ROAS). They are non-overlapping geo-targetable regions. by turning campaigns off).

Advertising 42

Advertising Testing Sales Statistics 42

Occam's Razor

JULY 12, 2010

In this case measuring "Personable": Engaged in other people's well-being and at peace with expressing your own uncertainty about the world. High Scores in personable use positive emotion words, ask questions, express their own ambivalence and reference others frequently. Better than positive, negative, neutral right?

Analytics 96

Analytics Measurement Metrics KPI 96

O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions. Image Source: Wikimedia Commons.

Statistics 27

Statistics Uncertainty Risk Marketing 27

The Unofficial Google Data Science Blog

MARCH 31, 2016

In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). References [1] Andrew Gelman, and Jennifer Hill. ICML, (2005).

Modeling 40

Modeling Statistics Advertising Testing 40

CIO Business Intelligence

FEBRUARY 12, 2024

As genAI caught fire in 2023, many organizations rushed to test and learn from the technology and harness it to grow productivity and improve processes. You’ll align desired near-term and future states to test-and-learn pilots as well as potential production projects. Even as organizations plan to boost spending on genAI in 2024.

IT 118

IT Consulting Cost-Benefit Uncertainty 118

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Misleading statistics refers to the misuse of numerical data either intentionally or by error. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363

O'Reilly on Data

JUNE 16, 2020

But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. This essay is about how to take a more principled approach to making decisions under uncertainty and aims to provide certain conceptual and cognitive tools for how to do so, not what decisions to make.

Uncertainty 275

Uncertainty Testing Risk Reporting 275