IBM Big Data Hub

APRIL 18, 2024

Here are 7 critical skills that current AI struggles with and AGI would need to master: Visual perception: While computer vision has overcome significant hurdles in facial recognition and object detection, it falls far short of human capabilities. The AGI would need to handle uncertainty and make decisions with incomplete information.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

DataRobot

JULY 16, 2021

It’s multidimensional, so to understand accuracy holistically, you need to evaluate it through multiple tools and visualizations. Testing your model to assess its reproducibility, stability, and robustness forms an essential part of its overall evaluation. Recognizing and admitting uncertainty is a major step in establishing trust.

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. These programs and systems are great at generating basic visualizations like graphs and charts from static data. The challenge comes when the data becomes huge and fast-changing.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

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. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

Sisense

JUNE 24, 2020

Every company wants to focus on operational efficiency and protect their revenue against uncertainty. Data and analytics are critical to helping companies measure progress, engage with their customers, and test new innovations that lead to profitability. Performing at your best is amazing, but what about being THE best? (In

Analytics 52

Analytics Cost-Benefit Consulting Strategy 52

Depict Data Studio

MAY 12, 2020

In April, I sat down with Amanda Makulec, one of my longtime data and evaluation friends, to learn about visualizing COVID-19 responsibly. Amanda is the Data Visualization Capability Lead at Excella; a co-organizer for Dataviz DC; and the Operations Director for the Data Visualization Society (DVS). Data Visualization Society.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

Darkhorse

AUGUST 26, 2016

You have devised a number of time-tested shortcuts to deal with uncertainty. You’ll visualize way more. You’ve surrounded yourself with people you trust and you weigh their advice before making major decisions. You put your reputation on the line with every one of these decisions. The eyes are a shortcut to the gut.

Uncertainty 40

Uncertainty Data Quality Modeling Testing 40

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

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Figure 4: Visualization of a central composite design. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. production, default) values.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Jet Global

MAY 18, 2020

In the last few months, this level of thinking has been tested more than ever before. And that’s the last thing you want during in periods of uncertainty where things are changing on a daily basis. Humans are very visually driven, especially in this digitallyled age. A New Look. The skillset in the Office of the CFO is changing.

Finance 64

Finance Reporting Uncertainty Testing 64

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. Don’t compare confidence intervals visually. Confidence intervals are a common way of quantifying the uncertainty in an estimate of a population parameter.

Statistics 77

Statistics Uncertainty Testing Modeling 77

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. As quickly as possible, you want to get designers and data scientists, machine learning folks together and using real data and prototyping and testing.

Management 110

Management Machine Learning Experimentation Metrics 110

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. Often our data can be stored or visualized as a table like the one shown below. In this example we have three features/columns named "a", "b", and "c".

Modeling 40

Modeling Statistics Advertising Testing 40

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

The beliefs of this community are always evolving, and the process of thoughtfully generating, testing, refuting and accepting ideas looks a lot like Science. Note also that this account does not involve ambiguity due to statistical uncertainty. the power grid, a streaming music service, the human body, the weather).

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

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. 4) Misleading data visualization. Whatever the types of data visualization you choose to use, it must convey: – The scales used. But this didn’t come easy.

Statistics 363

Statistics Advertising Visualization Data mining 363

Jet Global

SEPTEMBER 27, 2023

But now more than ever, challenges from both outside and inside organizations are testing your resiliency. Inflation, economic uncertainty, and swiftly-changing regulations significantly impact finance professionals. With Angles, you can: Convert raw data into rich visualizations and easily-accessible dashboards.

Dashboards 52

Dashboards Reporting Operational Reporting Finance 52