O'Reilly on Data

JUNE 18, 2024

Publishers (including The New York Times itself, which has sued OpenAI for copyright violation ) argue that works such as generative art and texts compete with the creators whose work the AI was trained on. Copyright reserves to the creator(s) the exclusive right to publish and to profit from their work. We need to achieve both goals.

Advertising 355

Advertising Modeling Publishing Data Processing 355

Analytics Vidhya

MAY 2, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. “Skewness essentially measures the symmetry of the distribution, while kurtosis. The post Shape of data: Skewness and Kurtosis appeared first on Analytics Vidhya.

Measurement 184

Measurement Data Science Publishing Analytics 184

Jet Global

JULY 12, 2023

Editors note: This blog was originally published in October 2013, and has been completely revamped and updated for accuracy, relevancy, and comprehensiveness in September 2019 Prior to the 17th century, data visualization existed mainly in the realm of maps, displaying land markers, cities, roads, and resources.

Visualization 59

Visualization Statistics Scorecard Measurement 59

Smart Data Collective

JUNE 4, 2021

Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. In data science, use linear algebra for understanding the statistical graphs. It is the building block of statistics.

Data Science 103

Data Science Statistics Deep Learning Machine Learning 103

Data Science 101

JANUARY 15, 2020

Reliability: It means measurements should have repeatable results. For eg: you measure the blood pressure of a person. Then after some time, you take the measurement again and there is a huge fluctuation in the result. So instruments should be checked well before taking measurements. Statistics Essential for Dummies by D.

Experimentation 96

Experimentation Statistics Measurement Testing 96

O'Reilly on Data

JUNE 18, 2019

A recent O’Reilly survey found that those with mature AI practices (as measured by how long they’ve had models in production) cited “Lack of data or data quality issues” as the main bottleneck holding back further adoption of AI technologies. business and quality rules, policies, statistical signals in the data, etc.).

Machine Learning 266

Machine Learning Data Quality Statistics Modeling 266

Smart Data Collective

FEBRUARY 14, 2023

Of course, this statistic predates the pandemic. RetailDive recently published an article titled Furniture retailer embraces digital marketing and measures its impact with analytics , which underscores the benefits that analytics offers. The furniture industry is among those relying more heavily on data analytics.

Data Analytics 114

Data Analytics Analytics Advertising Sales 114

Smart Data Collective

MAY 4, 2023

The term was first published in 1999 and gained a solid definition in the early 2000s. It refers to datasets too large for normal statistical methods. Furthermore, many websites have implemented anti-scraping measures to prevent bots from collecting data. Big data has been discussed by business leaders since the 1990s.

Data mining 78

Data mining Big Data Data-driven Measurement 78

datapine

JUNE 7, 2022

From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization. See these graphs originally published by Cogent Legal. Nobody likes feeling manipulated in any way, shape, or form.

Visualization 267

Visualization Metrics Statistics Dashboards 267

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. Uncertainty is a measure of our confidence in the predictions made by a system.

Uncertainty 106

Uncertainty Measurement Metrics Risk 106

O'Reilly on Data

MAY 18, 2020

And last is the probabilistic nature of statistics and machine learning (ML). Because statistics: Last is the inherently probabilistic nature of ML. Data sensitivity also tends to be a helpful measure for the materiality of any incident. First and foremost is the tendency for AI to decay over time.

Risk 362

Risk Modeling Data Processing Software 362

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. How Do You Measure Data Quality? Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

IBM Big Data Hub

APRIL 9, 2024

. “With the data we’ve prepared we can then calculate the odds of a birdie or an eagle from a particular sector; we can also look across to the opposite side of the fairway for contrastive statistics,” says Baughman. We also measure response time since this is a near real-time system.

Management 78

Management IT Machine Learning Metrics 78

Smart Data Collective

OCTOBER 17, 2022

Like any other marketing strategy, you must measure email performance. Transactional data includes first and final purchases, products, number of purchases, date, statistics, typical order value, commodity purchase history, and total spending by a consumer. Digital workers measure almost anything they choose.

Marketing 122

Marketing Optimization Data Analytics Analytics 122

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.

Management 341

Management Machine Learning Experimentation Metrics 341

DataRobot

JULY 6, 2021

In 1992, the Journal of Human Evolution published “ Neocortex size as a constraint on group size in primates ,” which measured the correlation between neocortical volume and typical social group size in primates and human communities. Without computers, banks couldn’t handle trillions of dollars of transactions each year.

Marketing 105

Marketing Sales Data-driven Statistics 105

CIO Business Intelligence

JUNE 26, 2023

To succeed in their role, project managers must be adept at coordinating resources, managing budgets, measuring and tracking project progress, and communicating with team members and stakeholders. In fact, the Bureau of Labor Statistics outlook for project managers is bright.

Management 104

Management Risk Insurance Business Objectives 104

DataRobot

AUGUST 5, 2021

Recently published research addressed the question of “ When Does Uncertainty Matter?: Some participants were also shown the statistical distribution of the potential rental prices against the prediction point estimate. They set high, almost perfectionist expectations for AI. Could the blemish-frame effect apply to talking about AI?

Uncertainty 98

Uncertainty Sales Risk Statistics 98

Jedox

MAY 17, 2022

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. Prior to the dawn of advanced statistical analysis and machine learning, predictive analytics efforts fell into 4 broad categories: Guessing , which is the default that most people revert to. What is Predictive Analytics?

Predictive Analytics 85

Predictive Analytics Finance Analytics Forecasting 85

Smart Data Collective

JUNE 25, 2019

According to a fresh study published in April accuracy. The medical community has long been working to devise truly unbiased and measurable markers. For the research, the team used special statistical/machine learning method. A post from Science Daily recently showed that AI can diagnose PTSD by analyzing voices. New methods.

Technology 83

Technology Statistics Big Data Machine Learning 83

Smart Data Collective

AUGUST 15, 2019

Ultimately, shipping audits allow you to identify measurable savings and discover a greater level of transparency between your current pricing across carriers. According to data published by the Work Institute , employers will pay an estimated $680 billion in turnover costs by 2020. Employee Turnover. Department of Labor.

Big Data 82

Big Data Sales Testing Statistics 82

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

AWS Big Data

APRIL 3, 2024

Visualize AWS Glue Data Quality scores in Amazon DataZone You can now visualize AWS Glue Data Quality scores in data assets that have been published in the Amazon DataZone business catalog and that are searchable through the Amazon DataZone web portal.

Data Quality 101

Data Quality Visualization Metadata Metrics 101

Smart Data Collective

NOVEMBER 25, 2021

It highlights the need for data encryption and other data security measures. First of all, let’s look into some statistics. Unfortunately, the growing reliance of the Internet has left millennials and Generation Y students more vulnerable to data privacy concerns. What Research Shows. and the UK focused on academic institutions.

Big Data 97

Big Data Risk Data-driven ROI 97

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. often without even looking at it. In other words, Galbraith had chops?—?but

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

OCTOBER 17, 2023

This blog post was originally published as editions #305, #306 of my newsletter TMAI Premium. You are measuring a “lower-order metric,” we were solving for an “higher-order metric.” How can you possibly say 350 responses are statistically significant, we have 400,000 visits to our website every day? You go to them.

KPI 60

KPI Metrics Finance Key Performance Indicator 60

IBM Big Data Hub

AUGUST 7, 2023

2,3 When clinical trials are prematurely discontinued due to trial site underperformance, the research questions remain unanswered and research findings end up not published. AI algorithms have the potential to surpass traditional statistical approaches for analyzing comprehensive recruitment data and accurately forecasting enrollment rates.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

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. 3) What Are KPI Best Practices? What happens next?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Sisense

OCTOBER 15, 2020

A sample from the parsed data is displayed before ingestion starts: Schema on read and statistics per field are automatically detected and presented to the user: Step 2: Define stateful transformations. Finally, click “Publish” in the upper right hand corner, and you’re ready to create a dashboard!

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Perceptual Edge

NOVEMBER 13, 2017

Withholding the data that was collected in a research study—the data on which the published findings and claims were based—subverts the essential nature and goals of science. Published research studies should be accompanied by the data sets on which their findings were based—always. You can imagine my shock and dismay.

Recreation/Entertainment 55

Recreation/Entertainment Visualization Statistics Publishing 55

Sisense

MARCH 4, 2019

In order to do this, the system first extracts statistical values (data distribution) from the raw data. We use Normalized Root Mean Squared Error (NRMSE) to measure the model accuracy on a hold out testing set of queries. Once the NRMSE is converged below a threshold, Hunch publishes a cloud API end-point around the DNN.

Big Data 68

Big Data Data Analytics Analytics IoT 68

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

Insight

APRIL 28, 2020

You’ll often see the name “data challenge” used when the take-home assignment involves machine learning or statistics or “coding challenge” when the focus is on evaluating a candidate’s software engineering skills. provide an opportunity to measure both. Length: Highly Variable.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. Conduct validation in the error process—This method measures how good the guesswork was by comparing it to known examples when available.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

O'Reilly on Data

MAY 27, 2020

Using the new scores, Apgar and her colleagues proved that many infants who initially seemed lifeless could be revived, with success or failure in each case measured by the difference between an Apgar score at one minute after birth, and a second score taken at five minutes.

Testing 354

Testing Risk Reporting Measurement 354

O'Reilly on Data

JULY 15, 2019

We should clarify that SR 11-7 also covers models that aren’t necessarily based on machine learning: "quantitative method, system, or approach that applies statistical, economic, financial, or mathematical theories, techniques, and assumptions to process input data into quantitative estimates." Sources of model risk.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38