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. Data Collection The AIgent leverages book synopses and book metadata.

Modeling 59

Modeling Metadata Publishing Sales 59

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

Ontotext

FEBRUARY 14, 2024

It is a demonstrator designed to showcase a field in which Ontotext has built a number of solutions applying semantic technology to enhance publishing content and editorial workflows. This makes it an effective and cost-efficient system for extracting entities from large-scale data collections.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

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. These insights can help drive decisions in business, and advance the design and testing of applications.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

AWS Big Data

MARCH 13, 2024

Developers can use the support in Amazon Location Service for publishing device position updates to Amazon EventBridge to build a near-real-time data pipeline that stores locations of tracked assets in Amazon Simple Storage Service (Amazon S3). You can test this solution yourself using the AWS Samples GitHub repository.

Analytics 96

Analytics IoT Metadata Internet of Things 96

O'Reilly on Data

MARCH 31, 2020

The model outputs produced by the same code will vary with changes to things like the size of the training data (number of labeled examples), network training parameters, and training run time. This has serious implications for software testing, versioning, deployment, and other core development processes.

Management 332

Management Machine Learning Experimentation Metrics 332

Ontotext

APRIL 4, 2019

Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested. Milena Yankova : What we did for the BBC in the previous Olympics was that we helped journalists publish their reports faster. I think artists can relax.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

datapine

FEBRUARY 9, 2024

It’s our consumer demands that are communicated to businesses via KPI examples , dictating how the brands or businesses craft and develop the content they publish. It is important to think deeply and collectively about best practices to manage KPIs. Your Chance: Want to test a KPI management software for free?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Insight

JANUARY 14, 2020

In short, I was faced with two major difficulties regarding data collection: I didn’t have nearly enough images, and the images I did have were not representative of a realistic gym environment. And the winner is… Both implementations of our gym equipment classifier achieved 99% accuracy on the test set.

Metrics 58

Metrics Optimization Modeling Testing 58

Occam's Razor

OCTOBER 15, 2012

Please visit the about page to learn more about the data collection methodology, sample sizes, and the Enumeration study to ensure results are representative, and to download the detailed questionnaires used for each study. Think of it as attribution modeling. :).

Advertising 136

Advertising Marketing Strategy Insurance 136

CIO Business Intelligence

SEPTEMBER 22, 2023

How to choose which DMP is right for your organization While each organization will have its own unique needs, a number of common factors are important to keep in mind when selecting a data management platform. The platform’s data collection, storage, scalability, and processing capabilities will also weigh heavily in making your choice.

Management 105

Management Advertising Data Lake Sales 105

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. Experimentation & Testing (A/B, Multivariate, you name it). What ideas to test first on your site? Thrilled is perhaps understating it, I am giddy like a schoolgirl. There I said it. Qualitative and quantitative.

Analytics 60

Analytics Metrics Marketing Dashboards 60

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Here’s where I get baffled by people who use words such as agile or lean to describe process for data science.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Depict Data Studio

MAY 12, 2020

Amanda said, “There are different points in which we make decisions about how and what we visualize, and then how we publish and share. Amanda went through some of the top considerations, from data quality, to data collection, to remembering the people behind the data, to color choices.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

CIO Business Intelligence

JUNE 9, 2022

Advertisers use OnAudience to build an understanding of their audience from data collected from multiple sources. Its platform supports both publishers and advertisers so both can understand which creative work delivers the best results. One common way to test market sentiment is to gather information directly from customers.

Management 144

Management Advertising Data Lake Sales 144

AWS Big Data

JULY 13, 2023

Enable QuickSight in your data collection account. Follow the steps in Centralized view of support cases opened from multiple AWS accounts using AWS Systems Manager to establish Systems Manager Explorer and create a resource data sync for data aggregation. Choose Edit/Preview data. Choose Publish & Visualize.

Dashboards 72

Dashboards Visualization Interactive Management 72

Domino Data Lab

MAY 20, 2021

Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. Their tests are performed using C4.5-generated 1988), E-state data (Hall et al., Morgan Kaufmann Publishers Inc. Chawla et al.,

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Data Science and Beyond

JUNE 2, 2017

Last year, I wrote about the Reef Life Survey (RLS) project and my experience with offline data collection on the Great Barrier Reef. Since publishing that post, I have improved the flashcards and built a tool for exploring the aggregate survey data. The RLS manual includes all the details on how surveys are performed.

Data Collection 58

Data Collection Testing Data Processing IT 58

O'Reilly on Data

OCTOBER 18, 2022

While there are many interesting and useful benchmark datasets for testing bias in natural language processing, none provided these types of exhaustive demographic labels. If your organization wants to measure bias quantitatively, you’ll probably need to test data with demographic labels. More are published all the time.

Risk Management 291

Risk Management Risk Testing Measurement 291

The Unofficial Google Data Science Blog

JULY 18, 2023

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. Both published articles in the same volume of the British Journal of Psychology.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

FEBRUARY 22, 2010

These toolbars also collect limited information about the browsing behavior of the customers who use them, including the pages visited, the search terms used, perhaps even time spent on each page, and so forth. Typically, data collected is anonymous and not personally identifiable information (PII). 6: Self-reported Data.

Metrics 123

Metrics Advertising Reporting Software 123

Domino Data Lab

MARCH 3, 2019

This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees. We had big surprises at several turns and have subsequently published a series of reports. Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI (Jan 2019).

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

datapine

AUGUST 29, 2022

Due to this book being published recently, there are not any written reviews available. 4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. and this book will give you an insight into their data collecting procedures and the reasons behind them.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. We must correct for multiple hypothesis tests. We ought not dredge our data.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Smart Data Collective

JULY 2, 2019

At Smart Data Collective, we strive to have a balanced conversation about the impact of big data. There are obviously a lot of beneficial changes that big data has spurred. However, big data has also created some important challenges as well, which we feel duty-bound to discuss.

Big Data 77

Big Data ROI Testing Statistics 77

Depict Data Studio

APRIL 16, 2019

I worked on a longitudinal study about adolescent development (scheduling participants to come in for data collection interviews, entering data, transcribing interviews, and playing on SAS). The goal was clear: Do amazing research and try to get some of those papers published in peer-reviewed journals.

Visualization 56

Visualization Reporting Statistics Dashboards 56

Occam's Razor

APRIL 29, 2013

PS: The phrase "real-time data analysis" is an oxymoron. Real-time data is super valuable if zero human beings are involved from data collection to action being taken. Eight Silly Data Things Marketing People Believe That Get Them Fired. PPS: I've mentioned one exception in the past.

Marketing 166

Marketing Metrics Advertising Measurement 166

Andrew White

MARCH 31, 2023

All data sets, analytics and models should be products and published to an analytics catalog or marketplace. You know the one – it goes something like data discovery, data collection, data clean up, modeling, testing, output, tune etc. Products are things. Product management is a practice.

Analytics 40

Analytics Marketing Visualization Data-driven 40

Jet Global

JUNE 30, 2021

From day-to-day operational finances to large capital expenditure (CAPEX) budgeting, here are the financial KPIs that the CEO should be keeping an eye on: Quick Ratio (acid test) : CEOs are often put in a position in which they need to quickly check the company’s financial health. More often than not, a CEO will use the quick ratio for this.

Metrics 106

Metrics KPI Dashboards Advertising 106

Jet Global

NOVEMBER 29, 2023

Understanding Our Financial Close and Consolidation Solutions Here are our six tried and tested close and consolidation products that secured us in the Niche Player category. It provides advanced capabilities for data collection, compliance, and reporting, helping your organization ensure accuracy and efficiency in your tax processes.

Reporting 52

Reporting Marketing Software Management 52

Occam's Razor

OCTOBER 12, 2017

The first two are from editions of my newsletter, The Marketing – Analytics Intersect (it goes out weekly, and is now my primary publishing channel, sign up!). When you go to the interview, the hiring company will proceed to ask questions that test your competency in the listed job requirements. The post has three clusters of advice.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Jet Global

MAY 1, 2023

Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. While data exports may satisfy a portion of your customers, there will be many who simply want reports and insights that are available “out of the box.”

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52