DataRobot

APRIL 19, 2021

They need data assembly, data science, integration, and visualization skills. Each participant was asked to use these materials to answer a questionnaire, testing their understanding and trust of the visualizations, their ability to detect issues, their confidence in the model, and their assessment of its readiness for deployment.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

The Data Visualisation Catalogue

MARCH 18, 2019

One of the initial examples of a 3D Treemap I found came from the paper Visualization of Software and Systems as Support Mechanism for Integrated Software Project Control. Source: Visualization of Software and Systems as Support Mechanism for Integrated Software Project Control, p. Source: Visualization of File System Hierarchies.

Visualization 47

Visualization Interactive Software Experimentation 47

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. To effectively leverage their predictive capabilities and maximize time-to-value these companies need an ML infrastructure that allows them to quickly move models from data pipelines, to experimentation and into the business. A/B testing).

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

Domino Data Lab

DECEMBER 4, 2020

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). Once all packages have been imported, we can move on to loading our test data. We can then proceed with pharmacokinetic modeling, testing the goodness of fit of various models.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Alation

SEPTEMBER 28, 2022

Automated testing to ensure data quality. Alation provides robust DataOps solutions that help you foster collaboration, build trusted data solutions, automate testing & monitoring, and visualize data pipelines. Daily Interactions. Easy-to-experiment data development environment. Monitoring and reporting of processes.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

datapine

MAY 20, 2020

Finally, we will show you a real-life example so you can get a visual overview and a clearer picture of the points discussed in this article. Professional CRM reporting technologies are interactive, customizable, and offer a wealth of potential when it comes to telling an effective story with your data. Let’s begin.

Dashboards 265

Dashboards Reporting KPI Visualization 265

Insight

MARCH 12, 2020

I tested several different flavors of BERT for use as synopsis classifiers before settling on the DistilBERT model from Hugging Face. After some experimentation, I landed on a strategy I’ll call ‘warm encoding’: if greater than 1% of tags were in a particular class, I encoded the book as belonging to that class, non-exclusively.

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. Testing is another area that tends to get neglected, so automated unit test generation will help you get much broader test coverage.

Modeling 111

Modeling Testing Cost-Benefit Experimentation 111

O'Reilly on Data

JULY 25, 2023

Swift Papers felt like a well-scoped project to test how well AI handles a realistic yet manageable real-world programming task. I also installed the latest VS Code (Visual Studio Code) with GitHub Copilot and the experimental Copilot Chat plugins, but I ended up not using them much.

Consulting 246

Consulting Interactive Software IT 246

DataRobot

SEPTEMBER 14, 2021

And for those that do make it past the experimental stage, it typically takes over 18 months for the value to be realized. Even models that are tested for bias during the development can become biased once in production. If bias is detected, MLOps also provides interactive visualizations to help you diagnose its source.

Machine Learning 94

Machine Learning Modeling Experimentation Visualization 94

Perceptual Edge

AUGUST 26, 2019

Pangilinan wrote chapter 9 of the book, titled “Data and Machine Learning Visual Design and Development in Spatial Computing,” which promotes VR’s usefulness for data visualization. The only examples that Pangilinan includes in the chapter that are potentially useful in VR are scientific visualizations, not data visualizations.

Visualization 52

Visualization Cost-Benefit Interactive Experimentation 52

datapine

FEBRUARY 4, 2020

While your keyboard is burning and your fingers try to keep up with your brain and comprehend all the data you’re writing about, using an interactive online data visualization tool to set specific time parameters or goals you’ve been tracking can bring a lot of saved time and, consequently, a lot of saved money. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

AUGUST 12, 2013

Last Interaction/Last Click Attribution model. First Interaction/First Click Attribution Model. Combine that with the excellent multi-channel conversion visualize (in the Overview section) and you have yourself a view of your marketing that will freak you out. You can visualize the impact of applying three models at one time.

Modeling 161

Modeling Optimization Marketing Interactive 161

Domino Data Lab

MAY 8, 2019

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Sisense

MAY 18, 2021

However, as Deven states, avoiding data insights and going with your gut is like choosing all the wrong answers on a test despite your professor giving you the right ones. When you discover data that means something, you need to be agile enough to make experimental changes.”. Data visualizations are graphic representations of data.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

Occam's Razor

SEPTEMBER 13, 2016

With that as context, you can imagine how heart-broken I was when Jane shared the following visual from a study done by Econsultancy and Lynchpin. Visual perception of information. Ability to create insightful data visualizations. Hypothesis development and design of experimentation. Interpreting mathematical information.

Modeling 127

Modeling Reporting Strategy Consulting 127

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. It is important to make clear distinctions among each of these, and to advance the state of knowledge through concerted observation, modeling and experimentation.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? Background At Google, experimentation is an invaluable tool for making decisions and inference about new products and features. by DANIEL PERCIVAL Randomized experiments are invaluable in making product decisions, including on mobile apps.

Experimentation 62

Experimentation Measurement Modeling Statistics 62

Domino Data Lab

AUGUST 22, 2019

Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Relative to extrinsic evaluations, intrinsic tests are quick. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. What Are The Benefits of Business Intelligence?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214