Rocket-Powered Data Science

JULY 7, 2019

Chatbots cannot hold long, continuing human interaction. Traditionally they are text-based but audio and pictures can also be used for interaction. They provide more like an FAQ (Frequently Asked Questions) type of an interaction. Consequently, they can have extended adaptable human interaction. Examples: (1) Games. (2)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

Deep Learning 69

Deep Learning Experimentation Machine Learning Risk 69

FineReport

APRIL 24, 2024

Learn Data Visualization Understanding the Importance of Visualizing Data Data visualization is a powerful tool for conveying complex information in a clear and impactful manner. Whether it’s through charts, graphs, maps, or other visual formats, mastering data visualization is crucial for anyone working with data.

Visualization 52

Visualization Dashboards Interactive Data-driven 52

DataRobot Blog

OCTOBER 18, 2022

We dug into interactive visualizations such as the DataRobot drift drill down plot , where users can investigate the exact feature and time period affected by data drift in a model. Learn more about the DataRobot AI Cloud and the ability to accelerate your experimentation and production timelines. Request a Demo.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. Example: A student is struggling with a complex math concept.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

Smart Data Collective

JULY 9, 2023

Heatmaps are powerful visual tools help show where website visitors pay the most attention. Not only can such patterns create a greater awareness of user interactions, but they can also provide invaluable data on where improvements can be made. Experimentation is the key to finding the highest-yielding version of your website elements.

Optimization 71

Optimization Data Analytics Analytics Data-driven 71

CIO Business Intelligence

APRIL 26, 2023

Experimentation broadens expertise, particularly in a rapidly evolving field like technology where being able to learn many new skills is key to both career and enterprise success, he says. Some people are visual thinkers, while others are more analytical or creative,” Kumar says.

IT 98

IT Experimentation Forecasting Technology 98

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 48

Visualization Interactive Software Experimentation 48

FineReport

DECEMBER 19, 2019

At the same time, it also advocates visual exploratory analysis. The visualization component library of FineReport is very rich. In addition, Jupyter Notebook is also an excellent interactive tool for data analysis and provides a convenient experimental platform for beginners. It can produce a variety of complex reports.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

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 Modeling 52

DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. This flexibility allows you to import your local code into the DataRobot platform and continue further experimentation using the combination of DataRobot Notebooks with: Deep integrations with DataRobot comprehensive APIs.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

DataRobot

JUNE 23, 2021

After adding the preferred code, teams can take advantage of the existing DataRobot capabilities, such as metrics, explainability, visualizations, deployment, monitoring, collaboration, and governance. In data science , the best results come through experimentation. So let’s dig in! Run AutoPilot.

Machine Learning 52

Machine Learning Modeling Experimentation Visualization 52

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.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. Experimentation with different technical analysis services becomes possible. Knowledge organization (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

The Unofficial Google Data Science Blog

JANUARY 16, 2018

Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. However, this assumption no longer holds when samples interact with each other, such as in a network. Figure 4 is a visual representation of these steps.

Testing 58

Testing Experimentation Measurement Modeling 58

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.). We can also plot the observed maximum concentration values and visually inspect the minimum, quartiles, median, and outliers by drug dose. In this tutorial we will use JupyterLab.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

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

Alation

SEPTEMBER 28, 2022

Alation provides robust DataOps solutions that help you foster collaboration, build trusted data solutions, automate testing & monitoring, and visualize data pipelines. Daily Interactions. Technical environments and IDEs must be disposable so that experimental costs can be kept to a minimum. It’s a Team Sport. Self-Organize.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

AWS Big Data

OCTOBER 19, 2023

To learn more, refer to Exploring new ETL and ELT capabilities for Amazon Redshift from the AWS Glue Studio visual editor. or later supports change data capture as an experimental feature, which is only available for Copy-on-Write (CoW) tables. Choose Visual with a source and target. A new visual job configuration appears.

Data Lake 111

Data Lake Data Warehouse Visualization Snapshot 111

Insight

MARCH 12, 2020

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. In other words, if 0.1% Why is this important? Because many recommender systems?—?and and human recommendations?—?suffer

Modeling 59

Modeling Metadata Publishing Sales 59

O'Reilly on Data

JULY 25, 2023

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. graduate in Human-Computer Interaction and now a senior UX (user experience) designer at a top design firm. I just want your help with thinking through UX design.

Consulting 246

Consulting Interactive Software IT 246

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

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

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. If bias is detected, MLOps also provides interactive visualizations to help you diagnose its source. This gap between the demand for AI and its ability to deliver value is clearly unsustainable.

Machine Learning 94

Machine Learning Modeling Experimentation Visualization 94

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

DataRobot Blog

SEPTEMBER 30, 2022

Adoption of AI/ML is maturing from experimentation to deployment. Visualize Data Drift Over Time to Maintain Model Integrity. DataRobot MLOps offers user-friendly visuals to track data drift over time. Model Observability Features. Manage Unpredictability in Active Deployments. Drift Over Time.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52

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. Generate a knowledge graph to visualize the connections and relationships between different entities as a way to help you understand a project, community or ecosystem.

Modeling 95

Modeling Testing Cost-Benefit Experimentation 95

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. I double-dare you not to visualize that cohort!

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

NOVEMBER 25, 2020

Scale to provide 1,000s of researchers frictionless interaction with data. How can users drill down, in non-technical ways, to quickly interact with data that explains what correlations seem to matter? It would enable faster experimentation with easy, protected, and governed access to a variety of data.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

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. You need to have these windows into the data and into your models and be able to test and change them visually.

Management 110

Management Machine Learning Experimentation Metrics 110

Sisense

MAY 18, 2021

When you discover data that means something, you need to be agile enough to make experimental changes.”. Mistake #2: Choosing the wrong data visualization to present your data. Data visualizations are graphic representations of data. We must first know the data to find the visualization that fits.”.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

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

Domino Data Lab

JUNE 10, 2020

The Workspace user experience has been redesigned to make data scientists much more productive when doing interactive exploratory analysis. By allowing data science teams to focus on monitoring of potential “at-risk” models, they have more time for experimentation and problem-solving. In Domino 4.2

Data Science 82

Data Science Enterprise Experimentation Modeling 82

AWS Big Data

NOVEMBER 14, 2023

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. Canva is an online design and visual communication platform.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

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

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

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

It is important to make clear distinctions among each of these, and to advance the state of knowledge through concerted observation, modeling and experimentation. These quasi-explanations usually involve large, real effects and interactions so complex that arguments based on them are often non-falsifiable.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45