Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task. ref: [link].

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Smarten

NOVEMBER 22, 2019

Data literacy focuses on encouraging and nurturing data competencies and making your team members comfortable with the use of analytical tools, technology solutions and data comprehension and presentation, including a comfort level with data collection and analysis, data sharing and data-driven business decisions.

Predictive Modeling 69

Predictive Modeling Data-driven Forecasting Visualization 69

CIO Business Intelligence

JULY 17, 2023

Dickson, who joined the Wisconsin-based company in 2020, has launched PowerInsights, a homegrown digital platform that employs IoT and AI to deliver a geospatial visualization of Generac’s installed base of generators, as well as insights into sales opportunities. I used my partnership with Microsoft to upskill my IT team,” Dickson says. “I

IoT 98

IoT Manufacturing Digital Transformation Sales 98

Sisense

APRIL 10, 2020

R is a tool built by statisticians mainly for mathematics, statistics, research, and data analysis. It’s quite popular for its visualizations: charts, graphs, pictures, and various plots. These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Domino Data Lab

AUGUST 12, 2021

For data, this refinement includes doing some cleaning and manipulations that provide a better understanding of the information that we are dealing with. In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

Darkhorse

JULY 6, 2017

You see, 80% of your working hours will be spent wrangling the data. So what is data wrangling? Let’s imagine the process of building a data lake. Let’s further pretend you’re starting out with the aim of doing a big predictive modeling thing using machine learning. Proceed visually.

Data Lake 74

Data Lake Sales Machine Learning Visualization 74

CIO Business Intelligence

AUGUST 15, 2023

Mugunth Vaithylingam, CIO, College of Southern Nevada College of Southern Nevada Teams overseen by CSN CIO Mugunth Vaithylingam combined custom AI visuals, voice, and content to create this first-of-its-kind custom avatar, which is deployed and rendered from a web browser using client-side CPUs.

IT 98

IT Manufacturing IoT Cost-Benefit 98

IBM Big Data Hub

AUGUST 14, 2023

With QRadar EDR, security analysts can leverage attack visualization storyboards to make quick and informed decisions. With ML analytics models, your organization can gain additional insight into user behavior with predictive modeling and baselines of what is normal for a user.

Cost-Benefit 55

Cost-Benefit Machine Learning Consulting Data mining 55

DataRobot Blog

DECEMBER 1, 2022

Artificial intelligence (AI) can help improve the response rate on your coupon offers by letting you consider the unique characteristics and wide array of data collected online and offline of each customer and presenting them with the most attractive offers. Training and Testing Different AI Models.

Machine Learning 52

Machine Learning Statistics Marketing Sales 52

Jedox

JULY 23, 2019

Once cleansed, its possible to enrich the data. For example a customer name and ID is not as valuable as the customer’s postal code, income bracket or other spending habits which could be enriched from data collected from Google for example. Financial Modeling.

Technology 52

Technology Forecasting Finance Data-driven 52

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., The data collection process should be tailored to the specific objectives of the analysis.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Domino Data Lab

OCTOBER 23, 2019

A further diagnostic step is to plot the predicted values of the linear regression versus the actual values. an lmplot of the predicted and actual is shown, and it is obvious that this isn’t that great a prediction model. R has yet one more way to visualize these relationships in multiple dimensions.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Domino Data Lab

AUGUST 20, 2019

Real-world datasets can be missing values due to the difficulty of collecting complete datasets and because of errors in the data collection process. In a curious twist of events, standardization doesn’t change the overall shape of the data—it may not look the same at first sight, but here’s another take. Discretization.

Testing 68

Testing Modeling Interactive Measurement 68

Domino Data Lab

AUGUST 1, 2021

In this article we’ll use Skater , a freely available framework for model interpretation, to illustrate some of the key concepts above. Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. layer-wise relevance propagation), model distillation (e.g. Partial Dependence Plots (PDPs).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. For example, migrating customer data from an on-premises database to a cloud-based CRM system.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52