BizAcuity

NOVEMBER 27, 2019

It allows users to interact with information without involving any IT professionals. It is widely used for modeling and structuring of unshaped data. It helps in transforming enterprise data into rich visuals. However, migration from SSRS 2017 has some issues with the PBI RS server. It can process a large amount of data.

Recreation/Entertainment 52

Recreation/Entertainment Reporting Interactive Data Processing 52

BizAcuity

NOVEMBER 27, 2019

It allows users to interact with information without involving any IT professionals. It is widely used for modeling and structuring of unshaped data. It helps in transforming enterprise data into rich visuals. However, migration from SSRS 2017 has some issues with the PBI RS server. It can process a large amount of data.

Recreation/Entertainment 52

Recreation/Entertainment Reporting Interactive Data Processing 52

IBM Big Data Hub

MARCH 8, 2024

The ecosystem has become more complex as business models advance and new ecommerce trends appear. In the constantly shifting, rapidly expanding ecommerce ecosystem, businesses must think creatively about their digital strategies and how best to create dynamic, interactive shopping experiences that improve customer relationships.

Consulting 84

Consulting Marketing Sales Data Processing 84

datapine

MAY 11, 2022

“By visualizing information, we turn it into a landscape that you can explore with your eyes. 90% of the information transmitted to the brain is visual. Data visualization methods refer to the creation of graphical representations of information. That’s where data visualization comes in. A sort of information map.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Smarten

JANUARY 3, 2019

Citizen Analysts create and generate data models and use sophisticated analytics that are supported by easy-to-use interactive BI dashboards. By definition, Citizen Analysts are not data scientists, or professional analysts or IT staff. How Can Citizen Analysts Improve Your Organization?

Business Intelligence 40

Business Intelligence Statistics Interactive Data Science 40

Rita Sallam

AUGUST 17, 2016

The platform then automatically finds, visualizes and narrates important findings or the story in the data such as correlations, exceptions, clusters, links and predictions that are relevant to them without requiring them to build models, or write algorithms. Why BeyondCore is Disruptive.

Scorecard 40

Scorecard Visualization Sales Marketing 40

O'Reilly on Data

FEBRUARY 18, 2020

Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. After several years of steady climbing—and after outstripping Java in 2017—Python-related interactions now comprise almost 10% of all usage. Not necessarily: Java-related searches increased by 5% between 2017 and 2018. Coincidence?

Data-driven 331

Data-driven Software Statistics Marketing 331

Domino Data Lab

JANUARY 6, 2019

Also, clearly there’s no “one size fits all” educational model for data science. Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. The Berkeley model addresses large university needs in the US.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. billion in 2017 to $190.61 Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Adrian Weller (2017-07-29). “

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Interactive Data Visualization in Python. Introduction. fill=True,).:

Visualization 99

Visualization Interactive Machine Learning Data Science 99

O'Reilly on Data

JULY 25, 2023

I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming. Here’s how I worked on it: I subscribed to ChatGPT Plus and used the GPT-4 model in ChatGPT (first the May 12, 2023 version, then the May 24 version) to help me with design and implementation.

Consulting 245

Consulting Interactive Software IT 245

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Insight

DECEMBER 30, 2019

In Figure 1, you can see the results of the Harris corner detector applied to an image of Jessie Graff competing in the 2017 American Ninja Warrior Finals: Figure 1?—?Harris Harris corner detection applied to an image of Jessie Graff competing in the 2017 American Ninja Warrior Finals. Original image is on the left.

Visualization 72

Visualization Modeling Machine Learning IT 72

Smarten

JANUARY 7, 2020

Disparate data sources are integrated into a uniform view, so users can drag and drop data and interact with the tools. BI dashboards are more flexible and support personalization. They are no longer restricted to formats and delivery designed by IT.

IT 52

IT Business Intelligence ROI Reporting 52

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? I double-dare you not to visualize that cohort! Or something.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

OCTOBER 23, 2019

This chapter will explore the numbers behind the numbers using ML and then creating an API to serve out the ML model. This means covering details like setting up your environment, deployment, and monitoring, in addition to creating models on clean data. Phrasing the Problem. questions to ask. Gathering the Data. In Figure 6.1,

Statistics 59

Statistics Machine Learning Testing Modeling 59

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Occam's Razor

JULY 13, 2017

In service of that belief, there are few things that bring me as much joy as visualizing data (smart segmentation comes close). While I am partial to the simplest of visualizations in a business data context, I love a simple Bar Chart just as much as a Chord or Fisher-Yates Shuffle. 4: Interactivity With Insightful End-Points.

Visualization 124

Visualization Strategy Interactive Statistics 124

Alation

AUGUST 26, 2021

HBR Review May/June 2017. Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data. These future-oriented models are used to make predictions. AI and ML are used in concert to predict possible events and model outcomes. Source: “What’s Your Data Strategy?”

Metadata 64

Metadata Data Governance Dashboards Software 64

Domino Data Lab

SEPTEMBER 9, 2019

We have configured the default Compute Environment in Domino to include all of the packages, libraries, models, and data you’ll need for this tutorial. That nlp variable is now your gateway to all things spaCy and loaded with the en_core_web_sm small model for English. Getting Started. lemma – a root form of the word.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110