The Data Visualisation Catalogue

JANUARY 30, 2019

While researching on the Buzz Surrounding VR Data Visualization , I found the most common claim being made was that VR allows for more “Natural” interactions with the data. So, just as you walk around your sofa or computer table, you can literally move around huge volumes of data. Pretty cool, uh?

Interactive 67

Interactive Visualization Big Data Technology 67

CIO Business Intelligence

JANUARY 17, 2024

The latest moves in the process came in 2018 when the brand launched its full end-to-end service capability for packaged research through its digital platform, allowing clients to design, execute, and analyze their own research projects using Ipsos’ experience and resources. js and React.js.

Digital Transformation 116

Digital Transformation Dashboards Reporting Data Science 116

Smarten

FEBRUARY 28, 2019

If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. Augmented data science automates and simplifies analysis with machine learning so implementation, training and adoption of these tools is rapid and successful.

Data Science 40

Data Science IT Machine Learning Predictive Modeling 40

CIO Business Intelligence

MAY 18, 2018

Business intelligence (BI) software is designed to help enterprises discover and visualize their data to drive better business outcomes. To read this article in full, please click here

Business Intelligence 40

Business Intelligence Visualization Data Science Software 40

Business Over Broadway

SEPTEMBER 5, 2018

Their first challenge, the 2018 Call for Code Global Challenge , is a competition that asks developers to create solutions to reduce the deleterious impact of natural disasters on human lives, health, and wellbeing by improving the current state of natural disaster preparedness. Data is the Fuel; Data Science is the Engine.

Data Science 57

Data Science Statistics Advertising Deep Learning 57

Smart Data Collective

JANUARY 27, 2021

A 2018 whitepaper from a team of researchers from the University of Copenhagen in Denmark showed that artificial intelligence modeling was more effective at forecasting trends in market prices than conventional benchmarks. The steps are covered below: You need to collect cryptocurrency data in real-time.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

Domino Data Lab

JUNE 13, 2019

Visually examine the poorest matches, trying to understand what the MNIST authors could have done differently to justify these differences without at the same time changing the existing close matches. 2018 , 2019 ], albeit on a different dataset and in a substantially more controlled setup. The Found MNIST Digits.

Testing 83

Testing Data Science Experimentation Metadata 83

Domino Data Lab

MARCH 6, 2019

Niels Kasch , cofounder of Miner & Kasch , an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference. You may also remember UMBC from the miracle at the 2018 NCAA Tournament.) Introduction.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. Are you ready to take your organization’s data communications skills to the next level? This training program is about classic data visualization principles? Course 1: Data Visualization Design Principles .

Visualization 40

Visualization Consulting Dashboards Reporting 40

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. What if some of these data science tasks could be automated using AI, increasing data science productivity to tackle more AI use cases?

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2) Data Discovery/Visualization. 9) Data Automation.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

SEPTEMBER 18, 2019

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. An appreciation ratio column is added, and the data is cleaned up before visualization.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Octopai

JANUARY 19, 2021

With Octopai’s support and analysis of Azure Data Factory, enterprises can now view complete end-to-end data lineage from Azure Data Factory all the way through to reporting for the first time ever. The post NEW: Octopai Announces Support of Microsoft Azure Data Factory appeared first on Octopai.

Metadata 52

Metadata ROI Optimization Data Quality 52

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. 2018-06-21). ML model interpretability and data visualization. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Insight

MAY 16, 2019

It is a high-level, multifaceted field that allows machines to iteratively learn and understand complex representations from images and videos to automate human visual tasks. Pinterest developed a visual search engine which uses an object detection pipeline for content recommendation.

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

Domino Data Lab

MARCH 16, 2021

2018) Simple meaningless data processing steps, may cause saliency methods to result in significant changes (Kindermans et al., It identifies neurons with high influence and provides visualization techniques to interpret for the concept they represent. This is an exciting and important area of data science research.

Modeling 122

Modeling Deep Learning Testing Optimization 122

Smarten

MARCH 19, 2019

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions: By 2020, augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.

ROI 40

ROI Analytics Cost-Benefit Predictive Modeling 40

Smarten

FEBRUARY 7, 2019

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions: By 2025, a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.

Optimization 40

Optimization Analytics Predictive Modeling Data-driven 40

Smarten

JANUARY 24, 2019

Machine Learning Algorithms allows the system to understand data and applies correlation, classification, regression, or forecasting, or whichever technique is relevant, based upon the data the user wishes to analyze.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? Usually it’s human-generated text, but not always. Cupertino GPE?

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

datapine

OCTOBER 21, 2020

Summing up the product of all this work, the data science team developed a web-based user interface that forecasts patient loads and helps in planning resource allocation by utilizing online data visualization that reaches the goal of improving the overall patients’ care. 2) Electronic Health Records (EHRs).

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. More Policies Emerged” (2010-2018).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Jet Global

AUGUST 14, 2019

Business intelligence solutions are capable of providing simple, accessible analytics and reporting functions for end users, empowering them to find the actionable insights they need with little technical expertise (or formal data science training.) The Future is (Almost) Here.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Sisense

MAY 14, 2019

More than that, Sisense helps transform the entire data workflow, from research and complex analysis to visual data exploration, to building and embedding analytical apps. Only when you have empowered the builders and accelerated access to insights for everyone have you truly democratized big data and analytics.

Data-driven 49

Data-driven Machine Learning Business Intelligence Consulting 49

O'Reilly on Data

MARCH 7, 2019

spaCy Named Entity Visualizer. In a test done during December 2018, of the six engines, the only medical term (which only two of them recognized) was Tylenol as a product. This will often uncover blockers you need to address before involving (and wasting the time of) your data science team. IBM Watson NLU.

Deep Learning 224

Deep Learning Testing Machine Learning Modeling 224

Insight

MARCH 28, 2019

For the Fall 2018 session of the Insight Fellows Program in NYC, we launched a new partnership with Thinknum , a company that provides alternative data indexed from the web to institutional investors and corporations? Utilize information hidden away in online employee reviews. CompanySnapshot?—?Visualize

Dashboards 70

Dashboards Visualization Data Science Machine Learning 70

Jet Global

OCTOBER 2, 2019

Business intelligence solutions are capable of providing simple, accessible analytics and reporting functions for end users, empowering them to find the actionable insights they need with little technical expertise (or formal data science training.) The Future is (Almost) Here.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jen Stirrup

JUNE 20, 2020

In efficient data science, we need to take our biases off the table in order to get a true picture of the data we are looking at. Here is the Current Ratio for the past four years for PASS: Year 2019 2018 2017 2016 Quick Ratio ((Current Assets) / Current Liabilities ) 1.03 Current Ratio.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

Hurwitz & Associates

MAY 21, 2019

New additions include: a Web Console to help administrators more easily manage multiple environments; a Universal Base Image (UBI) to help developers create pre-tested golden images for different container environments; and Insights for analytics on operations data. Microsoft’s 2018 acquisition of the GitHub open-source repository for $7.5

Software 40

Software Enterprise Machine Learning Management 40

Birst BI

MAY 29, 2018

Today, BI vendors are already introducing AI capabilities in their products for data preparation, data discovery, and data science. Data from multiple sources was normally stored in silos, and research was typically presented in a fragmented, disjointed report that was open to interpretation.

Slice and Dice 74

Slice and Dice Analytics Business Intelligence Machine Learning 74

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 221) to 2019 (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Insight

DECEMBER 18, 2019

Lauren Holzbauer was an Insight Fellow in Summer 2018. A visualization of gradient descent. Source: Alec Radford’s post on visualizing optimization algorithms. Get the theory behind neural networks straight once and for all! A 2-layer “vanilla” Neural Network. minimizes the error) and achieves its best guess. Figure 7?—?A

Optimization 85

Optimization Machine Learning Testing Visualization 85

Insight

DECEMBER 30, 2019

Lauren Holzbauer was an Insight Fellow in Summer 2018. Take a look at this animation from Wikipedia to visualize what is happening: Figure 3?—?animation Visualization of a kernel (blue box) sweeping over all of the pixels in an image. Take a look at Figure 6 to visualize what is going on: Figure 6?—?a

Visualization 72

Visualization Modeling Machine Learning IT 72