Data Insight

FEBRUARY 7, 2019

By Carmen Vicelich, Data Insight CEO A round-up of thoughts and top trends from the NZ Marketing Association’s ‘Smarter Data 2017’ conference. This was further reinforced at the Marketing Association’s sell-out ‘Smarter Data’ event which I had the privilege of chairing on the 11th April 2017.

Machine Learning 40

Machine Learning Testing Marketing Measurement 40

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

AUGUST 1, 2021

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. In IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pages 24–30, Melbourne, Australia, 2017.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Smarten

SEPTEMBER 6, 2019

SSDP allows average business users to compile and prepare data and use that data in analytics to test hypotheses, visualize and share data, prepare reports and support day-to-day tasks with complete drill-down and drill-through capability, custom alerts and mobile access that supports the needs of every team member.

Analytics 51

Analytics IT Business Intelligence Testing 51

Domino Data Lab

MAY 20, 2021

This renders measures like classification accuracy meaningless. Figure 3 shows visual explanation of how SMOTE generates synthetic observations in this case. note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). Machine Learning, 57–78.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Ontotext

MAY 18, 2020

The capacity and performance of supercomputers is measured with the so-called FLOPS (floating point operations per second). As of 2017, the fastest computers have reached a speed of 93 PetaFLOPS, which is: 93×1015, or 93,000,000,000,000,000 operations per second.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Smarten

AUGUST 9, 2017

You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L. If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery.

Analytics 40

Analytics IT Statistics ROI 40

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

Insight

OCTOBER 25, 2019

Three views for Object 12: CAD model as visualized by Microsoft’s Print 3D software (left). Pipeline 1: Data Augmentation + Bag of Visual Words The first pipeline is relatively straightforward and can be considered our benchmark for performance. The first one serves as a baseline for performance.

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

The Unofficial Google Data Science Blog

MARCH 13, 2017

A note on visualization The most convenient way to inspect our feature importances (attributions) is to visualize them. To window the image, we take an element-wise product of the window with the pixel values and visualize the resulting image. We do this by using the attributions as a (soft) window over the image itself.

IT 68

IT Visualization Modeling Uncertainty 68

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. 05) in predicting changes in attendance.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Domino Data Lab

AUGUST 8, 2019

Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. 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? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

APRIL 3, 2019

Network security mushrooms with VPNs, IDS , gateways, various bump-in-the-wire solutions, SIMS tying all the anti-intrusion measures within the perimeter together, and so on. See also the paper “ The Case for Open Metadata ” by Mandy Chessell (2017–04–21) at IBM UK for compelling perspectives about open metadata. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

DataRobot Blog

APRIL 1, 2018

In Rita Sallam’s July 27 research, Augmented Analytics , she writes that “the rise of self-service visual-bases data discovery stimulated the first wave of transition from centrally provisioned traditional BI to decentralized data discovery.” 1) People and machines come together to create a more powerful and agile experience.

Analytics 40

Analytics IoT Internet of Things B2B 40

Business Over Broadway

DECEMBER 20, 2018

Data Science/Analytics Tools, Technologies and Languages used in 2017. A recent survey by Kaggle revealed that data professionals used data visualization, logistic regression, cross-validation and decision trees more than other data science methods in 2017. Data Science/Analytics Tools, Technologies and Languages used in 2017.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

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

CIO Business Intelligence

APRIL 12, 2022

15 the data visualization specialist acquired Narrative Science, which describes itself as a leader in data storytelling technologies. 7 Alteryx snapped up a small Australian SaaS company, Hyper Anna, to add more AI-driven visualizations and reporting features to its analytics automation platform. Tableau buys Narrative Science.

Enterprise 143

Enterprise Technology Consulting Software 143

Alation

AUGUST 26, 2021

HBR Review May/June 2017. BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. Once you’ve got the software, it’s time to test it out, assigning key roles and measuring progress.

Metadata 64

Metadata Data Governance Dashboards Software 64