AWS Big Data

JANUARY 25, 2023

Additionally, with Amazon QuickSight Q , end-users can simply ask questions in natural language to get machine learning (ML)-powered visual responses to their questions. For example, in the following table, we would load all carrier/city combinations nested under Dec 7, 2014 before we can continue querying the next date.

Slice and Dice 78

Slice and Dice Visualization Metrics Dashboards 78

CIO Business Intelligence

DECEMBER 18, 2023

During its long-term collaboration with SAP, Hoffenheim has achieved many things including assessing the health and performance of players, personalizing fan experiences to increase engagement and loyalty, and migrating and optimizing its business processes to a single platform to support international growth.

Sales 52

Sales Finance Optimization Software 52

Sisense

JUNE 9, 2021

And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play. Example of Sisense player performance dashboard.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Sisense

FEBRUARY 24, 2021

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

AWS Big Data

JULY 25, 2023

licensed, open-source search and analytics suite, comprising OpenSearch (a search, analytics engine, and vector database), OpenSearch Dashboards (a visualization and utility user interface), and plugins that provide advanced capabilities like enterprise-grade security, anomaly detection, observability, alerting, and much more.

Cost-Benefit 74

Cost-Benefit Modeling Management Optimization 74

Domino Data Lab

AUGUST 22, 2019

At the time—in 2014—the three were colleagues working. You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. Visualizing data using t-SNE. Example 11.9

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Occam's Razor

NOVEMBER 18, 2014

Like a vast majority on planet Earth, I love data visualizations. A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization. Data visualized is data understood. But for a visual person like me, this is the ah-ha moment.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Domino Data Lab

FEBRUARY 4, 2019

Curiosity as an antidote for a typical enterprise anti-pattern: in the absence of narrative, people make up stories (read: myths) from whatever partial data is at hand that serves the immediate interests(see chapter 2 in Understanding Context by Andrew Hinton (2014). I double-dare you not to visualize that cohort!

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

JANUARY 31, 2022

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. What’s more, visualizing their data helped them see how much revenue a given seat is producing during a season, and compare the different areas of the stadium.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. Joint training, for example, adds an additional “explanation task” to the original problem and trains the system to solve the two “jointly” (see Bahdanau, 2014).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Occam's Razor

FEBRUARY 9, 2015

. + Traffic Trends Key Metrics Analysis. Onsite Behavior Key Metrics Analysis. I tend to use Hitwise a lot less, or not at all, because it is a very hard to use, it is slow, the UX/UI, metrics and reports have not really evolved over the years. Traffic Trends Key Metrics Analysis. Visitor/Audience Type Profile Analysis.

Metrics 155

Metrics Reporting IT Advertising 155

O'Reilly on Data

NOVEMBER 7, 2019

YouTube’s and Facebook’s algorithms for optimizing “engagement” can make any content viral in seconds. Synthetic video is useful for creating and animating Anime characters ; NVidia has used generative adversarial networks (GANs) to create visuals that can be used in video games. That all adds up to a scary picture.

Advertising 150

Advertising Metadata Technology Software 150

Domino Data Lab

SEPTEMBER 9, 2019

Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? The displaCy library provides an excellent way to visualize named entities: In [15]: displacy.render(doc, style="ent"). lemma – a root form of the word. part of speech. for a, b in pairs:?.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110