datapine

SEPTEMBER 11, 2019

billion , growing at a CAGR of 26.98% from 2016. They decided to implement business intelligence into their operations to be able to monitor real-time data, ensure employees have access to marketing and sales analytics and use a dashboard builder to visualize all their business information. 6) Streaming Internal Processes.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

Rita Sallam

NOVEMBER 11, 2016

As a long-time observer and some would say that stern 1 st grade teacher of Tableau since its early childhood, it is clear to me that Tableau has now put on its big girl pants – and Tableau 2016, its annual user conference, with more than 13,000 attendees was Tableau’s coming of age party. What’s on Deck for 2017? Enterprise Features.

Visualization 49

Visualization Metrics Machine Learning Enterprise 49

Smart Data Collective

MAY 31, 2023

The most important thing to do at the beginning is to know which metrics to focus on. Instagram introduced stories in 2016 , and till then, it has become a fantastic marketing tool. Here are a few examples of how stories encourage comments: IG stories are visually appealing and easy to consume. It is crucial for Stories.

Marketing 77

Marketing Data Analytics Analytics Interactive 77

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Alexander | June 1, 2016 Training a c onvolution neural network (CNN) to spot helipads The solution I developed rests on retraining a CNN to recognize helipads in aerial images.

Breakeven 69

Breakeven Modeling Testing Marketing 69

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. It was lately revised and updated in January 2016.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

OCTOBER 23, 2019

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. One of the things this data set doesn’t have, however, is a single metric to rank both offensive and defensive performance in a single statistic.

Statistics 59

Statistics Machine Learning Testing Modeling 59

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

As a result, selecting knots according to the quantiles of the input data (or even linearly across the domain), and then steadily increasing their number as long as the metrics improve works well in practice. More knots make the learned feature transformation smoother and more capable of approximating any monotonic function. Pfeifer, J.,

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Domino Data Lab

AUGUST 22, 2019

Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. The contemporary leading alternative to both word2vec and GloVe is fastText. Note: The open-source fastText library is available at fasttext.cc. Joulin, A., Bag of tricks for efficient text classification.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

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 70

Cost-Benefit Modeling Management Optimization 70

Depict Data Studio

APRIL 10, 2023

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. If so, this step-by-step data visualization guide is for you!

Visualization 105

Visualization Dashboards Testing Reporting 105

Domino Data Lab

AUGUST 1, 2021

2016) for an example of this technique (LIME). Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Depict Data Studio

SEPTEMBER 15, 2020

In 2016, I met evaluator extraordinaire Dana Wanzer at a national conference. On her podcast, we talked about my unexpected shift from being an evaluator to a data visualization designer, along with my tips getting started working for yourself or teaching online. My specialty, though, is data visualization.

Visualization 105

Visualization Consulting Dashboards Reporting 105

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. 6: Turbocharging Data Visuals with Storytelling.

Visualization 124

Visualization Strategy Interactive Statistics 124