Rita Sallam

NOVEMBER 11, 2016

The vision revealed in the keynote had an unmistakable emphasis on the enterprise, but as the market for visual-based data discovery is mainstreaming, Tableau also laid a foundation for building a next generation, ‘smart’ BIA platform. What’s on Deck for 2017? This new engine will replace the.TDE by end of 2017. Time will tell.

Visualization 49

Visualization Machine Learning Metrics Enterprise 49

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 Data Science Visualization 110

Decision Management Solutions

JUNE 4, 2021

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). 1 MIT Sloan Management Review September 06, 2017. Focusing on decision-making changes everything.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

Data Science 101

MAY 6, 2019

I think in physics one of the things that attracted me most to the field that I studied, which was particle physics, was the ability to leverage computer science mathematical modeling and data visualization to solve big questions. If the recruiter feels like that’s unnecessary, they may move you directly to an onsite. it’s not cheating.

Data Science 98

Data Science Machine Learning Modeling Testing 98

AWS Big Data

AUGUST 7, 2023

to create forecast tables and visualize the data. Time series data is plottable on a line graph and such time series graphs are valuable tools for visualizing the data. The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job. In our case, we use Amazon Redshift Query Editor v2.0

Forecasting 98

Forecasting Data Warehouse Machine Learning Modeling 98

Depict Data Studio

SEPTEMBER 13, 2023

Grant Deliverables In this blog post , you’ll see how Josephine Engels did need to start from scratch — she was visualizing these metrics for her organization for the first time — and then made several dashboards to track grant deliverables. Adapt one of these dashboards instead.

Dashboards 52

Dashboards Visualization Snapshot Data-driven 52

Smarten

JANUARY 7, 2020

Every business understands the value of objective metrics and accurate analysis and the modern BI environment is designed to support these goals at every level of the organization. How is Modern BI Different From Traditional BI?

IT 52

IT Business Intelligence ROI Reporting 52

Smarten

NOVEMBER 22, 2017

These tools allow the enterprise to establish and monitor key metrics and to objectively assess results. Self-Serve Advanced Analytics provides a roadmap to guide you through a maze of organizational data with tools and models that will bring together data from disparate sources and enable sophisticated yet simple analytics.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Smarten

JANUARY 17, 2019

They can simply enter a search query in natural language and the system will translate the query, and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions.

Enterprise 40

Enterprise Analytics Forecasting Sales 40

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 111

Machine Learning Deep Learning Modeling Interactive 111

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. Model performance is evaluated on aggregated metrics of individual tasks.

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

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., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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. Source: “What’s Your Data Strategy?” by Leandro DalleMule and Thomas H. Data Intelligence and Metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MAY 27, 2021

However, fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer increases day by day: Discoverer extended support ended June 2017. Reporting and visual analysis. Hubble delivers significant benefits to the team, helping us understand key spend metrics.”.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

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

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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. Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Courville, Pascal Vincent, Visualizing Higher-Layer Features of a Deep Network, 2009.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. Current Ratio. Let me draw that out for you.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

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!

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

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 125

Visualization Strategy Interactive Statistics 125