Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Partial Dependence Plots (PDPs).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Smarten

JANUARY 7, 2020

Disparate data sources are integrated into a uniform view, so users can drag and drop data and interact with the tools. 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.

IT 52

IT Business Intelligence ROI Reporting 52

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 86

Forecasting Data Warehouse Machine Learning Modeling 86

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 Metrics Machine Learning Enterprise 49

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

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

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. The drawback of GAMs is that they do not allow feature interactions.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

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

Alation

AUGUST 26, 2021

HBR Review May/June 2017. Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data. 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.

Metadata 64

Metadata Data Governance Dashboards Software 64

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

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! Or something.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66