Jen Stirrup

JUNE 20, 2020

In efficient data science, we need to take our biases off the table in order to get a true picture of the data we are looking at. I have visualized the data below so you can see it below. If the starting point of your analysis goes something like ‘How much money does C&C take from the community?’

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

Hurwitz & Associates

MAY 21, 2019

New additions include: a Web Console to help administrators more easily manage multiple environments; a Universal Base Image (UBI) to help developers create pre-tested golden images for different container environments; and Insights for analytics on operations data. A Closer Look at OpenShift 4.

Software 40

Software Enterprise Machine Learning Management 40

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins also indicated that data science, data engineering, and data analysis are different groups at The New York Times. Data science. Session Summary.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Sisense

FEBRUARY 24, 2021

But that number rose sharply afterwards, with the team noting there were over 1,000 people in this role by 2015. Clearly, data is becoming more important to organizations. In this article, we explore the role and responsibilities of the chief data officer and the challenges they are facing. The role of the chief data officer.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Rita Sallam

JULY 31, 2017

Machine learning automation is affecting all of enterprise software, but will completely transform how we build, analyze, and consume data and analytics. Over the past 10 years or more, visual-based data discovery tools (e.g. Augmented Analytics is the Future of Data and Analytics. IBM Cognos, SAP BusinessObjects).

Marketing 72

Marketing Analytics Machine Learning Data Science 72

Octopai

JANUARY 19, 2021

With Octopai’s support and analysis of Azure Data Factory, enterprises can now view complete end-to-end data lineage from Azure Data Factory all the way through to reporting for the first time ever. About Octopai: Octopai was founded in 2015 by BI professionals who realized the need for dynamic solutions in a stagnant market.

Metadata 52

Metadata ROI Optimization Data Quality 52

Insight

DECEMBER 30, 2019

LeNet-5: A classic CNN architecture Since LeNet-5, there have been many different CNN architectures developed over the years, such as AlexNet (2012), GoogLeNet (2014), VGGNet (2014), and ResNet (2015). Take a look at this animation from Wikipedia to visualize what is happening: Figure 3?—?animation a “warped wall detector.”

Visualization 72

Visualization Modeling Machine Learning IT 72

Insight

JUNE 10, 2019

Photo by Wayne Chan on Unsplash The race to the future I don’t know about you, but I distinctly remember a promise from 1989 that flying cars would be commonplace by 2015. Below is a visualization of this approach for the example area I provide in my video demo. Below is a visualization of the results.

Breakeven 69

Breakeven Modeling Testing Marketing 69

The Unofficial Google Data Science Blog

APRIL 23, 2024

Figure 4: Visualization of a central composite design. G - Reference, Information and Interdisciplinary Subjects Series, Harvard Business Review Press, 2015. [9] Brazilian Journal of Probability and Statistics, 29(1):53 – 70, 2015. [21] Central composite designs are made of three parts. production, default) values. Domahidi, E.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. Introduction Time series data appear in a surprising number of applications, ranging from business, to the physical and social sciences, to health, medicine, and engineering.

Forecasting 64

Forecasting Statistics Modeling Software 64

The Unofficial Google Data Science Blog

MARCH 31, 2016

Often our data can be stored or visualized as a table like the one shown below. arXiv preprint arXiv:1506.04416 (2015). [6] Applied Stochastic Models in Business and Industry, 31 (2015): 37-49. In this example we have three features/columns named "a", "b", and "c". 5] Anoop Korattikara, et al. Bayesian dark knowledge."

Modeling 40

Modeling Statistics Advertising Testing 40

Domino Data Lab

AUGUST 1, 2021

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. 2015) for additional details. Partial Dependence Plot is another visual method, which is model agnostic and can be successfully used to gain insights into the inner workings of a black-box model like a deep ANN. See Wei et al. References.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Alation

FEBRUARY 20, 2020

With the year coming to a close, many look back at the headlines that made major waves in technology and big data – from Spark to Hadoop to trends in data science – the list could go on and on. Organizations with software enabling such data democratization and drill-down will excel.

Data Warehouse 52

Data Warehouse Visualization Enterprise Data Science 52

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? Usually it’s human-generated text, but not always. Cupertino GPE?

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110