Darkhorse

MAY 29, 2020

This has huge implications for data visualization. A clear visual is often maddeningly hard to create. The same thing applies in data science and analytics. The temptation to add features and increase precision is powerful. Em, En, Ee. Consider the two images below, each based on the same dataset.

Visualization 86

Visualization Finance Modeling Data Science 86

Octopai

FEBRUARY 8, 2020

For instance, the mishap board found that en route to Mars, the Orbiter had to make 10 to 14 times more adjustments than engineers anticipated. While some businesses suffer from “data translation” issues, others are lacking in discovery methods and still do metadata discovery manually. They ignored all the warning signs.

Metadata 90

Metadata Key Performance Indicator Unstructured Data Business Intelligence 90

Occam's Razor

JANUARY 8, 2008

For the latter it does not matter what data capture methodology you use on your site, WebLogs or JavaScript Tags. en-US; rv:1.8.1.7) The latest versions of IE also support tab browsing, so the masses are also now using this delightful feature. 111.111.111.111 - - [ 08/Oct/2007:11:17:55 -0400 ] "GET / index.html HTTP/1.1"

Metrics 122

Metrics Measurement Analytics Reporting 122

Insight

JANUARY 14, 2020

Will a network trained with fake data be able to generalize to the real world? I will also discuss how I navigated specific challenges with data gathering. CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC).

Metrics 58

Metrics Optimization Modeling Testing 58

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

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 advised that data scientists ingest business problems, re-frame them as ML tasks, execute on the ML tasks, and then clearly and concisely communicate the results back to the organization.

Data Science 112

Data Science Machine Learning Advertising Modeling 112