IBM Big Data Hub

OCTOBER 16, 2023

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Containerization helps DevOps teams avoid the complications that arise when moving software from testing to production.

Data Processing 74

Data Processing Dashboards Metrics Software 74

datapine

APRIL 14, 2022

In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. In 2013, they took a slight risk and introduced a veggie smoothie to their previously fruit-only smoothie menu. Behind the scenes. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

The Data Visualisation Catalogue

MARCH 18, 2019

One of the initial examples of a 3D Treemap I found came from the paper Visualization of Software and Systems as Support Mechanism for Integrated Software Project Control. Source: Visualization of Software and Systems as Support Mechanism for Integrated Software Project Control, p. Source: Visualization of File System Hierarchies.

Visualization 46

Visualization Interactive Software Experimentation 46

The Unofficial Google Data Science Blog

APRIL 23, 2024

Figure 4: Visualization of a central composite design. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. European Control Conference (ECC), pages 3071-3076, 2013. [11] Springer Netherlands, 2013. [16] Domahidi, E.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Insight

MAY 20, 2020

Once you’ve successfully installed Spark on to your cluster, be sure to check out the open-source “Quick Start” guide for a basic walk through of the interactive Spark shell (spark-shell)— which is a great way to learn about Spark commands and test some of its functionality interactively. Companies, such as Looker , use NiFi.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

BizAcuity

MAY 10, 2022

2013: Google launches Google Compute Engine (IaaS), its own version of EC2. Microsoft also releases Power BI, a data visualization and business intelligence tool. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. Fact: IBM built the world’s first data warehouse in the 1980’s.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Jet Global

MAY 1, 2023

Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an I tested several different flavors of BERT for use as synopsis classifiers before settling on the DistilBERT model from Hugging Face. On my test set, this approach resulted in~75–95% accuracy and ~.65 Test Case: Dune Let’s see an example of genre tag prediction in action.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

DECEMBER 3, 2012

It is not just what you do to attract traffic (what most people think of as marketing and advertising), but also what types of experiences you create (something people rarely think is marketing) and how good you are at delivering for where you should be in 2013 rather than 2009 (only the rarest of marketers think with this lens on).

Marketing 147

Marketing Advertising Strategy Optimization 147

Occam's Razor

DECEMBER 9, 2013

One that reflects the customer expectations of 2013. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Go buy a simple A/B testing tool ( Visual Website Optimizer , Optimizely ), go crazy optimizing every little thing to take money from the people who want to give it to you!

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Domino Data Lab

JULY 9, 2019

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion. And it works.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

AUGUST 22, 2019

Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Relative to extrinsic evaluations, intrinsic tests are quick. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

MARCH 27, 2019

Special thanks to Addison-Wesley Professional for permission to excerpt the following “Manipulating data with dplyr” chapter from the book, Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R. While this grouping is not visually apparent (i.e., Introduction.

Statistics 85

Statistics Data Science Visualization IT 85

Occam's Razor

JANUARY 28, 2013

Innocent: Passionate Copy and Heart-warming Visual Design. ~ Innocent: Passionate Copy and Heart-warming Visual Design. AAA's visual experience is substantially better than MetLife. But there is more to the Security Choice landing page than just passing the all-important transparency test. Actually, 3 differences: 1.

Marketing 164

Marketing Insurance Visualization IT 164