Dataiku

OCTOBER 28, 2021

Developing data science workflows can quickly become complex for data scientists and data engineers because of the variety of data sources, processing tools, and the growing number of tasks to be executed.

Data Science 59

Data Science Marketing 59

O'Reilly on Data

DECEMBER 12, 2019

Many non-technological solutions involve promoting a diversity of expertise and experience on data science teams, and ensuring diverse intellects are involved in all stages of model building. [15] 1] “All models are wrong, but some are useful.” — George Box, Statistician (1919 – 2013). [2] If so, have fun debugging! [1]

Machine Learning 285

Machine Learning Modeling Testing Risk Management 285

Dataiku

SEPTEMBER 10, 2021

Since its founding in 2013, Dataiku was built by data scientists and for data scientists. While Dataiku is also a tool for analysts and those that prefer visual interfaces, the platform still offers multiple features and capabilities for data scientists. In one word, yes!

Visualization 69

Visualization Data Science IT 69

Dataiku

MARCH 10, 2020

That’s why since Dataiku was founded in 2013, we’ve been focused not only on creating a best-in-class data science and machine learning platform for democratizing AI via collaboration, but also on creating a world-class team that builds, supports, and promotes Dataiku and its customers.

Machine Learning 13

Machine Learning Data Science IT 13

Smart Data Collective

JUNE 18, 2021

The Challenge uses data from the State of Georgia about persons released from prison to parole supervision for the period January 1, 2013, through December 31, 2015. To receive notices on NIJ’s Recidivism Challenge and data science-related resources, subscribe to email updates.

Predictive Analytics 94

Predictive Analytics Forecasting Analytics Big Data 94

Smart Data Collective

JULY 25, 2019

In the early stages of basketball, there was very little use for data and analytics. Sports, in general, were largely anti-data science simply because it didn’t seem like it could apply to a game. Fast forward to the present day, and data science and data analytics are being used in virtually every single sport.

Analytics 96

Analytics Data Science Data Analytics Risk 96

Smart Data Collective

JANUARY 26, 2021

A good translation company can help you make sense of data from other languages, be it numerical formats or other languages that describe the data. Further, big data itself incorporates working with growing amounts of data these days. It’s overwhelming just how fast our data is growing. That’s just staggering.

Data Architecture 141

Data Architecture Big Data Data Strategy Data-driven 141

Dataiku

MARCH 4, 2021

Since our founding in 2013 and through the growth of the market and of Dataiku itself, we’ve delivered on our vision to connect thousands of people across organizations, unifying our customers’ approach to and ability to execute on data science, machine learning, and AI projects at scale.

Machine Learning 45

Machine Learning Enterprise Data Science Marketing 45

datapine

APRIL 14, 2022

After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. However, the usage of data analytics isn’t limited to only these fields. Download our free summary outlining the best big data examples!

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

Data Science and Beyond

OCTOBER 6, 2014

Data & evaluation The data consists of articles scanned from Greek print media in May-September 2013. Despite not having much time due to travelling and other commitments, I managed to finish 6th (out of 120 teams). This post describes my approach to the problem.

Management 52

Management 52

AWS Big Data

NOVEMBER 14, 2023

Wallapop’s initial data architecture platform Wallapop is a Spanish ecommerce marketplace company focused on second-hand items, founded in 2013. Since its creation in 2013, it has reached more than 40 million downloads and more than 700 million products have been listed. The marketplace can be accessed via mobile app or website.

Data Warehouse 63

Data Warehouse Analytics Testing Cost-Benefit 63

AWS Big Data

AUGUST 7, 2023

Time series data is plottable on a line graph and such time series graphs are valuable tools for visualizing the data. Data scientists use them to identify forecasting data characteristics. For this use case, we use a modified version of the Bike Sharing Dataset (Fanaee-T,Hadi. Bike Sharing Dataset.

Forecasting 98

Forecasting Data Warehouse Machine Learning Modeling 98

Domino Data Lab

DECEMBER 1, 2019

A Survey on Concept Drift Adaptation” ACM Computing Survey Volume 1 , Article 1 (January 2013). Gama, Joao; Zliobait, Indre; Bifet, Albert; Pechenizkiy, Mykola; and Bouchachia, Abdelhamid. “A LeCun, Yann; Corinna Cortes; Christopher J.C. “ The MNIST Database of handwritten digits “ notMNIST dataset.

Machine Learning 77

Machine Learning Modeling Deep Learning Testing 77

AWS Big Data

FEBRUARY 1, 2024

Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET).

Metadata 121

Metadata Modeling Data Processing Unstructured Data 121

Alation

JULY 7, 2022

Two data-driven careers. In 2013 I joined American Family Insurance as a metadata analyst. I was changing careers and had just completed a degree in Library and Information Science. This year, there are more than 900 academic programs offering training in data science. The first was in Madison, Wisconsin.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Timo Elliott

JANUARY 10, 2022

Here in Europe, we have agreed to a 55% reduction in emissions by 2013, which is incredibly ambitious, and I think a lot of people don’t realize the kind of level of systemic change that will require. And that other 45% after 2030 to get to net zero would be even harder to get, which means even more changes.

Data Processing 122

Data Processing Machine Learning Manufacturing Technology 122

Domino Data Lab

APRIL 21, 2021

The data has been collected as part of a research collaboration between Worldline and the Machine Learning Group of Université Libre de Bruxelles. Knowledge and Data Engineering, IEEE Transactions on, 21, 1263-1284. The only intact features are Time and Amount. from imblearn.over_sampling import SMOTE. from sklearn import metrics.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

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. Data scientists spend countless hours wrangling data.

Statistics 85

Statistics Data Science Visualization IT 85

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. Only 3 years later, in 2018 the organization has received a total of 75 million messages.

Machine Learning 50

Machine Learning Internet of Things Data-driven Cost-Benefit 50

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

Brendan McMahan et al, "Ad Click Prediction: a View from the Trenches" , Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013. [3] 4] Bradley Efron, "Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction" , Cambridge University Press, 2013.

KDD 40

KDD Testing Machine Learning Measurement 40

The Unofficial Google Data Science Blog

APRIL 23, 2024

European Control Conference (ECC), pages 3071-3076, 2013. [11] Springer Netherlands, 2013. [16] Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, WSDM ’13, page 123–132, New York, 2013. [28]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Note: Mikolov, T., arXiv:1301.3781].

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

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

Cloudera

APRIL 21, 2022

The DoD/VA team spent four years and $1 billion on a joint records program called iEHR, only to abandon it in 2013 in favor of separate systems (neither one could scale). This was the only way such a huge EHR system was going to work.

Informatics 87

Informatics Metadata Insurance Data Processing 87

IBM Big Data Hub

FEBRUARY 22, 2024

IBM’s Scaled Data Science Method , an extension of CRISP-DM, offers governance across the AI model lifecycle informed by collaborative input from data scientists, industrial-organizational psychologists, designers, communication specialists and others. The CRISP-DM model is useful here.

Metadata 91

Metadata Measurement Risk Modeling 91

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an With breaking this bottleneck in mind, I’ve used my time as an Insight Data Science Fellow to build the AIgent, a web-based neural net to connect writers to representation. Ryan Dalton built The AIgent as a 4-week project during his time as an Insight Data Science Fellow in 2020.

Modeling 59

Modeling Metadata Publishing Sales 59

David Menninger's Analyst Perspectives

JANUARY 29, 2025

Founded in 2013, Databricks initially gained prominence for its cloud-based Apache Spark services, aimed at enhancing big data processing and creating an alternative to MapReduce. In 2013, the project was donated to the Apache Software Foundation.

IT 147

IT Dashboards Unstructured Data Big Data 147