DataRobot

JUNE 24, 2021

The complexity of bringing together these assets to provide a real-time and comprehensive view of the retail ecosystem is insurmountable for most organizations. The complexity of bringing together these assets to provide a real-time and comprehensive view of the retail ecosystem is insurmountable for most organizations.

Forecasting 52

Forecasting Machine Learning Modeling Dashboards 52

Alation

MARCH 21, 2023

Organizations in the travel and tourism vertical use big data and analytics to find patterns in structured and unstructured data that allow them to make informed business decisions. What are common data challenges for the travel industry? What is big data in the travel and tourism industry? What types of data are collected?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

FEBRUARY 8, 2022

Data mesh inverts the common model of having a centralized team (such as a data engineering team), who manage and transform data for wider consumption. In contrast to this common, centralized approach, a data mesh architecture calls for responsibilities to be distributed to the people closest to the data.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Ontotext

FEBRUARY 16, 2023

This uses natural language processing (NLP) techniques to perform information extraction across unstructured content and store it in a structured form. A human benchmark dataset is also called “quality baseline”, “gold standard corpus”, “ground truth”, etc. What Is A Human Benchmark? You can read more about it in this blog post.

Metadata 59

Metadata Measurement Metrics Modeling 59

Domino Data Lab

JUNE 10, 2020

We’re introducing groundbreaking new features – including On-demand Spark clusters, enhanced project management, and the ability to export models – that give enterprises unprecedented power to scale their data science capabilities by addressing common struggles. I’m also proud to announce an exciting new product: Domino Model Monitor (DMM).

Data Science 82

Data Science Enterprise Experimentation Modeling 82

The Unofficial Google Data Science Blog

JULY 18, 2023

by MICHAEL QUINN, JEREMY MILES, KA WONG As data scientists, we often encounter situations in which human judgment provides the ground truth. Overview Human-labeled data is ubiquitous in business and science, and platforms for obtaining data from people have become increasingly common. Some of this data is human-labeled.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

The Unofficial Google Data Science Blog

AUGUST 27, 2019

There is a wide range of policy violations , from spammy videos, to videos containing nudity, to those with harassing language. by YI LIU Importance sampling is used to improve precision in estimating the prevalence of some rare event in a population. Background Every day, millions of videos are uploaded to YouTube.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Domino Data Lab

JULY 1, 2020

Notebooks are increasingly crucial in the data scientist’s toolbox. Although considered relatively new, their history traces back to systems like Mathematica and MATLAB. For Data Scientists, spinning up notebook instances as the first step in exploratory data analysis has become second nature. Notebook Structure.

Testing 116

Testing Data Science Machine Learning Data-driven 116

The Unofficial Google Data Science Blog

MARCH 22, 2018

Ready-made systems then perform standardized analyses on their work, giving a common and repeatable method of decision making. However, there are common cases where this assumption could be broken, most notably in mobile. by DANIEL PERCIVAL Randomized experiments are invaluable in making product decisions, including on mobile apps.

Experimentation 62

Experimentation Measurement Modeling Statistics 62

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. This is the garbage in, garbage out principle: flawed data going in leads to flawed results, algorithms, and business decisions.

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346

Alation

JANUARY 27, 2022

Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. As an organization embraces digital transformation , more data is available to inform decisions. It can also help prevent data misuse.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Alation

AUGUST 26, 2021

Similarly, data intelligence offers a ‘big picture’ view of a given system that’s too vast to grasp for any one individual. By synthesizing multiple perspectives into a shared ‘bird’s-eye view’ it illuminates the system: the elephant in its entirety. Yet data intelligence is more than a system for judging a single asset alone.

Metadata 64

Metadata Data Governance Dashboards Software 64

Domino Data Lab

APRIL 24, 2019

This blog post provides insights on how to apply Natural Language Processing (NLP) techniques. Applying Natural Language Processing (NLP). Next, load the dataset of common stop words that we’ll exclude from the total list of words to be analyzed. A complementary Domino project is available. The Mueller Report.

Data Science 106

Data Science Reporting Analytics Machine Learning 106

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

O'Reilly on Data

MAY 11, 2020

Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. They differ fundamentally from each other along dimensions such as alignment of incentives between stakeholders, “creep factor”, and the nature of how their feedback loops operate.

Modeling 191

Modeling Advertising Recreation/Entertainment Metrics 191