Remove Data Integration Remove Data Processing Remove Statistics
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5-Star Linked Open Elections Data 

Ontotext

Furthermore, the format of the export and process changes slightly from election to election, making comparing data chronologically almost impossible without substantial data wrangling and ad-hoc cleaning and matching. Easily accessible linked open elections data. The data is publicly available as a SPARQL endpoint at [link].

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Why you should care about debugging machine learning models

O'Reilly on Data

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. Privacy harms : models can compromise individual privacy in a long (and growing) list of ways. [8]

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Top 15 data management platforms

CIO Business Intelligence

In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely. Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics.

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The importance of data ingestion and integration for enterprise AI

IBM Big Data Hub

High variance in a model may indicate the model works with training data but be inadequate for real-world industry use cases. Limited data scope and non-representative answers: When data sources are restrictive, homogeneous or contain mistaken duplicates, statistical errors like sampling bias can skew all results.

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Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

Integration automates data ingestion to: process large files easily without manually coding or relying on specialized IT staff. handle large data volumes and velocity by easily processing up to 100GB or larger files. Data ingestion becomes faster and much accurate. get rid of expensive hardware, IT databases, and servers.

Big Data 100
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Top 15 data management platforms available today

CIO Business Intelligence

What are the benefits of data management platforms? Modern, data-driven marketing teams must navigate a web of connected data sources and formats. Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics.

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How to Deliver Data Quality with Data Governance: Ryan Doupe, CDO of American Fidelity, 9-Step Process

Alation

What’s the business impact of critical data elements being trustworthy… or not? In this step, you connect data integrity to business results in shared definitions. This work enables business stewards to prioritize data remediation efforts. Step 4: Data Sources. Step 5: Data Profiling. Frequency of data?