Dataconomy

MAY 6, 2025

This stage includes: Cleaning and converting data: Ensuring data quality by removing inconsistencies and converting data into usable formats. Organizing it: Structuring data in a way that facilitates easy access and processing. Unsupervised learning: Allowing models to find patterns in unlabeled data.

ML 91

ML ML Machine Learning Machine Learning 91

IBM Journey to AI blog

MAY 9, 2023

As a result, businesses have focused mainly on automating tasks with abundant data and high business value, leaving everything else on the table. Data: the foundation of your foundation model Data quality matters. An AI model trained on biased or toxic data will naturally tend to produce biased or toxic outputs.

AI 139

AI AI Data Quality Data Lakes 139

DagsHub

NOVEMBER 11, 2024

In general, this data has no clear structure because it may manifest real-world complexity, such as the subtlety of language or the details in a picture. Advanced methods are needed to process unstructured data, but its unstructured nature comes from how easily it is made and shared in today's digital world.

AI 52

AI AI Data Lakes Database 52

Pickl AI

AUGUST 9, 2024

Data Lake vs. Data Warehouse Distinguishing between these two storage paradigms and understanding their use cases. Students should learn how data lake s can store raw data in its native format, while data warehouses are optimised for structured data.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

ODSC - Open Data Science

OCTOBER 15, 2023

Cloudera Cloudera is a cloud-based platform that provides businesses with the tools they need to manage and analyze data. They offer a variety of services, including data warehousing, data lakes, and machine learning.

Machine Learning 52

Machine Learning Machine Learning Data Pipeline AI 52

The MLOps Blog

MARCH 21, 2023

Olalekan said that most of the random people they talked to initially wanted a platform to handle data quality better, but after the survey, he found out that this was the fifth most crucial need. And when the platform automates the entire process, it’ll likely produce and deploy a bad-quality model.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69