AWS Machine Learning Blog

NOVEMBER 27, 2023

While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it. According to a 2019 survey by Deloitte , only 18% of businesses reported being able to take advantage of unstructured data. Clean data is important for good model performance.

Data Preparation 116

Data Preparation AI AI Python 116

Mlearning.ai

JANUARY 26, 2023

It can be gradually “enriched” so the typical hierarchy of data is thus: Raw data ↓ Cleaned data ↓ Analysis-ready data ↓ Decision-ready data ↓ Decisions. For example, vector maps of roads of an area coming from different sources is the raw data. Data, 4(3), 92. Data, 4(3), 94.

AWS 98

AWS Database Data Science Clean Data 98

Tableau

JULY 28, 2020

With Prep, users can easily and quickly combine, shape, and clean data for analysis with just a few clicks. In this blog, we’ll discuss ways to make your data preparation flow run faster. These tips can be used in any of your Prep flows but will have the most impact on your flows that connect to large database tables.

Data Preparation 52

Data Preparation Tableau Database Clean Data 52

Tableau

JULY 28, 2020

With Prep, users can easily and quickly combine, shape, and clean data for analysis with just a few clicks. In this blog, we’ll discuss ways to make your data preparation flow run faster. These tips can be used in any of your Prep flows but will have the most impact on your flows that connect to large database tables.

Data Preparation 52

Data Preparation Tableau Database Clean Data 52

AWS Machine Learning Blog

NOVEMBER 30, 2023

Customers must acquire large amounts of data and prepare it. This typically involves a lot of manual work cleaning data, removing duplicates, enriching and transforming it. or “Should I use a relational or non-relational database?”). It’s also not easy to run these models cost-effectively.

AWS 145

AWS AI AI ML 145