Definitions for datasets
datasets

How to pronounce datasets?

1. Alex

   US English

   David

   US English

   Mark

   US English

   Daniel

   British

   Libby

   British

   Mia

   British

   Karen

   Australian

   Hayley

   Australian

   Natasha

   Australian

   Veena

   Indian

   Priya

   Indian

   Neerja

   Indian

   Zira

   US English

   Oliver

   British

   Wendy

   British

   Fred

   US English

   Tessa

   South African

How to say datasets in sign language?

Numerology

1. Chaldean Numerology

   The numerical value of datasets in Chaldean Numerology is: 7

2. Pythagorean Numerology

   The numerical value of datasets in Pythagorean Numerology is: 8

Examples of datasets in a Sentence

1. Curt Davis:

   We wanted to test these deep learning methods on a realistic, real-world image analysis problem to critically assess their utility and potential impact, the results were much better than we anticipated. Historically machine learning algorithms haven’t performed well when they have been applied to large satellite imagery datasets.

2. Judith Curry:

   The new NOAA dataset disagrees with a UK dataset, which is generally regarded as the gold standard for global sea surface temperature datasets, the new dataset also disagrees with ARGO buoys and satellite analyses.

3. Akpaka Kalu:

   The datasets that were generated in these studies and field trials were by African scientists.

4. Jenny Radesky:

   Aspects of our personality and neurodiversity are extremely personal and can be exploited, and therefore medical and research institutions have rigorous safeguards to keep this information private, as our country heads into a year of online learning, it's crucial that we know that children's educational data are not merged with marketing datasets that can then exploit these fundamentally private things about The Children.

5. Subha Madhavan:

   The irony of individualized treatment for one patient is that we have to manage billions of bits of information from thousands of others, the selection of a precise cancer therapy based on a patient's molecular profile requires computer-assisted analysis of enormous molecular, clinical, patient history, and pharmacological datasets that often come from very disparate and heterogeneous data sources.

Popularity rank by frequency of use