We use cookies to ensure that you have the best experience on our site.

A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z

What is FAIR data?

FAIR data is a set of principles ensuring that data is Findable, Accessible, Interoperable, and Reusable. These guidelines promote responsible data management in research, industry, and government, facilitating collaboration, transparency, and innovation in data-driven fields.

Health data
Health data refers to medical and personal health-related information collected from individuals, including electronic health records (EHRs), wearable device data, and genetic information. It is protected by privacy regulations like HIPAA and GDPR to ensure secure handling, confidentiality, and ethical use in healthcare analytics, research, and public health initiatives.
Balanced data
Balanced data refers to datasets where different classes or categories are represented equally. In machine learning, balanced datasets help prevent biases in model training, ensuring fairer predictions and reducing overfitting.
Self-supervised learning
Self-supervised learning is a machine learning approach where models learn patterns and features from unlabeled data without requiring human-labeled annotations. It is commonly used in natural language processing, computer vision, and representation learning to improve AI efficiency.

We are always ready to help you and answer your question

Explore More

CUBIG's Service Line

Recommended Posts

Trade with Trust