Community name :- the data mask
The Data mask is focused on using data science to create a better world.
This community focuses on working toward socially progressive goals.
It’s more important to be part of the data mask community,to generate new project ideas, improve your skills, or simply to stay sane in these strange times.

We covers:-
Machine Learning
Deep Learning
Remote Sensing
New emerging concepts

Understanding Noise in Satellite Imagers | Types & Filtering Techniques
7:55
Understanding Noise in Satellite Imagers | Types & Filtering Techniques
SAR Data Processing Explained | From Level 0 to GRD Product Generation
23:20
SAR Data Processing Explained | From Level 0 to GRD Product Generation
Explaining CNN Models with Explainable AI (XAI) Techniques | Grad-CAM, Saliency Maps,
49:15
Explaining CNN Models with Explainable AI (XAI) Techniques | Grad-CAM, Saliency Maps,
Thermal Remote Sensing Explained | Blackbody, Emissivity to TOA Radiance & Land Surface Temperature
23:12
Thermal Remote Sensing Explained | Blackbody, Emissivity to TOA Radiance & Land Surface Temperature
Understanding Pruning in Neural Networks | Types, Layer-wise Impact & Interview Prep!
30:00
Understanding Pruning in Neural Networks | Types, Layer-wise Impact & Interview Prep!
GANs Explained: How They Work, Challenges, and Advancements | SRGAN Case Study.
20:28
GANs Explained: How They Work, Challenges, and Advancements | SRGAN Case Study.
Bayesian Inference Explained: From Bayes' Theorem to MCMC & Real-World Challenges
37:08
Bayesian Inference Explained: From Bayes' Theorem to MCMC & Real-World Challenges
Interview Understanding HTTPS | TLS, RSA, and AES Explained
8:27
Interview Understanding HTTPS | TLS, RSA, and AES Explained
Master Web Security with OWASP and OWASP Top Ten
13:39
Master Web Security with OWASP and OWASP Top Ten
Trainable vs. Non-Trainable Layers | Neural Networks Explained
6:09
Trainable vs. Non-Trainable Layers | Neural Networks Explained
YOLOv8 Architecture & C2F Backbone | Complete Breakdown
8:57
YOLOv8 Architecture & C2F Backbone | Complete Breakdown
Geometric Transformation Explained with Thin Plate Spline Transformation and Affine Transformation
12:09
Geometric Transformation Explained with Thin Plate Spline Transformation and Affine Transformation
NVIDIA Jetson Thor 128GB VRAM: The Future of Edge and Robotics #shorts
0:12
NVIDIA Jetson Thor 128GB VRAM: The Future of Edge and Robotics #shorts
NVIDIA Jetson Thor 128GB VRAM: The Future of Edge and Robotics. Specs in details and Use case.
3:42
NVIDIA Jetson Thor 128GB VRAM: The Future of Edge and Robotics. Specs in details and Use case.
YOLO v11 vs. YOLO v10 vs. YOLO v8: Which is Best for Object Detection on COCO , OBB-Dota V1 Dataset
20:21
YOLO v11 vs. YOLO v10 vs. YOLO v8: Which is Best for Object Detection on COCO , OBB-Dota V1 Dataset
SAM vs SAM 2.0: Meta's Segmentation Models . When to use what ? Case Study on Satellite Data.
13:01
SAM vs SAM 2.0: Meta's Segmentation Models . When to use what ? Case Study on Satellite Data.
Revolutionizing Change Detection: DDMP-CD with Deep Learning and Denoising Diffusion
15:53
Revolutionizing Change Detection: DDMP-CD with Deep Learning and Denoising Diffusion
Moon data Super resolution using GAN deep learning
9:04
Moon data Super resolution using GAN deep learning
Machine Learning - Linear Regression Theory and Practical in details with prediction of housing data
31:05
Machine Learning - Linear Regression Theory and Practical in details with prediction of housing data
DN to radiance and reflectance conversion using In situ calibration
9:55
DN to radiance and reflectance conversion using In situ calibration
How Satellite Acquires Data, what is pixel in image, difference between radiance and reflectance.
10:40
How Satellite Acquires Data, what is pixel in image, difference between radiance and reflectance.