Welcome to the Data Science Group Blogs
Dive into blogs and insights spanning Machine Learning, AI, Deep Learning, and Data Science. From beginner-friendly guides to deep technical explorations, discover content curated by the DSG. Stay tuned for updates and insightful posts from our talented team!
Activation functions: Blogathon 2023
Find out how neural networks mimic the human brain to make decisions using activation functions, to help improve accuracy and learning efficiency.
Baby steps with Tensorflow #1
A beginner's guide to understanding TensorFlow and its application in deep learning.
Baby steps with Tensorflow #2
Continuing the exploration of TensorFlow, we dive deeper into its functionalities and practical applications.
ChebNet: CNN on Graphs with Fast Localized Spectral Filtering
Exploring ChebNet, a new approach to graph neural networks using fast localized spectral filtering.
Clustering Described
Learn about clustering techniques and how they're used to group similar data points in machine learning.
Convolutional Neural Network with TensorFlow Implementation
Dive into the world of CNNs and discover how TensorFlow simplifies the implementation of deep learning models.
Data Science Congress. Something legendary.
Get the highlights from the most anticipated Data Science Congress. The future of AI is here, and it's legendary.
Decision Trees. Decoded.
From theory to practice—unlock the secrets behind Decision Trees and how they power many machine learning algorithms.
Decision Trees: Blogathon 2025
A Blogathon 2025 submission that goes deep into the maths and theory behind how a machine pick the best decision for a given problem through a series of questions
Understanding Deepwalk
Step into the realm of graph-based machine learning and see how DeepWalk revolutionizes the way we understand relationships in data.
Understanding Graph Attention Networks (GAT)
Explore the world of Graph Attention Networks, where attention mechanisms meet graph theory to create smarter, more accurate models.
A Review: Graph Convolutional Networks (GCN)
Uncover the power of Graph Convolutional Networks and their ability to learn from complex, structured data like never before.
GodNet: A Neural Network Which Can Predict Your Future?
Is this the next breakthrough or just a glimpse into AI's potential to predict the unpredictable? GodNet—more than just hype.
Graph SAGE (SAmple and aggreGatE) : Inductive Learning on Graphs
Discover how Graph SAGE is transforming inductive learning and enabling scalable, dynamic learning on graphs.
How To Setup Timer Hugo
Struggling with your Hugo setup? Get the step-by-step guide for setting up Timer Hugo for a smoother experience.
Ironing Out Wrinkles with Mesh Fairing
Your triangle mesh looking wrinkled? Come explore how surface fairing smooths out those geometry wrinkles, making your meshes cleaner and more reliable for rendering and physics!
Logistic Regression. Simplified.
Logistic Regression doesn't have to be intimidating. Get a simple, clear breakdown of this powerful algorithm.
Loss Functions and Optimization Algorithms. Demystified.
Ever wondered why loss functions matter? Unravel the mystery behind them and learn how optimization drives machine learning models.
Placement Experience
Curious about what it takes to crack data science placements? Here's a first-hand experience that reveals all the secrets!
Principal Component Analysis: Blogathon 2024
Find out how PCA is like a data GPS, and the covariance matrix is the engine that drives it, crunching the numbers to reveal the hidden patterns!!
Randomized Smoothing
Smoothe your way to Certified Robustness using adversarial machine learning, which is all about fortifying AI models against attacks, critical in shaping the future of safe, reliable AI.
Regularization. Clarified.
Worried about overfitting? Learn how regularization techniques are the unsung heroes that make your models generalize better.
Regularization Algorithms in Regression: Blogathon 2023
Regression models too rigid or too flexible? Learn how regularization strikes the perfect balance, enhancing model accuracy and generalization.
Roadmap To Data Science
From novice to expert—this roadmap will guide you through the essentials of Data Science. Start your journey now!
Artistic Style Transfer with Convolutional Neural Network
Ever wanted to turn your photos into art? Learn how to use CNNs for artistic style transfer and create masterpieces with AI.
Singular Value Decomposition. Elucidated.
SVD might sound intimidating, but it's actually one of the most useful techniques in data science. Let's break it down and make it crystal clear.
Transformers Like Never Before: Blogathon 2023
Discover how Attention in transformers helps neural networks focus on important information, improving performance through queries, keys, and values.
Using LoRA to Train LLMs efficiently
Click to find out how LoRA revolutionizes fine-tuning for LLMs without compromising performance.
Word Embedding
Words are more than just words—discover how word embeddings turn text into numerical representations for smarter machine learning models.
Categories
- Machine Learning
- Deep Learning
- Natural Language Processing
- Reinforcement Learning
- Data Preprocessing
- Computer Vision
- Time Series Analysis
- AI in Industry
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