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!

Baby steps with Tensorflow #1

Baby steps with Tensorflow #1

A beginner's guide to understanding TensorFlow and its application in deep learning.

Baby steps with Tensorflow #2

Baby steps with Tensorflow #2

Continuing the exploration of TensorFlow, we dive deeper into its functionalities and practical applications.

Boosting

Boosting Decrypted

An introduction to boosting algorithms and how they improve model performance.

ChebNet

ChebNet: CNN on Graphs with Fast Localized Spectral Filtering

Exploring ChebNet, a new approach to graph neural networks using fast localized spectral filtering.

Clustering

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

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

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

Decision Trees. Decoded.

From theory to practice—unlock the secrets behind Decision Trees and how they power many machine learning algorithms.

Understanding Deepwalk

Understanding Deepwalk

Step into the realm of graph-based machine learning and see how DeepWalk revolutionizes the way we understand relationships in data.

Understanding GAT

Understanding Graph Attention Networks (GAT)

Explore the world of Graph Attention Networks, where attention mechanisms meet graph theory to create smarter, more accurate models.

Graph Convolutional Networks (GCN)

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: Neural Network to Predict the Future

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

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

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.

Logistic Regression Simplified

Logistic Regression. Simplified.

Logistic Regression doesn’t have to be intimidating. Get a simple, clear breakdown of this powerful algorithm.

Loss Functions and Optimization

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

Placement Experience

Curious about what it takes to crack data science placements? Here's a first-hand experience that reveals all the secrets!

Regularization Clarified

Regularization. Clarified.

Worried about overfitting? Learn how regularization techniques are the unsung heroes that make your models generalize better.

Roadmap to Data Science

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 CNN

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

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.

Word Embedding

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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