Day 21 – NLP Advances: ChatGPT, LLMs & Next-Gen Transformers
Introduction
Natural Language Processing (NLP) has undergone a revolution in recent years, primarily...
Day 13 – Transfer Learning & Fine-Tuning Pretrained Models
Introduction
In the fast-evolving world of deep learning, training models from scratch can be time-consuming...
Day 20 – Computer Vision Trends in 2025: Beyond CNNs
Introduction
Computer Vision (CV) is evolving rapidly. While Convolutional Neural Networks (CNNs) dominated...
Day 12 – Reinforcement Learning with Deep Q-Learning
Introduction
Reinforcement Learning (RL) is a branch of AI where agents learn to make decisions by...
Day 16 – Deploying Deep Learning Models with TensorFlow Serving
Introduction
Building deep learning models is only half the journey. Deployment ensures models can...
Day 19 – Case Study: Fraud Detection Using Machine Learning
Introduction
Fraud detection is a critical application of machine learning in 2025, especially for...
Day 22 – Advanced Machine Learning Techniques: Ensembles & Boosting
Introduction
In 2025, advanced machine learning techniques are essential for building high-performance...
Day 20 – Data Visualization with Tableau & Power BI for Data Scientists
Introduction
In 2025, data visualization is a core skill for data scientists. It allows complex datasets...
Day 16 – Big Data Tools for Data Scientists: Hadoop & Spark
Introduction
In 2025, data scientists face massive datasets from sources like IoT devices, e-commerce...
Day 13 – Natural Language Processing (NLP) Basics
Introduction
Natural Language Processing (NLP) is the bridge between human language and machine understanding....
