Learning Machine Learning (Work in Progress)

My skills

• Deep Learning frameworks (TensorFlow, PyTorch, etc.)
• Generative AI and Large language models (LLMs), Transformers, Attention and Optimization
• Cloud-based ML solutions (AWS SageMaker, GCP AI/ML tools)
• Scalable systems for ML model deployment (e.g., Kubernetes, Docker)

Projects

• Distributed Training
  • Distributed Training with TensorFlow
  • Distributed Training with PyTorch
• Generative AI
  • RAG pipeline to query over PDF data
  • RAG pipeline to query over SQL database tables
  • Agentic Workflow

Tutorials

• Get started with TensorFlow
• Get started with PyTorch
• Get started with Hugging Face
• Get started with LangChain
• Get started with Apache Spark

blog

• Understanding Attention
• Understanding Transformers
• Bias-Variance Tradeoff
• Exploration vs. Exploitation
• Overfitting, Underfitting, and Regularization(L1, L2)
• Gradient Descent
• Optimizers in Deep Learning
• Loss and Metrics in Deep Learning
• Activation function in Deep Learning
• Exploding and Vanishing Gradient problem

Old blogs

• 2023-Introduction To Recommendation Systems
• 2022-Realtime Instore Sentiment Analysis Risa
• 2022-Multi-Class Image Classification
• 2022-Quick Ways Of Data Loading In Tensorflow
• 2020-Ultimate Deep Learning PC Build for Beginners