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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Meta-learning a distribution over predictors using the Neural Process Family.
ML concepts: optimization.
Optimization concepts: linear programming.
ML concepts: reinforcement learning.
RL concepts: temporal difference learning.
RL concepts: monte carlo GPI.
RL concepts: dynamic programming.
RL concepts: basics.
ML concepts: VAE.
ML concepts: decision trees.
ML concepts: supervised vs unsupervised learning.
ML concepts: parametric vs non parametric.
ML concepts: Naive Bayes.
ML concepts: evaluation metrics.
ML concepts: no free lunch.
ML concepts: information theory.
ML concepts: generative vs discriminative.
ML concepts: curse of dimensionality.
Review of resources to learn about ML.
Machine Learning glossary with a focus on intuition
Real-time AI-driven interview environment with speech analysis the Grok API integration.
Short description of portfolio item number 2 
A hybrid ARIMA and CNN-BiLSTM architecture with attention mechanism for air quality index forecasting. The model uses metaheuristic optimization and achieves R² > 0.94 on pollution data from major Indian cities.
Self-supervised agricultural disease diagnosis using dual-stage pretext and temporal video modeling with an Adaptive Mixture of Orthogonal Experts Vision Transformer architecture.
A multimodal personality assessment system integrating graph-based facial dynamics, prosody-aware speech modeling, and BERT-LSTM textual flow to estimate Big Five (OCEAN) personality traits.
A YOLO-based deep learning approach for electric vehicle recognition and classification in real-world scenarios.
A computer vision-based approach for sports analytics and automated umpiring, leveraging deep learning for real-time decision support.
This is a description of a teaching experience. You can use markdown like any other post.
This is a description of a teaching experience. You can use markdown like any other post.