Deep Q-Network: DQN and Deep Reinforcement Learning
DQN combines Q-Learning and deep neural networks to learn to play games directly from pixels. Complete guide with Python code.
Deep Q-Network: DQN and Deep Reinforcement Learning LireLearn Python
Explore in-depth articles on programming, analyses of innovative GitHub projects, and guides on advanced Python frameworks and techniques.
VAE: Variational Autoencoder
The VAE learns a probabilistic latent space to generate new data. Complete guide with ELBO, reparameterization trick, and PyTorch code.
VAE: Variational Autoencoder Lire
Feature Engineering: Feature Engineering
Feature Engineering transforms raw data into predictive variables. Complete guide with feature selection, encoding, and Python code.
Feature Engineering: Feature Engineering Lire
Bayesian Optimization: Intelligent Hyperparameter Tuning
Bayesian Optimization finds the best hyperparameters by modeling the performance function as a Gaussian process. Complete guide with Python.
Bayesian Optimization: Intelligent Hyperparameter Tuning Lire
Active Learning: Complete Guide
Active Learning selects the most informative examples to annotate, reducing the need for labeled data. Complete guide with Python code.
Active Learning: Complete Guide Lire
LLM: Large Language Models
LLMs are very large-scale language models capable of generating coherent text. Complete guide with architecture, training, and Python code.
LLM: Large Language Models Lire
Bagging: Bootstrap Aggregating
Bagging reduces model variance by training multiple versions on subsamples. Complete guide with Random Forest and Python code.
Bagging: Bootstrap Aggregating Lire
Capsule Networks: Hinton’s Capsule Networks
Capsule Networks preserve hierarchical spatial relationships between features. Complete guide with routing-by-agreement and PyTorch code.
Capsule Networks: Hinton’s Capsule Networks Lire
Recommender Systems: Collaborative Filtering and Matrix Factorization
Recommender systems predict user preferences with collaborative filtering and matrix factorization. Complete guide with Python code.
Recommender Systems: Collaborative Filtering and Matrix Factorization Lire
SHAP and LIME: Explainable AI
SHAP and LIME explain machine learning model predictions. Complete guide with Shapley values, interpretability, and Python code.
SHAP and LIME: Explainable AI Lire