ML learning

Available Guides

• Parallel Q-Learning in a Maze Environment live Reinforcement Learning

  An interactive guide to implementing parallel Q-learning in a maze environment, covering state representation, action selection, and learning updates.

• Split-Solve Batches in Maze Environment live Reinforcement Learning

  Solving a maze environment using a split-solve approach, where the problem is divided into smaller batches for efficient learning and faster convergence.

• Mixture of Experts with Multi-Attention live
  
  Reinforcement Learning Multi-Point-attention Mixture of Experts

  An interactive guide to implementing a Mixture of Experts (MoE) model with multi-attention mechanisms, exploring how to combine multiple expert models for improved performance in complex tasks.

• Finding the Shortest Path in a Maze live
  Reinforcement Learning Shortest Path Custom-Environment Agent-Goal-based

  An interactive guide to finding the shortest path in a maze environment using reinforcement learning techniques, including state representation, reward design, and policy optimization.

• English Language Learning live
  Language Learning English

  An interactive guide to learning English, covering grammar, vocabulary, pronunciation, and practical usage tips.

• Google Search Extraction Logic live
  Web Scraping Google Search Data Extraction

  An interactive guide to understanding the logic behind extracting data from Google Search results, including techniques for web scraping, parsing HTML, and handling dynamic content.

• User Intent Analysis live
  User Intent Analysis Natural Language Processing

  An interactive guide to analyzing user intent in natural language processing, covering techniques for understanding and categorizing user queries, and improving search and recommendation systems.

• Custom Maze Drawing live
  Custom Visualization

  An interactive guide to implementing custom maze drawing techniques for visualizing reinforcement learning environments.

• Entity Masking Guide live
  Entity Masking Natural Language Processing Data Privacy

  An interactive guide to entity masking techniques in natural language processing, covering methods for anonymizing sensitive information while preserving the utility of the data for analysis and modeling.

• NLP Pipeline Layers live
  NLP Pipeline Natural Language Processing Layered Analysis

  An interactive guide to the various layers of an NLP pipeline, covering topics such as tokenization, syntax analysis, semantic understanding, and information extraction.

• Reasoning Pipeline live
  Reasoning Pipeline Artificial Intelligence Problem Solving

  An interactive guide to the reasoning pipeline in artificial intelligence, covering stages such as problem representation, inference, and decision-making processes.

• Algorithm Example 1 live
  Algorithm Example Data Structures Algorithm Design

  solving one paragraph, breaking down the problem, and providing a step-by-step solution using appropriate data structures and algorithmic techniques.

• Sentence Recombination & Semantic Similarity live
  NLP Semantic Similarity Language Models

  Understanding how language models recombine learned linguistic patterns, measure sentence similarity using embeddings, validate semantic coherence, and generate novel sentence structures from reusable components.