Puneet Mangla

Table of Contents Approximate Nearest Neighbor with Locality Sensitive Hashing (LSH) What Is Locality Sensitive Hashing (LSH)? Mathematical Foundation of LSH How LSH Works SimHash: LSH for Vector Databases Random Projection Computing Binary Fingerprint Creating Hash Table Mathematical Trade-Off Querying…

Table of Contents Implementing Huffman Encoding for Lossless Compression Lossy vs. Lossless Compression Lossy Compression Lossless Compression What Is Huffman Encoding? Frequency Analysis Build a Priority Queue Construct the Huffman Tree Generate Huffman Code Encode the Data Decode the Data…

Table of Contents Anomaly Detection: How to Find Outliers Using the Grubbs Test What Is an Outlier? How to Find Outliers with Grubbs Test Formulating the Hypotheses Null Hypothesis Alternative Hypothesis Calculate the Test Statistic Determining the Critical Value with…

Table of Contents Implementing Approximate Nearest Neighbor Search with KD-Trees Introduction to Approximate Nearest Neighbor Search Mathematical Foundation KD-Trees for Approximate Nearest Neighbor Search Construction of KD-Trees Querying with KD-Trees Step 1: Forward Traversal Step 2: Computing the Best Estimate…

Table of Contents Build a Network Intrusion Detection System with Variational Autoencoders Understanding Network Intrusion and the Role of Anomaly Detection What Is Network Intrusion? Importance and Necessity for Advanced IDS Autoencoders for Anomaly Detection What Are Autoencoders? Autoencoders as…

Table of Contents Predictive Maintenance Using Isolation Forest What Is Predictive Maintenance? And Why Anomaly Detection? Predictive Maintenance Predictive Maintenance as Anomaly Detection The Isolation Forest Algorithm Isolation Trees Anomaly Score Building the Forest Implementing Predictive Maintenance Using Isolation Forest…

Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? Applications of Anomaly Detection Types of Anomaly Detection Problems Point Anomalies Contextual Anomalies Collective Anomalies Algorithms for Anomaly Detection…

Table of Contents LLMOps with DSPy: Build RAG Systems Using Declarative Programming Introduction to DSPy: LLMOps Without Prompt Tuning Building Blocks of DSPy Language Models Signatures Modules Data Metrics Optimizers Building a RAG Framework for Biomedical Question Answering with DSPy…

Table of Contents LlamaIndex: Building a Smarter RAG-Based Chatbot Understanding Retrieval Augmented Generation Limitations of Standalone Large Language Models in Production What Is Retrieval Augmented Generation (RAG)? Different Stages of a RAG System Loading Indexing and Storing Querying Evaluating Introduction…