A Hacker's Guide To Machine Learning

the source code for a hacker's guide to machine learning

the book is available on kindle https://www.amazon.com/dp/B0C666HXKV and gumroad https://victusfate.gumroad.com/l/xlhtbn

Table of Contents:

1. Introduction to Machine Learning
   • Neural Networks
   • Deep Learning
   • Reinforcement Learning
2. Natural Language Processing (NLP)
   • Large Language Models (LLMs)
   • Transformers
   • Search Techniques
     • Information Retrieval
     • Named Entity Recognition
     • Sentiment Analysis
     • Text Summarization
3. Recommender Systems
   • Collaborative Filtering
   • Content-Based Filtering
4. Computer Vision
   • Image Generation
   • Object Detection
   • Image Classification
   • Facial Recognition
5. Supervised Learning
   • Logistic Regression
   • Naive Bayes
   • K-Nearest Neighbors (KNN)
   • Support Vector Machines (SVM)
   • Random Forests
6. Unsupervised Learning
   • Clustering
   • Dimensionality Reduction (PCA)
   • Anomaly Detection (Fraud)
7. Intelligent Agents
   • Combining Multiple ML Processes
   • Voice and Text Input
   • Chatbots and Conversational Agents