Here's a list of AI and Data terms and jargons! Great Post By: Nicolas Boucher Original Post Below 👇 👇 👇 "Save this post to learn all AI & Data terms Everything you need to know in one page! 🙏 Is this post helpful and you learned something? Show your appreciation by liking, commenting or reposting! 1. GPT (Generative Pre-trained Transformer) • Definition: General-purpose language models • Finance Use: Automated Content Generation, Customer Support Chatbots 2. NLP (Natural Language Processing) • Definition: Enables computers to understand human language • Finance Use: Chatbots, Fraud Detection 3. API (Application Programming Interface) • Definition: Rules enabling software interaction • Finance Use: Data exchange, Real-time market data, Payment Processing 4. RPA (Robotic Process Automation) • Definition: AI automating rule-based tasks • Finance Use: Data Entry, Invoice Processing, Account Reconciliation 5. OCR (Optical Character Recognition) • Definition: Extracts text from images or scanned docs • Finance Use: Automated document processing, expense management 6. ASR (Automatic Speech Recognition) • Definition: Converts spoken language to text • Finance Use: Transcription, Customer Service Call Analysis 7. CL (Clustering) • Definition: Groups similar data points • Finance Use: Market Segmentation, Fraud Detection 8. TTS (Text-to-Speech) • Definition: Converts written text to spoken word • Finance Use: Audio Financial Reports, Customer Notifications 9. LLM (Large Language Model) • Definition: AI trained on vast text data • Finance Use: Sentiment Analysis, Document Summarization 10. DL (Deep Learning) • Definition: Specialized ML using deep neural networks • Finance Use: Analyze market data, predict patterns 11. ML (Machine Learning) • Definition: Enables learning from data • Finance Use: Credit Scoring, Algorithm Trading 12. RNN (Recurrent Neural Network) • Definition: Processes sequential data • Finance Use: Time-Series Analysis, Stock Price Prediction 13. SVM (Support Vector Machines) • Definition: Used for classification & regression analysis • Finance Use: Credit Risk Assessment, Portfolio Optimization 14. KNN (K-Nearest Neighbors) • Definition: Classifies data based on neighbors • Finance Use: Customer Segmentation, Anomaly Detection 15. TKN (Tokenization) • Definition: Replaces data with unique symbols • Finance Use: Information Extraction, Sentiment Analysis 16. PCA (Principal Component Analysis) • Definition: Reduces data dimensionality • Finance Use: Risk Management, Feature Extraction 18. GAN (Generative Adversarial Network) • Definition: Neural networks creating realistic data • Finance Use: Synthetic Data Generation, Anomaly Detection 19. Naive Bayes • Definition: Classification with predictor independence • Finance Use: Risk Management, Customer Segmentation 20. KM (K-Means) • Definition: Organizes data into k-clusters ______________