Getting started with AI for free
summary
Shows practical, runnable steps: uses Google Colab to run TextBlob and spaCy (installs, preprocessing, n‑grams), loads 25 Supreme Court files from a bundled dataset and reports 6,063 sentences, and demos sentiment and part‑of‑speech tagging. Describes a Prometheus linear regression that forecasts disk fill date, checks every five minutes and alerts if fill is within a month — it predicts correctly and the system never overflows. Mentions numpy, pandas, scikit‑learn, PyTorch, TensorFlow and dataset sources like Kaggle and arXiv.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 2:07Why AI
- 7:55Free Data
- 9:22Free Software
- 11:25What is AI
- 12:24Natural Language Processing NLP
- 13:47NLP Tools
- 15:45Preprocessing
- 23:50Machine Learning
- 29:02ML Tools
- 32:00Deep Learning
related talks
01h 38mNavigating the World of NLP and Text Analytics
31mTaking AI/ML to the next level: Text!
33mAdvanced Natural Language Processing with Free Low-Code and...
30mMachine Learning: Beyond the Tutorial
21mAI as an API
17mAI/ML demo derby
44mTeaching Computers ABCs: A Quick Intro to Natural Language Processing
24mDon't want to miss out on the AI wave?
