🔗 = Outbound Links 📘 = Markdown Notes
- 📘 Machine Learning
- 📕 Supervised Learning
- 📙 Unsupervised Learning
- 📗 Reinforcement Learning
- 🔗AWS Machine Learning Foundations Course, UD090, Udacity
- 🔗Intro to Deep Learning with PyTorch, UD188, Udacity
- 🔗Intro to Machine Learning, UD120, Udacity
- 🔗Intro to Deep Learning w/ PyTorch, UD188
- 🔗Intro to TensorFlow for Deep Learning, UD187
- 🔗Intro to TensorFlow Lite, UD190
- 🔗Deep Reinforcement Learning, ND893, Udacity
- 🔗Natural Language Processing, ND892, Udacity
- 🔗Computer Visio, ND891, Udacity
- 🔗Intro to Machine Learning using Microsoft Azure, UD00333, Udacity
- 🔗Descriptive Statistics, UD827, Udacity
- 🔗Inferential Statistics, UD201, Udacity
- 🔗Spark, UD2002, Udacity
- 🔗Full Stack,UD088, Udacity
- 🔗Differential Equations in Action, CS222, Udacity
- 🔗Intro to Algorithms, CS215, Udacity
- 🔗Machine Learning, UD262, Udacity
- 🔗Full Stack ,Foundations, UD088, Udacity
- 🔗Edge AI Fundamentals with OpenVINO, UD132, Udacity
- 🔗Pytorch Scholarship, Student Story Challenge, Udacity
- Applied ML, Github, Eugeneyan
- AWS ML Certification, AWS
- Kaggle Certification, Kaggle
- Data Camp Certification, Data Camp
- AWS Educate, AWS
- Intro to AI Ethics, Kaggle
- AI, ML, RL, AirTable
- [[_ml]]