6 articles
A structured roadmap to learn machine learning youtube — from math prerequisites through deep learning. Best channels, video sequences, real projects, and the pitfalls that waste months.
The Notiq Team
Free complete Stanford CS229 machine learning course notes following the official 2026 syllabus. Covers every supervised, unsupervised, and reinforcement learning topic: linear regression, GLMs, SVMs, kernels, neural networks, k-means, EM, RL. The full course reference.
The Notiq Team
Complete deeplearning.ai notes for Andrew Ng's Coursera Deep Learning Specialization — all 5 courses, neural networks, optimization, CNNs, sequence models, and NLP transformers, organized for studying.
The Notiq Team
Complete fast.ai notes for Jeremy Howard's Practical Deep Learning for Coders course — transfer learning, fine-tuning, CNNs, NLP, tabular data, and deployment, lesson by lesson.
The Notiq Team
Complete andrew ng machine learning notes covering every week of the Coursera ML specialization — linear regression through photo OCR, with key equations and practical takeaways.
The Notiq Team
Complete CS229 lecture notes for the SVM dual formulation. Step-by-step derivation from the primal margin problem to the dual using Lagrange multipliers and KKT conditions, plus why the dual form is what makes the kernel trick possible.
The Notiq Team