Machine Learning Roadmap
A practical, hands-on roadmap from fundamentals to production.
1. Programming Fundamentals
foundationCore concepts and implementation skills
5 topics
Python Proficiency
Advanced typing, decorators, generators, and async programming.
Data Structures & Algorithms
Trees, graphs, hash maps, and complexity analysis.
Software Design Patterns
Factory, Observer, Singleton applied to AI pipelines.
Version Control (Git)
Branching strategies, PR reviews, and CI/CD basics.
API Development (FastAPI)
Building robust, typed REST endpoints for model inference.
2. Mathematics & Statistics
foundationCore concepts and implementation skills
4 topics
Linear Algebra
Vectors, matrices, transformations, eigenvalues, vector spaces.
Calculus Fundamentals
Derivatives, gradients, chain rule, partial derivatives, optimization.
Probability Theory
Conditional probability, Bayes theorem, common distributions.
Inferential Statistics
Hypothesis testing, confidence intervals, A/B testing basics.
3. Data Engineering
coreCore concepts and implementation skills
2 topics