#3 of 36
sofia-nlp
Level 6 · AI Architect · Title: Network builder
10,460 XP
Top level
Completed branches
83/ 228
Mastered sub-branches
267/ 680
Milestone projects
2/ 15
Highest tier
N5Architecture families
Specialties
Still on the common trunk: specialties open from tier N6.
Their curriculum, tier by tier
A completed branch lights up in its family's colour. A branch is available once all its prerequisites, milestone projects included, are completed.
- Completed
- Available
- Locked
- N0Computing and PythonScripter15/15
- Python basics (Completed)
- Git (Completed)
- Linux / Shell (Completed)
- SQL (Completed)
- OOP (Completed)
- Iterators & generators (Completed)
- Typing (Completed)
- NumPy (Completed)
- Tests (Completed)
- Pandas / Polars (Completed)
- SciPy (Completed)
- Visualization (Completed)
- Profiling (Completed)
- Parallelism (Completed)
- GPU computing (Completed)
- N1Mathematics of AIAnalyst12/12
- Linear algebra (Completed)
- Calculus (Completed)
- Probability (Completed)
- Eigenvalues (Completed)
- Gradient, Jacobian, Hessian (Completed)
- Bayes (Completed)
- Information theory (Completed)
- Statistics (Completed)
- SVD & decompositions (Completed)
- Optimization (Completed)
- MLE / MAP (Completed)
- Gradient descent (Completed)
- N2Foundations of learningStatistician12/12
- Supervised learning (Completed)
- Unsupervised learning (Completed)
- Bias / Variance (Completed)
- Validation (Completed)
- Semi & weakly-supervised (Completed)
- Self-supervised (Completed)
- Online & active learning (Completed)
- Transfer & multi-task (Completed)
- Regularization (Completed)
- Metrics (Completed)
- Distribution shift (Completed)
- Calibration & uncertainty (Completed)
Milestone 1 · mandatory projects
- Statistical engine in pure NumPy (Completed)
- N3Classical machine learningModeler17/17
- Regression (Completed)
- Decision trees (Completed)
- k-NN (Completed)
- Naive Bayes / LDA / QDA (Completed)
- Clustering (Completed)
- Dimensionality reduction (Completed)
- Bayesian models (Completed)
- Graphical models (Completed)
- Penalized regression (Completed)
- Logistic regression (Completed)
- Bagging & forests (Completed)
- Boosting (Completed)
- Gaussian Mixture & EM (Completed)
- Manifold learning (Completed)
- Anomaly detection (Completed)
- SVM (Completed)
- Stacking & voting (Completed)
- N4Neural networksNeuronaut9/9
- Neuron & perceptron (Completed)
- MLP / PMC (Completed)
- Activations (Completed)
- Forward & losses (Completed)
- Computational graph & autodiff (Completed)
- Backpropagation (Completed)
- Optimizers (Completed)
- Normalization (Completed)
- Neural regularization (Completed)
- N5Architecture familiesNetwork builder18/18
- CNN (Completed)
- RNN (Completed)
- Autoencoder (Completed)
- GNN (Completed)
- Neural ODE (Completed)
- Spiking Neural Networks (Completed)
- Modern CNNs (Completed)
- LSTM / GRU (Completed)
- VAE (Completed)
- Capsule Networks (Completed)
- Seq2Seq (Completed)
- Liquid Neural Networks (Completed)
- Attention (Completed)
- Transformer (Completed)
- Vision Transformers (Completed)
- State Space Models (Completed)
- Mixture of Experts (Completed)
- Memory & Hopfield (Completed)
Milestone 2 · mandatory projects
- End-to-end credit scoring (Completed)
- Deep learning engine from scratch (Available)
- Tiers N6 to N13 · still locked
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