Paste the link to any educational YouTube video. The platform reads the transcript, identifies the important concepts, organizes them into a logical sequence, and generates an interactive roadmap you can follow.
Introduction to Machine Learning
Core concepts and overview
Supervised vs Unsupervised Learning
Key differences and use cases
Training Data & Features
Understanding datasets
Model Evaluation
Metrics and validation
Interactive roadmap preview
Drag nodes, pan the canvas, and zoom in — this is a live map of how one topic actually branches into prerequisites, related skills, and practice.
Neural Networks
Foundation of deep learning
Why Neural Networks Matter
Understand the shift from rule-based logic to learned representations, and why this architecture underlies modern AI.
Core Building Blocks
Four pillars to evaluate first: neurons & weights, activation functions, layers, and the forward pass.
Linear Algebra & Calculus
Vectors, matrices, dot products, and derivatives — the math forward/back-prop runs on.
Perceptron & Activation
Single-unit model, weighted sums, and why nonlinear activations (ReLU, sigmoid) matter.
Backpropagation
Chain rule applied across layers. Strong demand for engineers who can reason about gradients directly.
CNNs & RNNs
Specialized layouts for spatial and sequential data. Useful but narrower than transformer-based roles.
Optimization & Training
Loss landscapes, learning rate schedules, regularization — where most real-world tuning happens.
Build From Scratch
Implement a 2-layer net in NumPy before reaching for a framework. Cements intuition fastest.
Apply With PyTorch
Re-implement the same network in PyTorch to see what the framework automates for you.
Understanding relationships between concepts often makes complex subjects easier to study than consuming videos individually. A roadmap shows you the structure — what comes first, what builds on what, and where you are in the learning journey.
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Break large interview prep videos into organized topics
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Study one concept at a time while keeping the overall structure visible
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