Topic
Basics
Learn Basics as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts5 Articles1h 13m
Overview
Learn Basics as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Ai
Deep Learning
Machine Learning
System Design
Learning Path in this Topic
Series that contain articles from Basics. Select a path to filter the article list.
Articles
5 matched articles
Article 1What are Hash Tables? Basics ExplainedTLDR: A hash table gives you near-O(1) lookups, inserts, and deletes by using a hash function to map keys to array indices. The tradeoff: collisions (when two keys hash to the same slot) must be handl12 minArticle 2What are Logits in Machine Learning and Why They MatterTLDR: Logits are the raw, unnormalized scores produced by the final layer of a neural network — before any probability transformation. Softmax converts them to probabilities. Temperature scales them b11 minArticle 3Unlocking the Power of ML, DL, and LLM Through Real-World Use CasesTLDR: ML, Deep Learning, and LLMs are not competing technologies — they are a nested hierarchy. LLMs are a type of Deep Learning. Deep Learning is a subset of ML. Choosing the right layer depends on y15 minArticle 4Python Basics: Variables, Types, and Control FlowTLDR: Python variables are labels that point at objects — not typed boxes. The type lives with the object, not the variable. Master truthiness, f-strings, for/while loops, and the handful of pitfalls 22 minArticle 5System Design Interview Basics: A Beginner-Friendly Framework for Clear AnswersTLDR: System design interviews are not about inventing a perfect architecture on the spot. They are about showing a calm, repeatable process: clarify requirements, estimate scale, sketch a simple desi13 min