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Exploring the fascinating world of algorithms, data structures, and software engineering through clear explanations and practical examples.
New to Machine Learning Mastery?
Read these foundational posts in order to build a strong mental model before diving into advanced topics.
View full series- 112 min
Machine Learning Fundamentals: A Beginner-Friendly Guide to AI Concepts
TLDR: Ever wonder how Netflix nails your movie recommendations or how your email knows what's spam? That's Machine Learning.
- 26 min
Supervised Learning Algorithms: A Deep Dive into Regression and Classification
Supervised Learning is the workhorse of modern AI. In this guide, we peel back the layers of its most popular algorithms.
- 34 min
Unsupervised Learning: Clustering and Dimensionality Reduction Explained
In the real world, data is rarely neatly labeled. Unsupervised Learning is the art of finding hidden structures in raw, chaotic data.
- 45 min
Neural Networks Explained: From Neurons to Deep Learning
Neural Networks are the engine behind the modern AI revolution (like ChatGPT and Midjourney).
- 56 min
Deep Learning Architectures: CNNs, RNNs, and Transformers
Just as you wouldn't use a hammer to tighten a screw, you need different Neural Networks for different tasks.
Featured Article
Machine Learning Fundamentals: A Beginner-Friendly Guide to AI Concepts
TLDR: Ever wonder how Netflix nails your movie recommendations or how your email knows what's spam? That's Machine Learning.
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LLD for Tic Tac Toe: Designing a Scalable Game
TLDR: Designing Tic Tac Toe isn't just about a 3x3 grid. A good design handles \\(N \\times N\\) boards, multiple players, and different winning strat
API Gateway vs Load Balancer vs Reverse Proxy: What's the Difference?
TLDR: These three terms are often used interchangeably because they overlap. A Reverse Proxy hides the server. A Load Balancer distributes traffic. An API Gateway manages APIs (Auth, Rate Limiting). Think of them as a hierarchy: An API Gateway is a L...
LLM Hyperparameters Guide: Temperature, Top-P, and Top-K Explained
TLDR: Hyperparameters are the knobs you turn before generating text. Temperature controls randomness (Creativity vs. Focus). Top-P controls the vocabulary pool (Diversity). Frequency Penalty stops the model from repeating itself. Knowing how to tune ...
Mastering Prompt Templates: System, User, and Assistant Roles with LangChain
TLDR: A prompt isn't just a single string of text. Modern LLMs (like GPT-4) expect a structured list of messages. The System sets the behavior, the User provides the input, and the Assistant stores the history. Using tools like LangChain helps manage...
Webhooks Explained: Don't Call Us, We'll Call You
TLDR: Polling is like asking "Are we there yet?" every 5 seconds. Webhooks are like the driver tapping you on the shoulder when you arrive. They allow systems to communicate in real-time by sending HTTP POST requests when an event occurs, saving reso...
Tokenization Explained: How LLMs Understand Text
TLDR: Computers don't read words; they read numbers. Tokenization is the process of breaking text down into smaller pieces (tokens) and converting them into numerical IDs that a Large Language Model can process. It's the foundational first step for a...
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Abstract Algorithms
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Exploring the fascinating world of algorithms, data structures, and software engineering through clear explanations and practical examples.