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Understanding probability is essential in data science. In 4 minutes, I'll demolish your confusion. Let's go!
Is your RAG system a paperweight? It is if it can't handle a simple follow-up question. Building basic RAG is easy. The real challenge is engineering systems that go beyond simple retrieval and actually do more with your data. This is how you build a RAG pipeline that can…
Are you currently hiring for a role that includes using Node.js? Reply with a link to the opening and any relevant context. If you're not, we'd appreciate a repost for visibility 💚
SQL vs Python for Data Tasks: A must-have for analysts & data scientists leveling up skills! #SQL #Python #Pandas #DataScience #BusinessIntelligence #DataAnalytics #MachineLearning #ArtificialIntelligence #Developers #DataAnalyst #ProgrammingLanguage #Coding
This is a collection of 300 ML system design case studies in the real world, from Stripe, Spotify, Netflix, Meta, etc. Perfect for interviews and to learn how it’s done in the real world. Link in the comment section.
LeetCode was HARD until I Learned these 15 Patterns: 1. Prefix Sum 2. Two Pointers 3. Sliding Window 4. Fast & Slow Pointers 5. LinkedList In-place Reversal 6. Monotonic Stack 7. Top ‘K’ Elements 8. Overlapping Intervals 9. Modified Binary Search 10. Binary Tree Traversal 11.…
Boxplots are one of the most useful tools in my Data Science arsenal. In 6 minutes, I'll eviscerate your confusion. Let's dive in.
One book at a time Fundamentals + Hands-on
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