M @_mihirpatel67
|| ॐ || Data Geek || #AI #ML 👨🏻💻 Data Scientist || I 😍 Reading in the dark cloud Joined December 2011-
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In machine learning, we use the dot product every day. However, its definition is far from revealing. For instance, what does it have to do with similarity? There is a beautiful geometric explanation behind:
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The single most undervalued fact of mathematics: mathematical expressions are graphs, and graphs are matrices. Yes, I know. You already heard this from me, but hear me out. Viewing neural networks as graphs is the idea that led to their success.
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The following multiplication method makes everybody wish they had been taught math like this in school. It's not just a cute visual tool: it illuminates how and why long multiplication works. Here is the full story:
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In calculus, going from a single variable to millions of variables is hard. Understanding the three main types of functions helps make sense of multivariable calculus. Surprisingly, they share a deep connection. Let's see why:
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This is literally everything you need to go from beginner to pro in AI
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a senior engineer at google just dropped a 400-page free book on docs for review: agentic design patterns. the table of contents looks like everything you need to know about agents + code: > advanced prompt techniques > multi-agent patterns > tool use and MCP > you name it
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Sometimes Its Hard
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This guy literally shows how to beat distractions in minutes
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If I had to learn the mathematics of machine learning from scratch, I'd follow this roadmap:
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The less you react, the more she obsesses.
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This guy literally dropped the best visual guide to LLMs you’ll ever see
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This is actually a fantastic roadmap for learning AI agents
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Caching (Redis, Memcached) What is Caching? Caching is the process of storing frequently accessed data in a temporary storage (cache) so future requests can be served faster. Instead of querying the database every time, the system retrieves data from the cache, reducing…
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how to design a distributed message queue
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