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How to Prepare for AI and ML Interviews at Big Tech Without Chaos in Your Head
A developer turned his interview prep into a structured repository and landed offers at Meta, Google, Amazon, Apple, and Roku. Here's what's inside.
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How to Calculate Derivative Risks and Prices in Python at C++ Speed
FinancePy is a pure Python library for pricing derivatives that uses Numba JIT compilation to achieve C++ speeds while keeping code readable.
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How to Build a Conversational AI Assistant on Your Own Data with LLM Zoomcamp
A practical guide to building a conversational AI assistant using the free LLM Zoomcamp course from DataTalksClub. Learn about RAG, vector search, and agents.
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Prompt Evolution Instead of RL Under the Hood of the GEPA Framework
GEPA uses genetic algorithms with Pareto optimization to evolve prompts and text artifacts, replacing expensive RL approaches with just 100-500 runs.
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Robotics and Computer Vision in Python Without Paid MATLAB Licenses
A practical guide to robotics and computer vision in Python using free open-source libraries as an alternative to expensive MATLAB toolboxes.
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How Not to Drown in a Sea of ML Content and Build Your Own Learning Roadmap
Discover a curated Korean ML learning roadmap with 3,000+ stars. From pandas basics to GANs and LLMs — a structured path through the noise.
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How Code from MIT Helps Save Lives in the ICU
MIT's mimic-code repository has been the gold standard for medical datasets for nearly a decade. Here's why it matters for developers.
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How to Stop Guessing from Charts and Start Coding Like a Real Quant
Discover why retail traders lose while quant funds thrive. A deep dive into Quant-Guild-Library, an educational hub bridging quantitative finance theory with practical Python code for algorithmic trading, options, and ML in finance.
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CLIP from OpenAI - when images and text find common ground
CLIP from OpenAI learns visual concepts from natural language descriptions, enabling zero-shot classification without labeled datasets.
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How Neural Network Giants Work Under the Hood
A deep dive into AIInfra, a massive educational repository that breaks down neural network infrastructure from hardware clusters to distributed training algorithms.
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How Python helps you earn on the stock market without magic or insider tips
A practical guide to algorithmic trading with Python, covering stock selection, trade timing, and backtesting strategies.
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LIBERO: Teaching Robots Not to Forget Old Tricks
LIBERO is a framework and benchmark for lifelong robot learning, solving catastrophic forgetting by enabling robots to accumulate skills without losing existing ones.
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