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Learn how to work with AI, while strengthening your unique human skills that technology cannot…
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The real value lies in writing clearer code and using your tools right
8 min read
Latest
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How much of your AI agent’s output is real data versus confident guesswork?
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Sorting through the good, bad, and ambiguous aspects of vibe coding
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Are the human-like cognitive abilities of LLMs real or fake? How does information travel through…
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Stop guessing and start diagnosing performance issues using Py-Spy
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A simple mental model to remember when each one works (with examples that finally click).
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This article covers how Azure ML’s persistent, workspace-centric compute resources differ from AWS SageMaker’s on-demand,…
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Learn how to be an effective full-stack engineer with Claude Code
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Step-by-step guide to building autonomous memory retrieval systems
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The case against pre-built tools in Agentic Architectures
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Editor’s Picks
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From YOLOv1 to YOLOv2: prior box, k-means, Darknet-19, passthrough layer, and more
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Distributed Reinforcement Learning for Scalable High-Performance Policy Optimization
Machine LearningLeveraging massive parallelism, asynchronous updates, and multi-machine training to match and exceed human-level performance
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A beginner-friendly Python tutorial
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How to structure decisions, identify efficient options, and avoid misleading value metrics
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Randomization usually balances confounders in experiments, but what happens when it doesn’t?
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From notebooks to real-world systems
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Recognize data science as an engineering practice and structure education accordingly.
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Learning audio embeddings with contrastive learning and deploying them in a real music recommendation app
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The Variable Newsletter
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Don’t miss our most-read and -shared stories of the past month
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Let’s zoom in on recent approaches that push AI-powered workflows to the next level
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Deep Dives
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Distributed agents need only decide one move ahead.
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A walkthough of creating an ETL pipeline to extract local crime data and visualize it…
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Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the “Bag of Agents”
Agentic AIHard-won lessons on how to scale agentic systems without scaling the chaos, including a taxonomy…
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A new kind of hyperparameter study
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Implementing cross-silo federated learning step by step
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Estimating neighborhood-level pedestrian risk from real-world incident data
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