ニュース
GitHub Copilot is getting smarter in both VS and VS Code. Here's a side-by-side look at what developers get in each IDE.
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...
GitHub CEO Thomas Dohmke shared a tip for faster 'vibe coding' in VS Code’s agent mode, one more step toward making Copilot feel like an autonomous AI coding assistant.
Suppose you observe a sequence of people entering a store and you record the color of shirt worn by each person. You see this sequence of 24 shirts: 0, 0, 3, 3, 2, 1 ...
Chances are if you've had many coding interviews you've been presented with a poker problem. Here's a great take from Dr. James McCaffrey of Microsoft Research. This article presents C# code for a ...
Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
Dr. James McCaffrey of Microsoft Research says the main advantage of scikit is that it's easy to use (even though most classes have many constructor parameters). Logistic regression is a machine ...
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...
Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random neighborhoods regression technique, where the goal is to predict a single numeric value. Compared ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...
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