Algorithms Leave a comment

Collaborators: AI and the economy with Brendan Lucier and Mert Demirer

[TEASER ENDS]  GRETCHEN HUIZINGA: You’re listening to Collaborators, a Microsoft Research Podcast showcasing the range of expertise that goes into transforming mind-blowing ideas into world-changing technologies. I’m Dr. Gretchen Huizinga. [MUSIC FADES]  On today’s episode, I’m talking to Dr. Brendan Lucier, a senior principal researcher in the economics and computation group at Microsoft Research, and Dr. Mert Demirer, an assistant professor of applied economics at the MIT Sloan School of Management. Brendan and Mert are exploring the economic impact of […]

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Python

Quiz: Asynchronous Iterators and Iterables in Python

Interactive Quiz ⋅ 10 QuestionsBy Leodanis Pozo Ramos Share Or copy the link: Copied! Happy Pythoning! Test your understanding of how to create and use Python async iterators and iterables in the context of asynchronous code. You can take this quiz after reading the Asynchronous Iterators and Iterables in Python tutorial. The quiz contains 10 questions and there is no time limit. You’ll get 1 point for each correct answer.    

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Python

Asynchronous Iterators and Iterables in Python

When you write asynchronous code in Python, you’ll likely need to create asynchronous iterators and iterables at some point. Asynchronous iterators are what Python uses to control async for loops, while asynchronous iterables are objects that you can iterate over using async for loops. Both tools allow you to iterate over awaitable objects without blocking your code. This way, you can perform different tasks asynchronously. In this tutorial, you’ll: Learn what async iterators and iterables are in Python Create async […]

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Machine Learning

Integrating Scikit-Learn and Statsmodels for Regression

Statistics and Machine Learning both aim to extract insights from data, though their approaches differ significantly. Traditional statistics primarily concerns itself with inference, using the entire dataset to test hypotheses and estimate probabilities about a larger population. In contrast, machine learning emphasizes prediction and decision-making, typically employing a train-test split methodology where models learn from a portion of the data (the training set) and validate their predictions on unseen data (the testing set). In this post, we will demonstrate how […]

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Machine Learning

Tips for Tuning Hyperparameters in Machine Learning Models

Image by Author | Created on Canva If you’re familiar with machine learning, you know that the training process allows the model to learn the optimal values for the parameters—or model coefficients—that characterize it. But machine learning models also have a set of hyperparameters whose values you should specify when training the model. So how do you find the optimal values for these hyperparameters? You can use hyperparameter tuning to find the best values for the hyperparameters. By systematically adjusting […]

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Python

Quiz: Functional Programming in Python: When and How to Use It

Interactive Quiz ⋅ 10 QuestionsBy Martin Breuss Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of Functional Programming in Python. By working through this quiz, you’ll revisit the functional programming paradigm, the concept of functions as first-class citizens in Python, the use of the lambda keyword, and how to implement functional code using map(), filter(), and reduce(). The quiz contains 10 questions and    

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Python

Interacting With REST APIs and Python

There’s an amazing amount of data available on the Web. Many web services, like YouTube and GitHub, make their data accessible to third-party applications through an application programming interface (API). One of the most popular ways to build APIs is the REST architecture style. Python provides some great tools not only to get data from REST APIs but also to build your own Python REST APIs. In this video course, you’ll learn: What REST architecture is How REST APIs provide […]

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Artificial intelligence Leave a comment

Players, creators, and AI collaborate to build and expand rich game narratives

This paper was presented at the IEEE 2024 Conference on Games (opens in new tab) (IEEE CoG 2024), the leading forum on innovation in and through games. In the fast-evolving landscape of video game development, crafting dialogues and narratives is a labor-intensive endeavor. Traditionally, creating these elements involved meticulous hand-coding, resulting in static interactions that limit player agency. However, the rise of large language models (LLMs) is introducing possibilities for richer, more dynamic narrative  

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Artificial intelligence Leave a comment

GENEVA uses large language models for interactive game narrative design

This paper was presented at the IEEE 2024 Conference on Games (opens in new tab) (IEEE CoG 2024), the leading forum on innovation in and through games. Mastering the art of storytelling, a highly valued skill across films, novels, games, and more, requires creating rich narratives with compelling plots and characters. In recent years, the rise of AI has prompted inquiries into whether large language models (LLMs) can effectively generate and sustain detailed, coherent storylines that engage audiences.  

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Python

Strings and Character Data in Python

Python’s strings are ordered sequences of characters. Because of this, you can access individual characters from a string using the characters’ associated index. What’s a character’s index? Each character in a string has an index that specifies its position. Indices are integer numbers that start at 0 and go up to the number of characters in the string minus one. In the following sections, you’ll learn how to run these two operations on your Python strings. Indexing Strings You can […]

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