Machine Learning

Understanding RAG Part I: Why It’s Needed

Understanding RAG Part I: Why It’s NeededImage by Editor | Midjourney Natural language processing (NLP) is an area of artificial intelligence (AI) aimed at teaching computers to understand written and verbal human language and interact with humans by using such a language. Whilst traditional NLP methods have been studied for decades, the recent emergence of large language models (LLMs) has virtually taken over all developments in the field. By combining sophisticated deep learning architectures with the self-attention mechanism capable of […]

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Machine Learning

5 Free Datasets to Kickstart Your Machine Learning Projects Today

5 Free Datasets to Kickstart Your Machine Learning Projects TodayImage by Editor | Midjourney There are many free datasets online that help you practice and learn. These datasets allow you to try different machine learning techniques and improve your skills. You can find these datasets on platforms like Kaggle and UCI Machine Learning Repository. Here are five free datasets that can help you start your machine learning projects. 1. Iris Dataset Description: The Iris Dataset features information about three types […]

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Python

Quiz: Structural Pattern Matching

Interactive Quiz ⋅ 11 QuestionsBy Bartosz Zaczyński Share In this quiz, you’ll test your understanding of Structural Pattern Matching in Python. You’ll revisit the syntax of the match statement and case clauses, explore various types of patterns supported by Python, and learn about guards, unions, aliases, and name binding. The quiz contains 11 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, you’ll receive a total score. The […]

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Python

Quiz: Python Closures: Common Use Cases and Examples

Interactive Quiz ⋅ 6 QuestionsBy Leodanis Pozo Ramos Share In this quiz, you’ll test your understanding of Python closures. Closures are a common feature in functional programming languages and are particularly popular in Python because they allow you to create function-based decorators. Take this quiz after reading our Python Closures: Common Use Cases and Examples tutorial. The quiz contains 6 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the […]

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Python

Build a Contact Book App With Python, Textual, and SQLite

Building projects is a great way to learn programming and have fun at the same time. When you work on a project, you apply different coding skills simultaneously, which is good practice for what you’ll do in a real-life project. In this tutorial, you’ll create a contact book application with a text-based interface (TUI) based on Python and Textual. To store the contact data, your app will use an SQLite database. In this tutorial, you’ll learn how to: Create the […]

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Artificial intelligence Leave a comment

Research Focus: Week of October 7, 2024

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. NEW RESEARCH Securely Training Decision Trees Efficiently In a recent paper: Securely Training Decision Trees Efficiently that will appear at ACM CCS 2024, researchers from Microsoft significantly reduce the communication complexity of secure decision tree training. Decision trees are an important  

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Machine Learning

Calculus for Machine Learning (7-day mini-course)

Calculus for Machine Learning Crash Course.Get familiar with the calculus techniques in machine learning in 7 days. Calculus is an important mathematics technique behind many machine learning algorithms. You don’t always need to know it to use the algorithms. When you go deeper, you will see it is ubiquitous in every discussion on the theory behind a machine learning model. As a practitioner, we are most likely not going to encounter very hard calculus problems. If we need to do […]

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Machine Learning

CatBoost Essentials: Building Robust Home Price Prediction Systems

Gradient boosting algorithms are powerful tools for prediction tasks, and CatBoost has gained popularity for its efficient handling of categorical data. This is especially valuable for the Ames Housing dataset, which contains numerous categorical features such as neighborhood, house style, and sale condition. CatBoost excels with categorical features through its innovative “ordered target statistics” approach. Unlike traditional methods that require extensive preprocessing (like one-hot encoding), CatBoost can work directly with categorical variables. It calculates statistics on the target variable for […]

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Machine Learning

7 Free Machine Learning Tools Every Beginner Should Master in 2024

7 Free Machine Learning Tools Every Beginner Should Master in 2024Image by Author | Created on Canva As a beginner in machine learning, you should not only understand algorithms but also the broader ecosystem of tools that help in building, tracking, and deploying models efficiently. Remember, the machine learning lifecycle includes everything from model development to version control, and deployment. In this guide, we’ll walk through several tools—libraries and frameworks—that every aspiring machine learning practitioner should familiarize themselves with. These […]

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Python

What’s New in Python 3.13

Python 3.13 was published on October 7, 2024. This new version is a major step forward for the language, although several of the biggest changes are happening under the hood and won’t be immediately visible to you. In a sense, Python 3.13 is laying the groundwork for some future improvements, especially to the language’s performance. As you watch the course, you’ll learn more about the background for this and dive into some new features that are fully available now. In […]

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