Machine Learning

Exploring LightGBM: Leaf-Wise Growth with GBDT and GOSS

LightGBM is a highly efficient gradient boosting framework. It has gained traction for its speed and performance, particularly with large and complex datasets. Developed by Microsoft, this powerful algorithm is known for its unique ability to handle large volumes of data with significant ease compared to traditional methods. In this post, we will experiment with LightGBM framework on the Ames Housing dataset. In particular, we will shed some light on its versatile boosting strategies—Gradient Boosting Decision Tree (GBDT) and Gradient-based One-Side […]

Read more
Python

Quiz: A Guide to Modern Python String Formatting Tools

Interactive Quiz ⋅ 10 QuestionsBy Leodanis Pozo Ramos Share Test your understanding of Python’s tools for string formatting, including f-strings and the .format() method. Take this quiz after reading our A Guide to Modern Python String Formatting Tools tutorial. The quiz contains 10 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 maximum score is 100%. Good luck! « Browse All Python […]

Read more
Python

A Guide to Modern Python String Formatting Tools

Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Formatting Python Strings When working with strings in Python, you may need to interpolate values into your string and format these values to create new strings dynamically. In modern Python, you have f-strings and the .format() method to approach the tasks of interpolating and formatting strings. To get the most out of this tutorial, […]

Read more
Python

Differences Between Python’s Mutable and Immutable Types

As a Python developer, you’ll have to deal with mutable and immutable objects sooner or later. Mutable objects are those that allow you to change their value or data in place without affecting the object’s identity. In contrast, immutable objects don’t allow this kind of operation. You’ll just have the option of creating new objects of the same type with different values. In Python, mutability is a characteristic that may profoundly influence your decision when choosing which data type to […]

Read more
Artificial intelligence Leave a comment

Data Formulator: Exploring how AI can help analysts create rich data visualizations 

Transforming raw data into meaningful visuals, such as charts, is key to uncovering hidden trends and valuable insights, but even with advances in AI-powered tools, this process remains complex. Integrating AI into the iterative nature of the data visualization process is particularly challenging, as data analysts often struggle to describe complicated tasks in a single text prompt while lacking the direct control of traditional tools. This highlights the need for smarter, more intuitive solutions that combine AI’s  

Read more
Python

Python 3.13: Cool New Features for You to Try

Python 3.13 will be published on October 1, 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 read on, you’ll learn more about the background for this and dive into some new features that are fully available now. In […]

Read more
Artificial intelligence Leave a comment

Abstracts: September 30, 2024

MARTIN GRAYSON: Pleasure, thank you.  DANIELA MASSICETI: Thanks very much, Amber. Nice to be here.  TINGLE: So, Daniela, let’s start with a Find My Things overview. What is it, how does it work, and who’s it for?  MASSICETI: I think the best way I can describe Find My Things is a personalizable object recognizer. So when we think about object recognizers in the past, they’ve, kind of, been what I would call generic object recognizers. So they can only really […]

Read more
Machine Learning

Navigating Missing Data Challenges with XGBoost

XGBoost has gained widespread recognition for its impressive performance in numerous Kaggle competitions, making it a favored choice for tackling complex machine learning challenges. Known for its efficiency in handling large datasets, this powerful algorithm stands out for its practicality and effectiveness. In this post, we will apply XGBoost to the Ames Housing dataset to demonstrate its unique capabilities. Building on our prior discussion of the Gradient Boosting Regressor (GBR), we will explore key features that differentiate XGBoost from GBR, […]

Read more
Python

Quiz: Python 3.13: Free Threading and a JIT Compiler

Interactive Quiz ⋅ 16 QuestionsBy Bartosz Zaczyński Share In this quiz, you’ll test your understanding of the new features in Python 3.13. By working through this quiz, you’ll revisit how to compile a custom Python build, disable the Global Interpreter Lock (GIL), enable the Just-In-Time (JIT) compiler, determine the availability of new features at runtime, assess the performance improvements in Python 3.13, and make a C extension module targeting Python’s new ABI. The quiz contains 16 questions and there is […]

Read more
1 … 36 37 38 39 40 … 935