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KDnuggets
16  janvier     15h00
An Introduction to Ray: The Swiss Army Knife of Distributed Computing
Jayita Gulati    Need a simple way to scale Python applications Ray makes distributed computing easy for tasks like machine learning and data processing.
    13h00
My Top Picks: 5 Free NLP Courses I’d Recommend for 2025
Kanwal Mehreen    Want to become an NLP pro by Check out these top free courses and learn from experts who’ve shaped the future of language models.
15  janvier     17h00
A Gentle Introduction to Rust for Python Programmers
Jayita Gulati    Rust is a systems programming language that offers high performance and safety. Python programmers will find Rust’s syntax familiar but with more control over memory and performance.
    15h00
Answer Data Questions for Non-Technical Stakeholders
Nisha Arya    In this article, I will go through key elements that will help you answer data questions for your non technical audience with ease.
    13h00
Exploring Multilingual LLMs with Aya Expanse
Cornellius Yudha Wijaya    Read this to understand the most advanced open source multilingual model.
14  janvier     17h00
These Are The Soft Skills You Will Need As A Data Scientist in 2025
Nisha Arya    Check these top recommendations on the soft skills you need to refine and perfect for .
    16h00
10 Essential SQL Commands for Data Analysis
Nate Rosidi    What are essential commands for data analysis in SQL This article will answer this question by mentioning SQL commands.
    15h15
7 Easy Ways to Make Passive Income with Large Language Models
Kanwal Mehreen    Looking for extra income Here are creative ways to use large language models for passive earnings
13  janvier     15h00
How I Would Learn Python in 2025 (If I Could Start Over)
Bala Priya C    I’ve been programming with Python for over years now. But if I could start over, here’s how I’d go about learning Python in .
    13h00
Complete Guide to Cross-Validation
Shittu Olumide    This guide will explore the ins and outs of cross validation, examine its different methods, and discuss why it matters in today’s data science and machine learning processes.