Current Feed Content
- Training vs Inference: The Ultimate Alliance April 3, 2025Check out this essential guide to the difference between training and inference.Nisha Arya
- Debug and Profile NumPy Code to Identify Performance Bottlenecks April 3, 2025See how to improve the NumPy execution process by identifying the problems in our code.Cornellius Yudha Wijaya
- Lesser-Known Python Functions That Are Super Useful April 2, 2025Go beyond the basics by adding these cool and useful Python functions to your programming toolbox.Bala Priya C
- Exploring the Role of Smaller LMs in Augmenting RAG Systems April 2, 2025Let's discover what small language models (SLMs) are, how they can be used in RAG systems and applications, and when to use them over their large language counterparts.Iván Palomares Carrascosa
- 10 GitHub Repositories to Master Cloud Computing April 2, 2025Learn cloud computing concepts, tools, and best practices through free, community-driven content on GitHub.Abid Ali Awan
- Creating a Data Science Pipeline for Real-Time Analytics Using Apache Kafka and Spark April 1, 2025This article explains how to create a system that processes data in real time using Apache Kafka and Spark.Jayita Gulati
- Tips for Writing Better Unit Tests for Your Python Code April 1, 2025Not a fan of testing Python code? Take small steps today with these tips for writing better unit tests.Bala Priya C
- 5 Free Tutorials to Master Data Visualization with Seaborn April 1, 2025Data visualization in Python is a piece of cake with seaborn. Learn one of the most popular Python data visualization libraries with these five free tutorials.Nate Rosidi
- VIP Cheatsheet: Transformers & Large Language Models March 31, 2025Learn more about this handy resource created by Afshine and Shervine Amidi for Stanford's CME 295 course.Cornellius Yudha Wijaya
- 7 GitHub Projects to Master Machine Learning Operations March 28, 2025Learn model serving, CI/CD, ML orchestration, model deployment, local AI, and Docker to streamline ML workflows, automate pipelines, and deploy scalable, portable AI solutions effectively.Abid Ali Awan
KDnuggets
- Training vs Inference: The Ultimate Alliance April 3, 2025Check out this essential guide to the difference between training and inference.Nisha Arya
- Debug and Profile NumPy Code to Identify Performance Bottlenecks April 3, 2025See how to improve the NumPy execution process by identifying the problems in our code.Cornellius Yudha Wijaya
- Lesser-Known Python Functions That Are Super Useful April 2, 2025Go beyond the basics by adding these cool and useful Python functions to your programming toolbox.Bala Priya C
- Exploring the Role of Smaller LMs in Augmenting RAG Systems April 2, 2025Let's discover what small language models (SLMs) are, how they can be used in RAG systems and applications, and when to use them over their large language counterparts.Iván Palomares Carrascosa
- 10 GitHub Repositories to Master Cloud Computing April 2, 2025Learn cloud computing concepts, tools, and best practices through free, community-driven content on GitHub.Abid Ali Awan
- Creating a Data Science Pipeline for Real-Time Analytics Using Apache Kafka and Spark April 1, 2025This article explains how to create a system that processes data in real time using Apache Kafka and Spark.Jayita Gulati
- Tips for Writing Better Unit Tests for Your Python Code April 1, 2025Not a fan of testing Python code? Take small steps today with these tips for writing better unit tests.Bala Priya C
- 5 Free Tutorials to Master Data Visualization with Seaborn April 1, 2025Data visualization in Python is a piece of cake with seaborn. Learn one of the most popular Python data visualization libraries with these five free tutorials.Nate Rosidi
- VIP Cheatsheet: Transformers & Large Language Models March 31, 2025Learn more about this handy resource created by Afshine and Shervine Amidi for Stanford's CME 295 course.Cornellius Yudha Wijaya
- 7 GitHub Projects to Master Machine Learning Operations March 28, 2025Learn model serving, CI/CD, ML orchestration, model deployment, local AI, and Docker to streamline ML workflows, automate pipelines, and deploy scalable, portable AI solutions effectively.Abid Ali Awan
The presentation is a Data Normalisation tutorial and provides an overview of the key stages of data normalisation, first normal form (removing repeating groups...