Data Science Tutorials
Develop your data science skills with tutorials in our blog. We cover everything from intricate data visualizations in Tableau to version control features in Git.
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How to Train an LLM with PyTorch
Master the process of training large language models using PyTorch, from initial setup to final implementation.
Zoumana Keita
July 26, 2023
Ethics in Generative AI
Understand the transformative potential of generative AI and the necessary awareness of the risks associated with it.
Vidhi Chugh
July 20, 2023
Mojo Language: The New Programming Language for AI
An overview of a new programming language that is as simple as Python and as fast as Rust.
Abid Ali Awan
July 19, 2023
Distributed Processing using Ray framework in Python
Unlocking the Power of Scalable Distributed Systems: A Guide to Ray Framework in Python
Moez Ali
July 14, 2023
How to Use ChatGPT Code Interpreter
Everything you need to know about OpenAI’s ChatGPT advanced data analysis, formerly Code Interpreter.
Adel Nehme
July 28, 2024
Building Context-Aware Chatbots: Leveraging LangChain Framework for ChatGPT
Explore how to build context-aware chatbots using the ChatGPT and LangChain framework.
Andrea Valenzuela
July 12, 2023
Machine Learning Experimentation: An Introduction to Weights & Biases
Learn how to structure, log, and analyze your machine learning experiments using Weights & Biases.
George Boorman
July 4, 2023
Introduction to Deep Neural Networks
Understanding deep neural networks and their significance in the modern deep learning world of artificial intelligence
Bharath K
July 4, 2023
Power BI Dashboards vs Reports: A Comprehensive Guide
Explore the key differences and unique features of Power BI dashboards and reports. Learn how to leverage both tools effectively for data analysis, visualization, and decision-making.
Maarten Van den Broeck
June 30, 2023
An Introduction to Statistical Machine Learning
Discover the powerful fusion of statistics and machine learning. Explore how statistical techniques underpin machine learning models, enabling data-driven decision-making.
Joanne Xiong
December 16, 2024
An Introduction to SHAP Values and Machine Learning Interpretability
Machine learning models are powerful but hard to interpret. However, SHAP values can help you understand how model features impact predictions.
Abid Ali Awan
June 28, 2023
How to Build LLM Applications with LangChain Tutorial
Explore the untapped potential of Large Language Models with LangChain, an open-source Python framework for building advanced AI applications.
Moez Ali
February 13, 2024