Category
Topics
Machine Learning Tutorial
Get insights & best practices into AI & machine learning, upskill, and build data cultures. Learn how to get the most out of machine learning models with our tutorials.
Textacy: An Introduction to Text Data Cleaning and Normalization in Python
Discover how Textacy, a Python library, simplifies text data preprocessing for machine learning. Learn about its unique features like character normalization and data masking, and see how it compares to other libraries like NLTK and spaCy.
Mustafa El-Dalil
September 18, 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
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
June 30, 2023
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
Seeing Like a Machine: A Beginner's Guide to Image Analysis in Machine Learning
Discover how computers ‘see’ and interpret images, techniques used to manipulate images, and how machine learning has changed the game.
Amberle McKee
June 9, 2023
Containerization: Docker and Kubernetes for Machine Learning
Unleashing the Power of Docker and Kubernetes for Machine Learning Success
Moez Ali
May 30, 2023
Explainable AI - Understanding and Trusting Machine Learning Models
Dive into Explainable AI (XAI) and learn how to build trust in AI systems with LIME and SHAP for model interpretability. Understand the importance of transparency and fairness in AI-driven decisions.
Zoumana Keita
May 10, 2023
Converting Speech to Text with the OpenAI Whisper API
Discover the powerful capabilities of OpenAI Whisper Python API for transcription and translation. It comes with multi-language support and prompt enhancement for accurate transcription.
Abid Ali Awan
April 20, 2023
Docker for Data Science: An Introduction
In this Docker tutorial, discover the setup, common Docker commands, dockerizing machine learning applications, and industry-wide best practices.
Arunn Thevapalan
January 27, 2023
Association Rule Mining in Python Tutorial
Uncovering Hidden Patterns in Python with Association Rule Mining
Moez Ali
January 23, 2023
Precision-Recall Curve in Python Tutorial
Learn how to implement and interpret precision-recall curves in Python and discover how to choose the right threshold to meet your objective.
Vidhi Chugh
January 19, 2023
An Introduction to Hierarchical Clustering in Python
Understand the ins and outs of hierarchical clustering and its implementation in Python
Zoumana Keita
January 19, 2023