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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.
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
Decision Trees in Machine Learning Using R
A comprehensive guide to building, visualizing, and interpreting decision tree models with R.
Arunn Thevapalan
James Le
June 1, 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
Python Machine Learning: Scikit-Learn Tutorial
An easy-to-follow scikit-learn tutorial that will help you get started with Python machine learning.
Kurtis Pykes
April 14, 2023
Convolutional Neural Networks (CNN) with TensorFlow Tutorial
Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with Tensorflow Framework 2
Zoumana Keita
April 14, 2023
Ensemble Modeling Tutorial: Explore Ensemble Learning Techniques
In this tutorial, you'll learn what ensemble is and how it improves the performance of a machine learning model.
Zoumana Keita
March 30, 2023
K-Means Clustering in R Tutorial
Learn what k-means is and discover why it’s one of the most used clustering algorithms in data science
Eugenia Anello
March 21, 2023
Introduction to k-Means Clustering with scikit-learn in Python
In this tutorial, learn how to apply k-Means Clustering with scikit-learn in Python
Kevin Babitz
March 10, 2023