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June 26, 2023

Machine Learning from Scratch

Presented by Thomas Nield

Build machine learning algorithms from scratch with Python Machine learning is becoming more accessible thanks to libraries like Scikit-learn and Tensorflow. As a matter of fact, it is becoming so accessible ...

June 12, 2023

Multimodal Machine Learning

Presented by Purvanshi Mehta

Handling images, language, and speech In this course, you’ll: Learn how to use a multimodal framework (MMF) for image and text applications Understand real-world applications involving multiple data sources Identify where ...

June 22, 2023

Introduction to Machine Learning in Cybersecurity

Presented by Chuck Easttom

This is an overview of how machine learning impacts cybersecurity. The first 60% of the course is an introduction to machine learning covering a wide range of techniques and algorithms. Then ...

June 12, 2023

Generate Images from Text using Diffusion Models: a hands-on approach

Presented by Jonathan Fernandes

A hands-on approach In this course, you’ll: Use diffusion models to generate images from text prompts Understand the building blocks of stable diffusion Demonstrate the interpretability and biases of these models ...

July 11, 2023

Machine Learning with Python

Presented by Noureddin Sadawi

How to Create Production-Quality Machine Learning Pipelines Develop Python code pipelines for data engineering and machine learning model training. Use existing powerful open-source packages, like scikit-learn, to write your own professional ...

July 12, 2023

Beyond Regression in Machine Learning

Presented by Brian Lucena

Data Modeling with Gradient Boosting Explore how modern tree-based machine learning methods can provide powerful insights such as interactions between predictors and key inflection points of features Use modern machine learning ...