Object detection: an overview in the age of Deep Learning

Object detection: an...

There’s no shortage of interesting problems in computer vision, from simple image classification to 3D-pose estimation. One of the problems we’re most interested in and have worked on a bunch is object detection. Like many other computer vision problems, there still isn’t an obvious or even “best” way to approach the problem, meaning there’s still […]

What is Machine Learning?

What is Machine Lear...

In this post we’ll provide a general introduction to machine learning, which tries to highlight the underlying technical challenges and where we have solutions. Machine learning is the principle technology underpinning the recent advances in artificial intelligence. But what is machine learning? And why is it important? Machine learning is perhaps the principal technology behind […]

ML: An In-Depth Guide – Unsupervised Learning, Related Fields, and ML in Practice

ML: An In-Depth Guid...

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the fifth and final article in a five-part series about machine learning. In this final article, we will revisit unsupervised […]

Surviving the Impending AI/ML/DS Arms Race

Surviving the Impend...

Overview: In this video you will learn how bring the benefits of machine learning and artificial intelligence to your business. Jeremy explains in 5 simple steps the route to become more AI/ML driven in your company. Learning outcomes: You will learn the difference between Artificial Intelligence, Deep Learning, Machine Learning, Data Science. Your will learn […]

Machine Learning: An In-Depth Guide – Model Performance and Error Analysis

Machine Learning: An...

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the fourth article in a five-part series about machine learning. In this article, we will take a deeper dive into […]

Machine Learning Meets Quantum Mechanics

Machine Learning Mee...

Recently, I have published an article on Journal of Chemical Physics, entitled Tree based machine learning framework for predicting ground state energies of molecules (link to article and preprint). The article discusses in detail, the application of machine learning algorithms to predict ground state energies of molecules. Current standard of computationally efficient electronic structure simulations is unarguably based on Density Functional […]

Machine Learning: An In-Depth Guide – Model Evaluation, Validation, Complexity, and Improvement

Machine Learning: An...

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the third article in a five-part series about machine learning. In this article, we’ll continue our machine learning discussion, and […]

Machine Learning: An In-Depth Guide – Data Selection, Preparation, and Modeling

Machine Learning: An...

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the second article in a five-part series about machine learning. In this article, we will briefly introduce model performance concepts, […]

Machine Learning: An In-Depth Guide – Overview, Goals, Learning Types, and Algorithms

Machine Learning: An...

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome! This is the first article of a five-part series about machine learning. Machine learning is a very hot topic for many […]