XGBoost With Python Mini-Course

XGBoost With Python Mini-Course

XGBoost is an implementation of gradient boosting that is being used to win machine learning competitions. It is powerful but it can be hard to get started. In this post you will discover a 7-part crash course on XGBoost with Python. This mini course is designed for Python machine learning practitioners that are already comfortable […]

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How To Improve Deep Learning Performance

How To Improve Deep Learning Performance

20 Tips, Tricks and Techniques That You Can Use To Fight Overfitting and Get Better Generalization How can you get better performance from your deep learning model? It is one of the most common questions I get asked. It might be asked as: How can I improve accuracy? …or it may be reversed as: What […]

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What You Think You Know About Deep Learning Is A Lie

What You Know About Deep Learning Is A Lie

Getting started in deep learning is a struggle. It’s a struggle because deep learning is taught by academics, for academics. If you’re a developer (or practitioner), you’re different. You want results. The way practitioners learn new technologies is by developing prototypes that deliver value quickly. This is a top-down approach to learning, but it is not the way […]

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How to Configure the Gradient Boosting Algorithm

How to Configure the Gradient Boosting Algorithm

Gradient boosting is one of the most powerful techniques for applied machine learning and as such is quickly becoming one of the most popular. But how do you configure gradient boosting on your problem? In this post you will discover how you can configure gradient boosting on your machine learning problem by looking at configurations […]

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