Archive | Machine Learning Process

How to Get Started with Kaggle

How to Get Started with Kaggle

4-Step Process for Getting Started and Getting Good at Competitive Machine Learning. Kaggle is a community and site for hosting machine learning competitions. Competitive machine learning can be a great way to develop and practice your skills, as well as demonstrate your capabilities. In this post, you will discover a simple 4-step process to get […]

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Swedish Auto Insurance Dataset

10 Standard Datasets for Practicing Applied Machine Learning

The key to getting good at applied machine learning is practicing on lots of different datasets. This is because each problem is different, requiring subtly different data preparation and modeling methods. In this post, you will discover 10 top standard machine learning datasets that you can use for practice. Let’s dive in. Update Mar/2018: Added […]

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Machine Learning Checklist

How to Use a Machine Learning Checklist to Get Accurate Predictions, Reliably

How do you get accurate results using machine learning on problem after problem? The difficulty is that each problem is unique, requiring different data sources, features, algorithms, algorithm configurations and on and on. The solution is to use a checklist that guarantees a good result every time. In this post you will discover a checklist […]

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Choosing Machine Learning Algorithms

Choosing Machine Learning Algorithms: Lessons from Microsoft Azure

Microsoft recently launched support for machine learning in their Azure cloud computing platform. Buried in some of their technical documentation for the platform are some resources that you may find useful for thinking about what machine learning algorithm to use in different situations. In this post we take a look at the Microsoft recommendations for […]

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