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Detect bottle fill level with 50 lines of Python

August 7, 2019 Peter

Since the introduction of Machine Learning and Deep Learning in Computer Vision, it’s tempting to use these statistical tools all…

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Image Processing basics: Thresholding

July 31, 2019 Peter

One of the key aims of image processing is the demarcation of objects in digital images. This process is called…

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Machine Learning basics: NumPy

July 25, 2019 Peter

Machine Learning data comes in a wide range of formats such as videos, images, sound clips, text and sensor data.…

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Machine Learning basics: Logistic Regression

July 17, 2019 Peter

Last week we looked at how the simplest of Machine Learning models, Linear Regression, can be used to predict continuous…

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Machine Learning basics: Linear Regression

July 10, 2019 Peter

In the first of a series of blogs introducing the key Machine Learning models, we’ll start this week by looking…

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Machine Learning basics: Jupyter Notebooks

July 3, 2019 Peter

Jupyter Notebooks are becoming the cornerstone tool for data scientists and Machine Learning practitioners. Why the sudden growth in popularity?…

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Python basics: what is a virtual environment?

June 25, 2019 Peter

If you work with Python you’ve most certainly heard of virtual environments, and hopefully you’re using them, but what concretely…

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Machine Learning basics: how are models trained?

June 19, 2019 Peter

Machine Learning models are ‘trained’ but what concretely does ‘training’ mean in the context of a model? This article explains…

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Machine Learning basics: what is a model?

June 12, 2019 Peter

In Machine Learning literature, we often hear about the ‘model’ but what concretely is a Machine Learning model? This article…

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Python Robustness: beyond the perception

June 5, 2019 Peter

In the embedded software domain, where C and C++ dominate, Python is often perceived as not being a serious language…

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