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In this post, we will learn about Principal Component Analysis (PCA) — a popular dimensionality reduction technique in Machine Learning. Our goal is to form an intuitive understanding of PCA
If you haven’t been to the Wizarding World of Harry Potter or don’t know what an ‘interactive wand’ is, you are kinda missing out on a really well designed experience
This is an old blog and some information might be obsolete. We have published new instructions. You can find them here: Setup exe installers for Windows Install OpenCV from source
In this article, we will learn about autoencoders in deep learning. We will show a practical implementation of using a Denoising Autoencoder on the MNIST handwritten digits dataset as an
The first batch of our course on Computer Vision for Faces has graduated and I am very excited to announce the Best Project Award for our course. It has a
In this post, we will introduce several new concepts associated with the general problem of classification involving more than two classes. This is sometimes referred to as multinomial regression or
