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Tag: machine learning

#017 Face detection algorithms comparison

Highlights: Researchers and computer vision practitioners have generally developed many face detection algorithms. In this post, we will use 5 of the most popular algorithms. Also, we will compare their detection accuracy rate. Additionally, we will measure the runtime of these algorithms. Facial detection is a technique used by computer algorithms to detect a person’s face through images. Accordingly, the objective of facial detection is to get different features of human faces from images. Due to…
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Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset

A team of Computer vision researchers at Leia Inc. have released a large-scale database of 49,368 (~50k) stereoscopic image pairs collected from the popular Lightfield social media app Holopix™. This is the largest dataset of stereoscopic image pairs ever released publicly that contain in-the-wild scenarios captured from mobile phones. For context, the second-largest dataset in this category consists of only 1024 stereoscopic image pairs, almost 50 times less! The dataset is available for download immediately…
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#004 Linear Algebra – The determinant

Highlight: In this post we will explain what the determinant is and why we use it in linear algebra. We will give an interpretation of a determinant both in a 2-D and in a 3-D space. Also, we will show how to implement these calculations in Python. Tutorial Overview: Determinant in a 2-D coordinate system Determinant in a 3-D coordinate system 1. Determinant in a 2-D coordinate system In the previous post we saw how…
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#003 Linear Algebra – Linear transformations and matrices

Highlight: Hello and welcome back! This post will be quite an interesting one. We will show how a 2D plane can be transformed into another one. Understanding these concepts is a crucial step for some more advanced linear algebra/machine learning methods (e.g. SVD, PCA). So, let’s proceed and we will learn how to connect a matrix-vector multiplication with a linear transformation. Tutorial Overview: Linear transformation Linear transformation and basis vectors 2×2 Matrix as a linear…
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#000 Linear Algebra for Machine Learning

Highlights: Linear algebra is a branch of mathematics related to linear equations, linear functions and their representations through matrices and vector spaces. Basically, it is the science of numbers which empowers diverse Data Science algorithms and applications. To fully comprehend machine learning, linear algebra fundamentals are the essential prerequisite. In this post, you will discover what exactly linear algebra is and what are the main applications in the machine learning. Tutorial Overview: You will learn:…
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