Back to Machine Learning Basics – Classification Algorithms

Back to Machine Learning Basics – Classification Algorithms

The code that accompanies this article can be found here. In the previous article, we started exploring some of the basic machine learning algorithms. There we covered Linear Regression, it’s variations and we implemented it from scratch with Python. We also...
Create Deepfakes in 5 Minutes with First Order Model Method

Create Deepfakes in 5 Minutes with First Order Model Method

Deepfakes have entered mainstream culture. These realistic-looking fake videos, in which it seems that someone is doing and/or saying something even though they didn’t, went viral a couple of years ago. If fact, the term first appeared back in 2017, when...
Receptive Field Arithmetic for Convolutional Neural Networks

Receptive Field Arithmetic for Convolutional Neural Networks

In the past couple of years, convolutional neural networks became one of the most used deep learning concepts. They are used in a variety of industries for object detection, pose estimation, and image classification. For example, in healthcare, they are heavily used...
Python 3.9 – The Shape of Things to Come

Python 3.9 – The Shape of Things to Come

Python 3.9 is scheduled for 5th October 2020. There is still a long way to go until then, however, with the latest alpha 3.9.0a6 released last week and the beta version is just around the corner, we can already discuss new features. In this article, we explore some...
Using MongoDB in Python

Using MongoDB in Python

In our Definite Guide to MongoDB, we covered a lot of ground. There you can get more information about NoSQL databases, what they are, how they can be used, and which are the benefits of using one. Apart from that, you can find more information about different types...