Akkio – How to Add Machine Learning to Your Python Project in 30 Lines

AI is hard! Transforming tensors, cleaning data, building complicated networks- these are all specialized skills that can take months or even years to learn. But the times are a-changin’. Businesses understand that adopting state-of-the-art AI is no longer a choice.  Of course, those burdened with actually implementing that AI are the software devs. High-level talk … Read more

Python OpenCV Image Processing – Resize, Blend, Blur, Threshold, Convert

This tutorial is an introduction to the OpenCV library. Learn how to convert color channels, resize, blend, blur, and threshold images in Python. The OpenCV [1] library contains most of the functions we need for working with images. Handling images in programming requires a different intuition than handling text data. An image is made up … Read more

What are the Applications of Graphs in Computer Science?

[Reading time: 9 minutes] Graphs are everywhere. They are used in social networks, the world wide web, biological networks, semantic web, product recommendation engines, mapping services, blockchains, and Bitcoin flow analyses. Furthermore, they’re used to define the flow of computation of software programs, to represent communication networks in distributed systems, and to represent data relationships … Read more

Best 15+ Machine Learning Cheat Sheets to Pin to Your Toilet Wall

Toilet Wall Cheat Sheet

This article compiles for you the 15 best cheat sheets in the web that help you get started with machine learning. If you’re short on time, here are the 15 direct PDF links (open in a new tab): Supervised Learning (Afshine Amidi) Unsupervised Learning (Afshine Amidi) Deep Learning (Afshine Amidi) Machine Learning Tips and Tricks … Read more

A Bird’s-Eye Perspective on Artificial Intelligence–Written by an AI

This article is contributed by our friendly AI from InferKit that uses a deep neural network to generate text automatically. I (human) guided the AI by proposing different subheadings that may be of interest to the reader. Surprisingly, there are many unique perspectives in the article—and some totally wrong “facts”. So, enjoy this fascinating demonstration … Read more

How to Extract Text from Images in Python using OpenCV and EasyOCR

You can extract text from images with EasyOCR, a deep learning-based OCR tool in Python. EasyOCR performs very well on invoices, handwriting, car plates, and public signs. First released in 2007, PyTesseract [1] is the to-go library for extracting text from images. It uses classical computer vision methods to perform optical character recognition (OCR), then … Read more

Logistic Regression Scikit-learn vs Statsmodels

What’s the difference between Statsmodels and Scikit-learn? Both have ordinary least squares and logistic regression, so it seems like Python is giving us two ways to do the same thing. Statsmodels offers modeling from the perspective of statistics. Scikit-learn offers some of the same models from the perspective of machine learning. So we need to … Read more