Minute 1: Install Dash Type the following command in your terminal/shell. Windows, macOS: Linux, Ubuntu: Minute 2: Create Minimal Dash Project File “app.py” Copy&paste the code into a new file called “app.py” in a folder – with path /path/to/dash_app/app.py: Minute 3: Run Dash App Open a terminal or shell in the /path/to/dash_app/ and run python …
Your First Dash App – How to Get Started in 4 Minutes or Less Read More »
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 …
Akkio – How to Add Machine Learning to Your Python Project in 30 Lines Read More »
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 …
Python OpenCV Image Processing – Resize, Blend, Blur, Threshold, Convert Read More »
[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 …
What are the Applications of Graphs in Computer Science? Read More »
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 …
Best 15+ Machine Learning Cheat Sheets to Pin to Your Toilet Wall Read More »
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 …
A Bird’s-Eye Perspective on Artificial Intelligence–Written by an AI Read More »
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 …
How to Extract Text from Images in Python using OpenCV and EasyOCR Read More »
Hey Finxters! I have another set of cheat sheets for you! This time, I am going to focus on the more advanced aspects of Python and what you can do with it! As you know Python is a flexible language used in web development, games, and desktop applications. I am not going to waste too …
Hey Finxters! It is time for another Python Cheat Sheet! As a brief introduction, OpenCV is an open-source computer vision and machine learning software library of programming functions mainly aimed at real-time computer vision. In this article, I am bringing you the best 10 Python cheat sheets on OpenCV. Let me introduce Python OpenCV to …
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 …
Hey Finxters! Today we are going to talk about one of the most popular clustering algorithms: K-Means. Ever wondered how to organize seemingly unstructured data, making sense of unordered objects, in an easy way? For example, you might need to: perform customer segmentation store files based on their text content compress images with your own …
Machine Learning (ML) is a sought-after skill in today’s automated world. Google is one of the key players in the Machine Learning space. With the growing scale and popularity of deep learning, the limitations of a single machine become more and more pronounced. Motivation Training a model on a single computer can take a long …