This StatQuest shows how the methods used to determine if a linear regression is statistically significant (covered in part 1) can be applied to t-tests and ANOVA. It also introduces the concept of a "design matrix". Part 1 of this series on GLMs (general…

👉 AI Vision Courses + Community → https://www.skool.com/ai-vision-academy

➤ PROJECT SOURCE CODE:
The source code for this project and a full tutorial where I show step by step how to build this project from scratch is available to download inside the course…

This video describes how to use a Python notebook we have shared for Human Action Recognition on Google Colab.
Human action recognition involves analyzing the video footage to predict or classify various actions performed by the person in that video. It…

Implemented in 3 code libraries.

Blog: https://pysource.com/2021/12/07/how-to-count-people-from-cctv-cameras-with-opencv-and-deep-learning/

We will see how to identify and count people from CCTV cameras with the highest accuracy possible. I will explain the main problems you might find…

There are many useful libraries in python with functions to register images. This video explains 4 different ways to register images using the functions available in image_registration and scikit-image packages. It specifically covers image registration using…

The basics of Markov Chains, one of my ALL TIME FAVORITE objects in data science.

With over 250 libraries in Python, it can a bit confusing to know which one is best for your project. Caelan walks you through the top 40 libraries and how they're used! Full list of libraries mentioned below.

⭐ Kite is a free AI-powered coding assistant…

In this article, we will specifically take a look at motion detection using a webcam of a laptop or computer and will create a code script to work on our computer and see its real-time example.

Join the discussion on this paper page

👉 AI Vision Courses + Community → https://www.skool.com/ai-vision-academy

In the last 2 years, since I started showing on YouTube project prototypes built with computer vision I have been contacted by workers of different industries, and Farm is one of…

CapsNets are a hot new architecture for neural networks, invented by Geoffrey Hinton, one of the godfathers of deep learning.

NIPS 2017 Paper:
* Dynamic Routing Between Capsules,
* by Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton
* https://arxiv.org/abs/1710.09829…

One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how we decide which machine learning method would be best for our dataset. Check out the video to find out how!

NOTE: This video illustrates…

Episode 24 of the Stanford MLSys Seminar Series!

Designing AI systems for deep learning recommendation and beyond
Speaker: Carole-Jean Wu

Abstract:
The past decade has witnessed a 300,000 times increase in the amount of compute for AI. The latest natural…

Want to start building body pose based apps?

Maybe want to control your screen using nothing but gestures!

Well, Mediapipe and Python are the answer! In fact, in this video you'll learn the basics for getting started with Body pose detection, facial landmark…

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Keep your Colab tabs alive with this nifty extension!

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Course Materials: https://github.com/maziarraissi/Applied-Deep-Learning

📚 Check out our FREE Tensorflow Bootcamp at OpenCV University : https://opencv.org/university/free-tensorflow-keras-course/
📚 Check out our Deep Learning Courses at OpenCV University :
* https://opencv.org/university/deep-learning-with-tensorflow-keras/…