A guest post by Thomas Wolf and Lysandre Debut from Hugging Face. All examples used in this tutorial are available on Colab. The links are…

Google at ICCV: https://ai.googleblog.com/2019/10/google-at-iccv-2019.html
ICCV: http://iccv2019.thecvf.com/

This video gives a quick overview of the 41 papers listed on Google AI's blog post covering research presented at ICCV 2019! Thanks for watching…

This State-of-the-Art book assesses the current state of research on explainable AI (XAI) and provides a timely snapshot of algorithms, theory, and able AI reflecting the current discourse in this field and providing directions of future development.

We propose a framework for evaluating the quality of solar irradiance probabilistic forecasts. The verification framework is based on visual diagnosti…

This story will show you how to extend the modular image processing pipeline using OpenCV and Python generators with a video stream.

As global AI development and deployment continues, the demand for AI talents is growing faster than ever. A number of industry leaders and…

"Clueless on Confusion Matrix?" by Sai Satish Babu N..

An amazingly written blog clarifying most of our confusions around Confusion Matrix.

https://lnkd.in...

Build and deploy AI models at the edge! Leverage the potential of edge computing using the Intel® Distribution of OpenVINO™ toolkit to fast-track development of high-performance computer vision and deep learning inference applications.

We are going to write a python script to train a custom supervised machine learning model using Tensorflow and Keras that will be able to…

University of Washington. Research interests: Machine Learning, Artificial
Intelligence, Optimization, Statistics

Understanding ML and deep learning through geometry - geometric-intuition/quantifying-uncertainty at master · leopd/geometric-intuition

The Data Engineering Cookbook. Contribute to andkret/Cookbook development by creating an account on GitHub.

UPDATE: We’ve also summarized the top 2020 Computer Vision research papers.  Today we can see how computer vision (CV) systems are revolutionizing whole industries and business functions with successful applications in healthcare, security, transportation…

Statisticians have some peculiar nomenclature; this document provides a translation from statistical terms to more common terms.

Deep Learning methods achieve state-of-the-art results on a suite of natural language processing problems. What makes this exciting is that single models are trained end-to-end, replacing a suite of specialized statistical models.

Get skilled with data analytics projects and python online courses. Learn Python and get hands-on experience with python machine learning and data science projects.

If you are working in Computer Vision problems beyond object classification, Here are great young researchers to follow in 2020

Detection, Segmentation...

+20 Data Scientist YouTube Channels to follow

**Update**
The list extended: +50 Data Science YouTube Channels to follow
(https://lnkd.in/gbTu7Tf)
***... 75 comments on LinkedIn