How Smart Can Machines Get
Author(s): Rakshit Dwivedi Future, Opinion, Technology How Smart Can Machines Get The answer will surprise you Photo by Lenin Estrada on Unsplash AI is exponentially growing, making it smarter and smarter each day. The prediction algorithm deployed by Facebook to track you and serve you …
Fully Explained Linear Regression with Python
Author(s): Amit Chauhan How the regression problem is solved with a real-life example. Continue reading on Towards AI » Published via Towards AI …
How to add Julia to Jupyter Notebook
Author(s): Chetan Ambi Take your first steps towards Julia for Machine Learning Continue reading on Towards AI » Published via Towards AI …
5 Signs That You Are a Good Researcher
Author(s): Sruthi Korlakunta Do you have the guts to speak the insignificant truth? Continue reading on Towards AI » Published via Towards AI …
Web Scraping With Python
Author(s): Luay Matalka How to use beautiful soup and the requests libraries to web scrape in python Continue reading on Towards AI » Published via Towards AI …
Extract the text from long videos with Python
Last Updated on December 13, 2020 by Editorial Team Author(s): Eugenia Anello A simple guide to build a speech recognizer using Google’s API Figure 1: Photo on Pixabay Speech recognition is an interesting task that allows you to improve the quality of your life. …
Recovering from Bleak Friday
Author(s): Fabrizio Fantini How to use data to compete with Amazon post-Covid Continue reading on Towards AI » Published via Towards AI …
The Best AI Trend Is Yet To Come
Author(s): DGuyAI A complete overview of all AI trends (we know of) coming at you Continue reading on Towards AI » Published via Towards AI …
CVPR2020 Paper Summary: Data Uncertainty in Face Recognition
Author(s): Makoto TAKAMATSU An facial recognition algorithm that effectively mitigates the negative impact of dirty samples during model training Continue reading on Towards AI » Published via Towards AI …
Making Hyper-personalized Books for Children: Faceswap on Illustrations
Author(s): Francesco Fumagalli Computer Vision Stories have always been part of human nature: we’ve been telling stories to children for as long as we’ve been around, to teach them about life, to warn them about dangers, to build up their character without …
AutoSIRDS — Using single image depth estimation to create Single Image Random Dot Stereograms
Author(s): Robin T. White, PhD A full playground using Google Colab and TF Hub Continue reading on Towards AI » Published via Towards AI …
Exploring The Last Trends of Random Forest
Author(s): Barak Or The random forest model is considered one of the promising ML ensemble models that recently became highly popular. In this post, we review the last trends of the random forest. Image by Author Ensemble Models-Intro An ensemble considers multiple learning models …
Astonishing GAN Applications
Author(s): Tim Cvetko The future of generative models Continue reading on Towards AI » Published via Towards AI …
Machine Learning with Low Code
Author(s): Ronny Fahrudin Practising house price prediction with PyCaret Continue reading on Towards AI » Published via Towards AI …
Extracting Features from Text Data
Author(s): Bala Priya C Natural Language Processing Part 3 of the 6 part technical series on NLP Photo by Caleb Woods on Unsplash Hey everyone! 👋 This is part 3 of the 6 part NLP series; Part 1 of the NLP series introduced basic concepts …
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