“A Deep Learning Tutorial: From Perceptrons to Deep Networks”: https://www.toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks “Deep Learning From the Bottom Up”:
Trovare nuove risorse energetiche. Analizzare i minerali nel suolo. Prevedere un guasto dei sensori in raffineria. Snellire la distribuzione di petrolio per renderla più efficiente e redditizia. In questo settore il machine learning viene usato in un numero molto vasto di casi, un dato in...
A given subreddit can be question and answer site, a link sharing site or (more typically) a mix of the two. A few sub-reddits I frequent include: Machine Learning: Contains of mix of “how do I get started” and more advanced links to machine learning blog posts. Also good for ...
MachineLearning - Machine Learning (Biggest subreddit of the field) DeepLearningPapers - Deep Learning Papers ComputerVision - Extracting useful information from images and videos learnmachinelearning - Learn Machine Learning ArtificialInteligence - AI LatsestInML - Game-changing developments in machine le...
In this tutorial, we will provide an in-depth and hands-on tutorial on Automated Machine Learning & Tuning with a fast python library FLAML. We will start with an overview of the AutoML problem and the FLAML library. In the first half of the tutorial, we will then give a hands...
Machine Learning TutorialThe GitHub repository "Machine-Learning-Tutorials" by ujjwalkarn is a comprehensive collection of tutorials, resources, and educational materials for individuals interested in learning about Machine Learning (ML). ML by ZoomcampThis GitHub repository by DataTalksClub is a collec...
In the next part of this tutorial, we’ll show you how you can set up a continuous delivery pipeline to automate ML model deployment, monitoring, and retraining with CircleCI. To follow along, visit CD for machine learning: Deploy, monitor, retrain....
Machine Learning Matters 32 Responses to Self-Study Guide to Machine Learning jasonb December 22, 2013 at 7:50 pm # Join the discussion of this guide on reddit.com/r/MachineLearning. Reply Hamed Abdollahpour May 8, 2014 at 5:45 pm # Thanks. It’s been really useful for me. Repl...
《Deep Learning 101》 介绍:因为近两年来,深度学习在媒体界被炒作很厉害(就像大数据)。其实很多人都还不知道什么是深度学习。这篇文章由浅入深。告诉你深度学究竟是什么! 《UFLDL Tutorial》 介绍:这是斯坦福大学做的一免费课程(很勉强),这个可以给你在深度学习的路上给你一个学习的思路。里面提到了一些基本的算...
Chirs Burges,微软的机器学习大神,Yahoo 2010 Learning to Rank Challenge第一名得主,排序模型方面有RankNet,LambdaRank,LambdaMART,尤其以LambdaMART最为突出,代表论文为:From RankNet to LambdaRank to LambdaMART: An Overview此外,Burges还有很多有名的代表作,比如:A Tutorial on Support Vector Machines for Pattern ...