介绍: Jürgen Schmidhuber在Reddit上的AMA(Ask Me Anything)主题,有不少RNN和AI、ML的干货内容,关于开源&思想&方法&建议……耐心阅读,相信你也会受益匪浅. 《学术种子网站:AcademicTorrents》 介绍: 成G上T的学术数据,HN近期热议话题,主题涉及机器学习、NLP、SNA等。下载最简单的方法,通过BT软件,RSS订阅各集合即可...
《Deep Learning – important resources for learning and understanding》 介绍:Important resources for learning and understanding . Is awesome 《Machine Learning Theory: An Introductory Primer》 介绍:这又是一篇机器学习初学者的入门文章。值得一读 《Neural Networks and Deep Learning》 介绍:在线Neural Networks...
Reddit Reddit is a community of communities called sub-reddits. 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...
https://www.reddit.com/r/AMD_Stock/comments/1cf765y/ai_is_really_two_markets_training_and_inference/ Part D: LPBI Group: Expert Content for ML Models in Healthcare, Pharmaceutical, Medical and Life Sciences LPBI Group’s Journal http://pharmaceuticalintelligence.com had a fully developed on...
Hence, the term “machine learning." Source: Reddit Next, let’s address this other word we hear (and say) a lot, smarter: What’s most incredible about machine learning algorithms is that they never stop learning. Constantly evaluating patterns in the data they’ve been fed and re-assessi...
While it is good tostart with standard datasetslike Iris or MNIST, keep advancing to more complex datasets from platforms like Kaggle, UCI Machine Learning Repository, or publicly available APIs (e.g., Twitter, Reddit) to show your dedication. ...
subreddit - ML question (https://www.reddit.com/r/MLQuestions/) subreddit - Learning machine learning (https://www.reddit.com/r/learnmachinelearning/) Ten Advanced SQL Concepts You Should Know for Data Science Interviews (https://towardsdatascience.com/ten-advanced-sql-concepts-you-should-kno...
Reddit Machine Learning Community CrowdAI: A Kaggle alternative, popular among students Quora: Quora Q&A platform Github.com: Github contains many valuable resources such as the code for many algorithms, all in one centralized platform! Apache Projects: A few hundred cool software projects are related...
All you need to know about Machine Learning in a hundred pages. Supervised and unsupervised learning, support vector machines, neural networks, ensemble methods, gradient descent, cluster analysis and dimensionality reduction, autoencoders and transfer l
Machine Learning 5 Free Resources to Understand Neural Networks- Dec 4, 2024. Here are five free resources in diverse formats and difficulty levels to acquaint with deep learning models at no cost. Machine Learning Integrating Machine Learning into Existing Software Systems- Dec 3, 2024. ...