Machine Learning is Fun! 中文版:第一部,第二部,第三部,*第四部, *第五部](https://zhuanlan.zhihu.com/p/24590838),第六部 Machine Learning for Humans Part1: 世界上最简单的机器学习入门 机器学习的理念是,有一些通用算法可以告诉你有关一组数据的有趣信息,而无需编写任何特定于问题的自定义代码。您...
Machine Learning is Fun! Have you heard people talking about machine learning but only have a fuzzy idea of what that means? Are you tired of nodding your way through conversations with co-workers? Let’s change that! This guide is for anyone who is curious about machine learning but has ...
https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471 有8个部分的知识组成,从基础的机器学习到深度学习都有讲解。更厉害的是,在著名的技能学习网站Linda上有配套学习视频。实在是不可多得的好学习资料! 在知乎的翻译地址如下: https://zhuanlan.zhihu.com/theoffline...
《Machine Learning is Fun! Part 4: Modern Face Recognition with Deep Learning》by Adam Geitgey http://t.cn/Rt46Bfk
《Machine Learning is Fun!》 介绍:Convex Neural Networks 解决维数灾难 《CNN的反向求导及练习》 介绍:介绍CNN参数在使用bp算法时该怎么训练,毕竟CNN中有卷积层和下采样层,虽然和MLP的bp算法本质上相同,但形式上还是有些区别的,很显然在完成CNN反向传播前了解bp算法是必须的。此外作者也做了一个资源集:机器学习...
《Machine Learning is Fun!》 介绍:如果你还不知道什么是机器学习,或则是刚刚学习感觉到很枯燥乏味。那么推荐一读。这篇文章已经被翻译成中文,如果有兴趣可以移步http://blog.jobbole.com/67616/ 《R语言参考卡片》 介绍:R语言是机器学习的主要语言,有很多的朋友想学习R语言,但是总是忘记一些函数与关键字的...
Roadmap to becoming a Machine Learning developer in 2020 Translations 简体中文 Introduction Machine learning is Fun! Data Science Simplified Data Analysis Concepts: The Foundations of Data Science Computational and Inferential Thinking -The Foundations of Data Science ...
A complete daily plan for studying to become a machine learning engineer. - GitHub - foolsh/machine-learning-for-software-engineers: A complete daily plan for studying to become a machine learning engineer.
Another cool project is building a chatbot. You can use platforms like Scratch to create a chatbot that can have a simple conversation with you. These projects are not only fun but also help you understand how machine learning works in a hands-on way. The Future of Machine Learning The ...
Riham Mansour: The goal of machine teaching and traditional machine learning is to build an accurate model.Same goal,right?So a user who’s using either,would have the goal in mind to build a model, a good model, right? But then, the‘what’and‘how’is what’s d...