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# Introduction to machine learning
What is Machine Learning?
Machine learning (ML) is a modern software development technique and a type of artificial intelligence (AI) that enables computers …
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个人主页，个人学习生涯！
学习流程：
> 第一遍， 通读全文，了解内容
>
> 第二遍，针对性阅读，并记录心得
>
> 第三遍，理论结合实践
一点一点搬运到博客上
## ref
- [Deep learning papers reading roadmap](https://github.com/floodsung/Deep-Learning…
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Guys,
I realized that there is some very low hanging fruit that could easily make our WERs state of the art, which is neural LM rescoring. An advantage of our framework-- possibly the key advantag…
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**Submitting author:** @https://github.com/josemanuel22 (José Manuel de Frutos)
**Repository:** https://github.com/josemanuel22/ISL
**Branch with paper.md** (empty if default branch):
**Version:** v0…
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*Sent by @amir9979 (amir9979@gmail.com). Created by [fire](https://fire.fundersclub.com/).*
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From: **Google Scholar Alerts**
Date: Sun, Mar 10,…
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Post a link for a "possibility" reading of your own on the topic of Network & Table Learning [for week 6], accompanied by a 300-400 word reflection that: 1) briefly summarizes the article (e.g., as we…
lkcao updated
2 years ago
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As part of our ongoing efforts to improve the performance and accuracy of our predictive models, we need to evaluate a variety of machine learning and deep learning algorithms. Here's a list of models…
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Yop,
Un autre topic important... demontrer qu'un réseau neuronal peut effectivement prédire l'evolution d'une série temporelle.
Les tutos explorés ne le font pas en fait...
Les adaptations du script «…
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参考资料：
* [paper: Transformer-based Encoder-Decoder](https://huggingface.co/blog/encoder-decoder)，一篇博客文章，详细介绍了RNN-based Encoder-Decoder与Transformer-based Encoder-Decoder的区别。
* [tutorial: harvard-code …
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In this issue you can either:
- **Add papers** that you think are interesting to read and discuss (please stick to the format).
- **vote**: should be done using :+1: on comments