1. MIT脑科学课程视频,虽然跟工程不太一样,但是cognitive science也是很重要
MIT 9.11: The Human Brain (Spring 2018) (mit.edu)
链接:https://nancysbraintalks.mit.edu/course/9-11-the-human-brain
2. 阿里巴巴用虚拟淘宝做RL
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning
链接:https://arxiv.org/abs/1805.10000?utm_campaign=ARCHITECHT&utm_medium=email&utm_source=ARCHITECHT_31
3. 周志华团队的multi-layer GDBT
Multi-Layered Gradient Boosting Decision Trees
链接:https://arxiv.org/pdf/1806.00007.pdf
4. object detection算法详解
UNDERSTANDING DEEP LEARNING FOR OBJECT DETECTION
链接:http://zoey4ai.com/2018/05/12/deep-learning-object-detection/
5. tSNE在TF.js里的快速实现
Realtime tSNE Visualizations with TensorFlow.js
链接:https://ai.googleblog.com/2018/06/realtime-tsne-visualizations-with.html
6. 苹果宣布Create ML项目
链接:https://developer.apple.com/documentation/create_ml
7. 自动feature engineering(这个为啥不能搞AutoML?)
Automated Feature Engineering in Python
链接:https://towardsdatascience.com/automated-feature-engineering-in-python-99baf11cc219
8. RL快速介绍,写的还行
Reinforcement Learning from scratch
链接:https://blog.insightdatascience.com/reinforcement-learning-from-scratch-819b65f074d8
9. 攻击机器学习模型
Attacks against machine learning — an overview
链接:https://elie.net/blog/ai/attacks-against-machine-learning-an-overview
10. 各种学习资料
10.1 Georgia Tech NLP课程资料
链接:https://github.com/jacobeisenstein/gt-nlp-class
10.2 RL各种算法PyTorch实现
链接:https://github.com/higgsfield/RL-Adventure-2
10.3 data science for startups小书
链接:https://towardsdatascience.com/data-science-for-startups-blog-book-bf53f86ca4d5
10.4 挺好的一本机器学习的小书
链接:http://ciml.info/
本文分享自 机器学习人工学weekly 微信公众号,前往查看
如有侵权,请联系 cloudcommunity@tencent.com 删除。
本文参与 腾讯云自媒体同步曝光计划 ,欢迎热爱写作的你一起参与!