《Deep Learning and Shallow Learning》 介绍:对比 Deep Learning 和 Shallow Learning 的好文,来着浙大毕业、MIT 读博的 Chiyuan Zhang 的博客。 《Recommending music on Spotify with deep learning》 介绍:利用卷积神经网络做音乐推荐。 《Neural Networks and Deep Learning》 介绍:神经网络的免费在线书,已经写...
介绍:这篇文章主要是以Learning to Rank为例说明企业界机器学习的具体应用,RankNet对NDCG之类不敏感,加入NDCG因素后变成了LambdaRank,同样的思想从神经网络改为应用到Boosted Tree模型就成就了LambdaMART。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...
Deep Learning Algorithm is interpreted as a layered structure that tries to replicate the structure of the human brain. These capabilities enable Machine Learning and Deep Learning Algorithms usage in applications to identify and respond to cybercriminals manifold cyberattacks. This is achieved by ...
The first is a grouping of algorithms by the learning style.(通过算法的学习方式) The second is a grouping of algorithms by similarity in form or function (like grouping similar animals together).(通过算法的功能) 下面就会从这2个角度来阐述一下机器学习的算法。 Algorithms Grouped by Learning Style...
* [《Optimal and Adaptive Algorithms for Online Boosting》](http://jmlr.org/proceedings/papers/v37/beygelzimer15.pdf) 介绍:来自雅虎的机器学习小组关于在线Boosting的论文 . * [《Top 20 Python Machine Learning Open Source Projects》](http://www.kdnuggets.com/2015/06/top-20-python-machine-learni...
介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机、神经网络、决策树、SVM、Adaboost到随机森林、Deep Learning.
differences also focusing on future trends. Many of AI applications utilize machine learning algorithms primarily to drive self-service, increase agent productivity and workflows more reliable. Machine learning and deep learning algorithms include an exciting prospect for many businesses and industry leaders...
4.3.REINFORCED LEARNING(RL) 4.3.1.introduction of RL 4.3.2.Markov decision process(MDP) 4.3.3.value func and Bellman Equation 4.3.4.Q-learning algorithm 4.3.5.SARSA algorithm 4.3.6.other algorithms 4.3.7.deep Q network::DQN 4.3.8.Policy Gradient ...
《Introduction to Deep Learning Algorithms》 介绍:Deep Learning算法介绍,里面介绍了06年3篇让deep learning崛起的论文 《Learning Deep Architectures for AI》 介绍:一本学习人工智能的书籍,作者是Yoshua Bengio,相关国内报道 《Geoffrey E. Hinton个人主页》 ...
《Essential Machine Learning Algorithms in a nutshell》 介绍:机器学习基本算法简要入门. 《A Huge List of Machine Learning And Statistics Repositories》 介绍:Github机器学习/数学/统计/可视化/深度学习相关项目大列表. 《Information Processing and Learning》 ...