software architecture design,windows kernel/CLR debugging skills,SQL Server 、MySQL,Database architecture、Query Optimization、troubleshooting and high availability, parallel/multi-threaing programming,distributed computing,cloud computing ,Apache Storm, Spark, Flink,Machine Learning, Deep Learning ,TensorFlow an...
《Brief History of Machine Learning》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. 《Deep Learning in Neural Networks: An Overv…
《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...
Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of analytical model building and solve associated tasks. Deep learning is a machine learning concept based on artificial neural networks. For many applications, deep learning models ...
Deep learning是Machine learning的子集。深度学习与机器学习的关系 Deep learning也不是一个方法，而是一类...
* [《Growing Pains for Deep Learning》](http://cacm.acm.org/news/188737-growing-pains-for-deep-learning/fulltext) 介绍:深度学习——成长的烦恼. * [《Clustering Text Data Streams – A Tree based Approach with Ternary Function and Ternary Feature Vector 》](http://www.sciencedirect.com/scienc...
《Statistical foundations of machine learning》 介绍:《机器学习的统计基础》在线版,该手册希望在理论与实践之间找到平衡点,各主要内容都伴有实际例子及数据,书中的例子程序都是用R语言编写的。 《A Deep Learning Tutorial: From Perceptrons to Deep Networks》 ...
Learn how deep learning relates to machine learning and AI. In Azure Machine Learning, use deep learning models for fraud detection, object detection, and more.
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.
in the way machine learning models use data raises a lot of data privacy concerns. Industries like healthcare, finance, and cybersecurity heavily rely on the use of personal information. But when fed to a machine learning system, all this information must be depersonalized and strongly protected...