图 书 馆开课单位--微软
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1Using R for Scalable Data Science: Single Machines to Hadoop Spa0rk Clusters[将R用于可扩展数据科学：单机到Hadoop Spark集群]
Hang Zhang(微软) In this tutorial, we will demonstrate how to create scalable, end-to-end data analysis processes in R on single machines as well as in-database in SQL...
热度：15
Hang Zhang(微软) In this tutorial, we will demonstrate how to create scalable, end-to-end data analysis processes in R on single machines as well as in-database in SQL...
热度：15
2Deep Embedding Forest: Forestbased Serving with Deep Embedding Features[深度嵌入森林：具有深度嵌入特征的基于森林的服务]
Ying Shan(微软) Deep Neural Networks (DNN) have demonstrated superior ability to extract high level embedding vectors from low level features. Despite the success, th...
热度：22
Ying Shan(微软) Deep Neural Networks (DNN) have demonstrated superior ability to extract high level embedding vectors from low level features. Despite the success, th...
热度：22
3A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled Experiments[肮脏的一打：在线控制实验中十二个常见的度量解释陷阱]
Somit Gupta(微软) Online controlled experiments (e.g., A/B tests) are now regularly used to guide product development and accelerate innovation in software. Product ide...
热度：24
Somit Gupta(微软) Online controlled experiments (e.g., A/B tests) are now regularly used to guide product development and accelerate innovation in software. Product ide...
热度：24
4CNTK - Microsoft’s open-source deep-learning toolkit[CNTK -微软的开源深度学习工具包]
Frank Seide;Amit Agarwal(微软) Train neural networks like Microsoft product groups! This talk will introduce the Computational Network Toolkit, or CNTK, Microsoft’s scalable o...
热度：29
Frank Seide;Amit Agarwal(微软) Train neural networks like Microsoft product groups! This talk will introduce the Computational Network Toolkit, or CNTK, Microsoft’s scalable o...
热度：29
5Scalable R on Spark[Spark上的可扩展R]
John-Mark Agosta;Debraj GuhaThakurta(微软) R is one of the most popular languages in the data science, statistical and machine learning (ML) community. However, when it comes to scalable data a...
热度：21
John-Mark Agosta;Debraj GuhaThakurta(微软) R is one of the most popular languages in the data science, statistical and machine learning (ML) community. However, when it comes to scalable data a...
热度：21
67From Code to Data: AI at Scale for Developer Productivity[从代码到数据:面向开发者生产力的大规模AI]
Neel Sundaresan(微软) The last decade has seen three great phenomena in computing – the rebirth of AI algorithms and AI hardware; the evolution of cloud computing and...
热度：24
Neel Sundaresan(微软) The last decade has seen three great phenomena in computing – the rebirth of AI algorithms and AI hardware; the evolution of cloud computing and...
热度：24
8Applying the Delta method in metric analytics: A practical guide with novel ideas[在度量分析中应用德尔塔方法：一个具有新颖想法的实用指南]
Jiannan Lu(微软) During the last decade, the information technology industry has adopted a data-driven culture, relying on online metrics to measure and monitor busine...
热度：22
Jiannan Lu(微软) During the last decade, the information technology industry has adopted a data-driven culture, relying on online metrics to measure and monitor busine...
热度：22
9The role of hierarchies in exploratory data mining[层次结构在探索性数据挖掘中的作用]
Raghu Ramakrishnan(微软) In a broad range of data mining tasks, the fundamental challenge is to efficiently explore a very large space of alternatives. The difficulty is two-f...
热度：19
Raghu Ramakrishnan(微软) In a broad range of data mining tasks, the fundamental challenge is to efficiently explore a very large space of alternatives. The difficulty is two-f...
热度：19
10Planet-Scale Land Cover Classification With FPGAs[基于FPGA的全球土地覆盖分类]
Joseph Sirosh(微软) AI for Earth puts Microsoft’s cloud and AI tools in the hands of those working to solve global environmental challenges. Land cover mapping is p...
热度：34
Joseph Sirosh(微软) AI for Earth puts Microsoft’s cloud and AI tools in the hands of those working to solve global environmental challenges. Land cover mapping is p...
热度：34