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"If I could give this six stars, I would." 5 STARS - Double,T • Rebuilt from the ground up for iOS 8 • Download and save content to your device to access anywhere. • Universal App - one subscription gives you access across all your iOS devices! • View more than 5000 free training sample lessons for free • Subscribe for one low monthly fee to access more than 350 training courses - over 3000 hours of learning. • When you subscribe you get instant access to new courses as they are added Subscription Details: Monthly Subscription: ...

The Chariot TechCasts series provides news, interviews, analysis, and conference sessions from Chariot Solutions, a leader in Java and open source consulting. Listen as we discuss the latest tech news on our "DevNews" episodes. Listen to interviews with industry leaders from SpringSource, Adobe, MuleSoft, IBM, and many other companies and open source projects. We also have sessions and field reports from our shows and seminars, including the wildly popular Emerging Technologies for the Enterprise conference. Finally, we also ...

在线学习软件视频教程 分享, 交流学习经验 优质, 专业的视频内容 讲师们, 精心制作的课程 你可以利用任何时间来学习, 哪怕只有10分钟 升级会员，无限制访问所有课程（不断更新中...） 精心制作的视频教程, 包括 1、统计软件：SAS，SPSS，Stata，R语言，Eviews，数据挖掘，数据分析，数据架构，商业智能，Lingo，Lisrel，AMOS，Matlab，Splus, DPS，Clementine 2、数据库软件：SQLserver，Mysql，Oracle，DB2，MongoDB，Nosql，Datawarehouse 3、科学软件：Latex，Endnote，Minitab，Mathematica，Mplus，Gauss，Winbugs，Microfit，DEA，Winrats，Maple，Risk，Crystal bal...

レポートを簡単に作成 - ReportPlus は、レポートをモバイル、iPad、iPhone で簡単に作成できます。 Excel、SharePoint、SQL サーバー、MySQL、Analysis Services OLAP キューブなど、あらゆるデータ ソースを活用することによりビジネス インテリジェンスを最大限に高めることが可能です。 ReportPlus はパーソナル向けとエンタープライズ向けがあります。 主要機能: • セルフサービス: データ ソースやビルド ダッシュボードへ iPad から直接接続できます。 • 使用が簡単: ダッシュボードを簡単に作成できます。プログラミングの知識は必要ありません。 • 視覚化: グリ...

Hitales Practice致力于帮助医生整合医疗数据，更有效地总结经验，提升临床和研究效率，为病人提供更好的治疗。 核心功能： 病历快速采集云识别 自动捕获拍摄图片，快速采集病历、影像、检查、化验单。采集图片自动上传至云端，Hitales利用OCR技术10s内即时呈现识别结果，配合医学词向量纠错算法使其正确率高达95%。数据归档后配合Hitales后台AMD系统30分钟内返回100%准确结果。 病历可视化展现 利用hadoop技术对海量数据进行结构化提取分析，用户可以进行全文搜索以及多维度筛选快速定位想要的数据。另外Hitales还利用H5技术通过多样的可视化图表展现结构化数据，帮助医...

用友分析云基于最新的大数据、云计算等技术，为企业提供灵活、实时、高效的数据分析服务。在瞬息万变的商业社会，帮助客户透过海量数据快速全面系统的了解业务决策的正确性，充分利用数据价值驱动企业的发展。产品四大价值：
1、端到端分析解决方案
用友分析云是新一代的敏捷数据分析解决方案，支持公有云、私有云和混合部署多种模式。能够与业务系统结合，让用户能够进一步利用数据价值提升效益和效率。在一个平台上，用户能够获得分析所需的所有功能，包含从数据上传、数据清洗、数据分析、数据挖掘等，满足多样化的数据使用场景。
2、面向业务人员的分析工具
用友分析云是一...

ML Conference – The Conference for Machine Learning Innovation Are you looking to enhance your business with Machine Learning? Then ML Conference is for you. It gives you a comprehensive insight into the principles of Machine Learning and introduces to the world of ML tools, programming languages and technologies. Experienced ML speakers from a solid industry background show you how to create real value from Artificial Intelligence using the latest technologies such as Tensorflow, Deep Learning toolkits, Chatbots and many more. MA...

This tutorial is meant for all those professionals who would like to learn the process of transferring log and streaming data from various webservers to HDFS or HBase using Apache Flume. Flume is a standard, simple, robust, flexible, and extensible tool for data ingestion from various data producers (webservers) into Hadoop. In this tutorial, we will be using simple and illustrative examples to explain the basics of Apache Flume and how to use it in practice. Audience

BigData-Insider ist das für IT-Entscheider und Fachabteilungsleiter konzipierte Informationsportal rund um das Management und die Analyse von großen Datenbeständen (Big Data). Mit den News und Fachartikeln von BigData-Insider bleiben Sie bei allen Themen rund um Hadoop, Big Data, Predictive Analytics und Business Intelligence immer auf dem Laufenden

Use this App to learn about Machine Learning on GCP and prepare for the GCP Professional Machine Learning Engineer. Earning GCP Professional Machine Learning Engineer validates expertise in building, training, tuning, and deploying machine learning (ML) models on GCP. The App provides hundreds of quizzes and practice exams about: - Machine Learning Operation on GCP - Framing ML problems, - Architecting ML solutions, - Designing data preparation and processing systems, - Developing ML models, - Modelling - Data Engineering -...