Find Jobs
Hire Freelancers

Adserver / Video Player / Social Gaming Project - repost

$25-50 USD / hour

进行中
已发布超过 10 年前

$25-50 USD / hour

The project involves integrating our video player technology into social games publishers and online applications. You will work closely with the current tech team based in Sydney, Australia. More details available if you are interested. Working knowledge of any (or all) of the following : Hadoop Ensemble Methods Storm Bayesian approaches MapReduce-like architectures redis Hive Zookeeper Decision Trees HBase Support Vector Machines Couchbase Server Network protocols Neural Networks LDAP Load Balancers Experience with very large sets of data is a plus.
项目 ID: 5140636

关于此项目

3提案
远程项目
活跃10 年前

想赚点钱吗?

在Freelancer上竞价的好处

设定您的预算和时间范围
为您的工作获得报酬
简要概述您的提案
免费注册和竞标工作
颁发给:
用户头像
Hi, I've worked 5 years with Nutch/Hadoop/Solr/Lucene and have much experience. I've built many applications with Nutch in the Hadoop system like the search engine, language processing,.... I've built the language processing system by using Nutch as the crawler for 4 billions English web pages in the Hadoop dedicated cluster, and tokenized, processed these data. I've also used Solr and Nutch indexer to index data and searching. I've also worked with HBase, Storm, Hive and other technologies, and have much experience. I sure that I can do this task perfectly. I can do work 40 hours per week and we can discuss via Skype and Gtalk. I hope to work with you soon. Thanks.
$38 USD 在40天之内
3.9 (3条评论)
3.4
3.4
3威客以平均价$35 USD/小时来参与此工作竞价
用户头像
I am working in the area of big data analytics for more than 5 years. I have experience in handling various machine learning project and natural language processing. I have worked on training and building the model using Mahout, Weka, R, Mallet, GATE, OpenNLP, StanfordNLP. I have also experience in training algorithm for large scale data analysis using Hadoop. I have implemented algorithms in map-reduce and tested the application in multi-node environment for more than 50 large instances. I also have experience in algorithms using SVM, Naive Bayes, Neural Network, Decision Trees, Clustering, LDA. I have used NoSQL for distributed environment. I have setup Amazon Ec2 web application and then used scaled web application for large scale usage for even 10,000 users using Amazon Elastic Load Balancing and Auto scaling. I want to know what is the specific work that needs to be done. I am also trying other map-reduce based architectures like Disco, H20 and R-Hadoop. 1) What is the training set that is going to be used for the project? 2) Should the algorithm implemented be in map-reduce architecture ? 3) What is the size of the dataset to be trained for the model ? 4) Is it a large scale web application which also needs to be scaled up/down according to the demand of the users ? 5) What is the training/testing accuracy prediction success rate to be hit ? If I have good understand of the application, then I can move forward to work in this project. Hours of wor
$27 USD 在30天之内
0.0 (0条评论)
0.0
0.0
用户头像
We have expertiose on the following areas: Hadoop MapReduce-like architectures Hive Zookeeper HBase Network protocols LDAP Load Balancers It will be great to know your actuall use case (sample dataset, cluster size, expected throughput, query type), based on this we can provide you better solution to achive your goal. We are waiting for your positive response. About Us: -------------- We are bunch of professionals having 8 to 13 yrs of experience in the software industries. We got a very good expertisation on all the Hadooop Stack components, specially on HBase. For past 4yrs we are fully working on hadoop eco system projects and High Availabilty Solutions. We have contributed mutliple patches in hadoop community, also very active in opensource discussions. Our special intrest area is on Bigdata Analytics, Performance Engineering and Open Source community contribution. Thank You, Prayatna Team.
$41 USD 在20天之内
0.0 (0条评论)
0.0
0.0

关于客户

INDIA的国旗
India
0.0
0
会员自11月 18, 2013起

客户认证

谢谢!我们已通过电子邮件向您发送了索取免费积分的链接。
发送电子邮件时出现问题。请再试一次。
已注册用户 发布工作总数
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
加载预览
授予地理位置权限。
您的登录会话已过期而且您已经登出,请再次登录。