Jul 2014
21 Mon
22 Tue
23 Wed 09:30 AM – 05:00 PM IST
24 Thu 09:45 AM – 05:00 PM IST
25 Fri 08:30 AM – 07:15 PM IST
26 Sat 08:30 AM – 07:15 PM IST
27 Sun
Jul 2014
21 Mon
22 Tue
23 Wed 09:30 AM – 05:00 PM IST
24 Thu 09:45 AM – 05:00 PM IST
25 Fri 08:30 AM – 07:15 PM IST
26 Sat 08:30 AM – 07:15 PM IST
27 Sun
In 2014, infrastructure components such as Hadoop, Berkeley Data Stack and other commercial tools have stabilized and are thriving. The challenges have moved higher up the stack from data collection and storage to data analysis and its presentation to users. The focus for this year’s conference on analytics – the infrastructure that powers analytics and how analytics is done.
Talks will cover various forms of analytics including real-time and opportunity analytics, and technologies and models used for analyzing data.
Proposals will be reviewed using 5 criteria:
Domain diversity – proposals will be selected from different domains – medical, insurance, banking, online transactions, retail. If there is more than one proposal from a domain, the one which meets the editorial criteria will be chosen.
Novelty – what has been done beyond the obvious.
Insights – what insights does the proposal share with the audience that they did not know earlier.
Practical versus theoretical – we are looking for applied knowledge. If the proposal covers material that can be looked up online, it will not be considered.
Conceptual versus tools-centric – tell us why, not how. Tell the audience what was the philosophy underlying your use of an application, not how an application was used.
Presentation skills – proposer’s presentation skills will be reviewed carefully and assistance provided to ensure that the material is communicated in the most precise and effective manner to the audience.
Tickets: http://fifthel.doattend.com
Website: https://fifthelephant.in/2014
For queries about proposals / submissions, write to info@hasgeek.com
Data Collection and Transport – for e.g, Opendatatoolkit, Scribe, Kafka, RabbitMQ, etc.
Data Storage, Caching and Management – Distributed storage (such as Gluster, HDFS) or hardware-specific (such as SSD or memory) or databases (Postgresql, MySQL, Infobright) or caching/storage (Memcache, Cassandra, Redis, etc).
Data Processing, Querying and Analysis – Oozie, Azkaban, scikit-learn, Mahout, Impala, Hive, Tez, etc.
Real-time analytics
Opportunity analytics
Big data and security
Big data and internet of things
Data Usage and BI (Business Intelligence) in different sectors.
Please note: the technology stacks mentioned above indicate latest technologies that will be of interest to the community. Talks should not be on the technologies per se, but how these have been used and implemented in various sectors, enterprises and contexts.
Hosted by
Bargava Subramanian
@barsubra
Submitted Jun 1, 2014
The aim is to provide the attendees with an overview (implementation-wise) of some of the major classification methods using R. The focus of the workshop will be on breadth rather than depth. A lot of methods will be introduced, but their mathematical properties won’t be discussed in detail.
As a caveat, most of the real-life problems cannot be solved efficiently without further detailed understanding of these algorithms. But this workshop should give a quick and dirty start to solving the problems.
Target Audience: Beginner/Intermediate
The following topics would be covered. The format would be a bit of theory and then implementation using R
Introduction to Machine learning
Classification Techniques covered:
Unsupervised learning techniques covered:
Illustrating common pitfalls
Big Data Analytics (*need AWS credit for implementation. And time permitting)
Prerequisites:
Hardware:
Any modern laptop configuration would work. It is good to have atleast 4+ GB of RAM with a dual core/quad core machine.
Software:
Dataset and required R packages
Please download data from the following location:
https://dl.dropboxusercontent.com/u/72650512/5th_el_train.csv.zip
Please install the following R packages:
(To do: open R Studio, and enter install.packages(“package_name”))
Update* (22 July):
Additional packages (please install, if possible)
1)data.table
2)sqldf
3)ROCR
4)kernlab
5)rpart
Data Analytics professional at Cisco Systems India Pvt Ltd.
Jul 2014
21 Mon
22 Tue
23 Wed 09:30 AM – 05:00 PM IST
24 Thu 09:45 AM – 05:00 PM IST
25 Fri 08:30 AM – 07:15 PM IST
26 Sat 08:30 AM – 07:15 PM IST
27 Sun
Hosted by
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