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Data Science London

Data Science London

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Personal Information
Organization / Workplace
London United Kingdom
Industry
Technology / Software / Internet
Website
datasciencelondon.org/
About
Data Science London is a non-profit organization dedicated to the free, open, dissemination of data science. Our members are 1,394 data scientists and data geeks. Data Science London is a community of data scientists that meets regularly to discuss the tools, methods and technologies used by many startups to analyse large scale data (big data), extract knowledge from it, and exploit business opportunities from data products. Our members research and discuss data science topics like: big data analytics, distributed data analytics, Pig, data mining, machine learning, Mahout, scalable data analytics, predictive analytics, Cascalog, heuristics, statistical computing, R language, Clojure
Contact Details
Tags
data science data scientist recommendation systems machine learning london data analysis hadoop mahout analytics python recommender systems cloudera realtime recsys data science training music data scientists data mining financial services data quality big data business intelligence algorithm realtime analytics real-time analytics hbase hive sql impala economics forecasting nowcasting time series data computation numpy pandas matrix factorisation myrrix statistical computing nosql couchbase survival analysis wikipedia statitistical computing recorder systems recys predictive computing anticipatory computing serendipity autonomous computing tumra music data mapr apache hadoop facebook cause customer effect behaviour utilities @ds-ldn
See more
Presentations (25)
See all
"Oyster Card: Data Mining 90 million Daily Journeys" Neal Lathia @ds_ldn
11 years ago • 1261 Views
"Telling Stories about People and Their Influence" Ferenc Huszár @ds_ldn
11 years ago • 1111 Views
"Human Cloning: The Data Scientist Bottleneck Resolved" Dr. Alex Farquhar @ds_ldn
11 years ago • 2757 Views
A Data Scientist in the Music Industry
11 years ago • 3228 Views
How to develop a data scientist – What business has requested v02
11 years ago • 843 Views
Bootstrapping Data Science
11 years ago • 644 Views
Understanding Cause & Effect in Customer Behaviour
11 years ago • 709 Views
Going Real-Time with Mahout, Predicting gender of Facebook Users
10 years ago • 1912 Views
Simple Matrix Factorization for Recommendation in Mahout
10 years ago • 15302 Views
Super-Fast Clustering Report in MapR
10 years ago • 925 Views
Scientific Article Recommendations with Mahout
10 years ago • 1121 Views
Research at last.fm
10 years ago • 559 Views
Data Science for Live Music
10 years ago • 1463 Views
Machine Learning and Hadoop: Present and Future
10 years ago • 898 Views
Autonomous Discovery: The New Interface?
10 years ago • 809 Views
Beyond Accuracy: Goal-Driven Recommender Systems Design
10 years ago • 882 Views
ACM RecSys 2012: Recommender Systems, Today
10 years ago • 903 Views
Survival Analysis of Web Users
10 years ago • 4700 Views
Bringing back the excitement to data analysis
10 years ago • 738 Views
Big Practical Recommendations with Alternating Least Squares
10 years ago • 4303 Views
Numpy, the Python foundation for number crunching
10 years ago • 1732 Views
Nowcasting Business Performance
10 years ago • 956 Views
Real-Time Queries in Hadoop w/ Cloudera Impala
10 years ago • 4721 Views
Big Data [sorry] & Data Science: What Does a Data Scientist Do?
10 years ago • 147406 Views
Standardizing +113 million Merchant Names in Financial Services with Greenplum Hadoop
10 years ago • 6117 Views
Documents (4)
See all
Investigative Analytics- What's in a Data Scientists Toolbox
11 years ago • 2009 Views
Practical Magic with Incanter
11 years ago • 3032 Views
Music and Data: Adding Up the UK Music Industry
10 years ago • 1556 Views
Python pandas workshop iPython notebook (163 pages)
10 years ago • 1839 Views
  • Activity
  • About

Presentations (25)
See all
"Oyster Card: Data Mining 90 million Daily Journeys" Neal Lathia @ds_ldn
11 years ago • 1261 Views
"Telling Stories about People and Their Influence" Ferenc Huszár @ds_ldn
11 years ago • 1111 Views
"Human Cloning: The Data Scientist Bottleneck Resolved" Dr. Alex Farquhar @ds_ldn
11 years ago • 2757 Views
A Data Scientist in the Music Industry
11 years ago • 3228 Views
How to develop a data scientist – What business has requested v02
11 years ago • 843 Views
Bootstrapping Data Science
11 years ago • 644 Views
Understanding Cause & Effect in Customer Behaviour
11 years ago • 709 Views
Going Real-Time with Mahout, Predicting gender of Facebook Users
10 years ago • 1912 Views
Simple Matrix Factorization for Recommendation in Mahout
10 years ago • 15302 Views
Super-Fast Clustering Report in MapR
10 years ago • 925 Views
Scientific Article Recommendations with Mahout
10 years ago • 1121 Views
Research at last.fm
10 years ago • 559 Views
Data Science for Live Music
10 years ago • 1463 Views
Machine Learning and Hadoop: Present and Future
10 years ago • 898 Views
Autonomous Discovery: The New Interface?
10 years ago • 809 Views
Beyond Accuracy: Goal-Driven Recommender Systems Design
10 years ago • 882 Views
ACM RecSys 2012: Recommender Systems, Today
10 years ago • 903 Views
Survival Analysis of Web Users
10 years ago • 4700 Views
Bringing back the excitement to data analysis
10 years ago • 738 Views
Big Practical Recommendations with Alternating Least Squares
10 years ago • 4303 Views
Numpy, the Python foundation for number crunching
10 years ago • 1732 Views
Nowcasting Business Performance
10 years ago • 956 Views
Real-Time Queries in Hadoop w/ Cloudera Impala
10 years ago • 4721 Views
Big Data [sorry] & Data Science: What Does a Data Scientist Do?
10 years ago • 147406 Views
Standardizing +113 million Merchant Names in Financial Services with Greenplum Hadoop
10 years ago • 6117 Views
Documents (4)
See all
Investigative Analytics- What's in a Data Scientists Toolbox
11 years ago • 2009 Views
Practical Magic with Incanter
11 years ago • 3032 Views
Music and Data: Adding Up the UK Music Industry
10 years ago • 1556 Views
Python pandas workshop iPython notebook (163 pages)
10 years ago • 1839 Views
Personal Information
Organization / Workplace
London United Kingdom
Industry
Technology / Software / Internet
Website
datasciencelondon.org/
About
Data Science London is a non-profit organization dedicated to the free, open, dissemination of data science. Our members are 1,394 data scientists and data geeks. Data Science London is a community of data scientists that meets regularly to discuss the tools, methods and technologies used by many startups to analyse large scale data (big data), extract knowledge from it, and exploit business opportunities from data products. Our members research and discuss data science topics like: big data analytics, distributed data analytics, Pig, data mining, machine learning, Mahout, scalable data analytics, predictive analytics, Cascalog, heuristics, statistical computing, R language, Clojure
Tags
data science data scientist recommendation systems machine learning london data analysis hadoop mahout analytics python recommender systems cloudera realtime recsys data science training music data scientists data mining financial services data quality big data business intelligence algorithm realtime analytics real-time analytics hbase hive sql impala economics forecasting nowcasting time series data computation numpy pandas matrix factorisation myrrix statistical computing nosql couchbase survival analysis wikipedia statitistical computing recorder systems recys predictive computing anticipatory computing serendipity autonomous computing tumra music data mapr apache hadoop facebook cause customer effect behaviour utilities @ds-ldn
See more

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