Data Science London
Free, open dissemination of data science. The data science community
About @ds_ldn
Projects
Contact
Building a community of Data Scientists.
Passionate about Data Science.
“Data Science is a wonderful concept” Jeremy Howard, Chief Data Scientist @Kaggle on Predictive Modeling #Strataconf
Posted:
March 16th, 2012 |
Author:
|
Filed under:
Data Science
,
Data Scientist
|
Tags:
data scientist
,
datata science
,
kaggle
,
predictive modeling
|
No Comments »
Leave a Reply
You must be
logged in
to post a comment.
Search for:
Recent Posts
Approximate Methods for Scalable Data Mining
PredictionIO –An Open Source Scalable Machine Learning Architecture
Storm + Trident and The Holistic Architecture: Using Hadoop for batch and Storm for real time
Reservoir computing: Adaptive online machine learning and neural networks
Bayesian Neural Networks in Business Applications
Area Under the Curve: Never too experienced to make a basic mistake
Machine Learning in Python with scikit-learn @ds_ldn meetup
“Social Media Intelligence Text, Network Mining and Predictive Analytics Combined” by Phil Winters @Knime
“Recommender Systems in R” by Tamas Jambor @Sky
“Big Data Science Challenges in Media” by by Chandan Rajah @Sky
The Platypus Billed Data Scientist and Unknown Unknowns
What? So What? Now What?: The three Whats of data analysis by Ferenc Huszár
“Real-Time Queries in Hadoop with @Cloudera Impala” Henry Robinson
“Nowcasting Business Performance” by Francois Bouet
The Little List of Free Data Science Courses #datascience #opendata
Latest Data Scientists Jobs #datascientists
“pandas: Powerful data analysis tool for Python” by Wes McKinney
“Numpy, the Python foundation for number crunching” by Didrik Pinte
Customer Behaviour Analysis with Large Scale k-means Analysis by Ted Dunning @MapR
Real-Time Machine Learning at Industrial Scale …The Battle of Accuracy vs. Latency by Michael Cutler CTO @Tumra
Modeling Learning Algorithms with Hadoop MapReduce by Vijay Narayanan @Yahoo & Milind Bhandarkar @Greenplum
Big Practical Recommendations with Alternating Least Squares
ACM RecSys 2012: Recommender Systems, Today by Neal Lathia @Cambridge_Uni
Open Problems in Recommender Systems by Neal Lathia @Cambridge_Uni
Beyond Accuracy: Goal-Driven Recommender Systems Design by Tamas Jambor @UCL
Autonomous Discovery: The New Interface? by Dinesh Vadhia CEO @Xyggy
Data Science of Recommendations: Special @ds_ldn Session at Strata Conference London @StrataConf
“Bringing back the excitement to data analysis” by MC Brown @Couchbase
“Survival Analysis of Web Users” by Dell Zhang @Birbeck University of London
ACM Recommender Systems 2012: Most discussed, tweeted papers & presentations #RecSys2012. Blog reviews. Datasets. Social Graph. Links
Recent Comments
Data Science London meetup at Strata Conference | Josetteorama
on
Big Practical Recommendations with Alternating Least Squares
Data Science London meetup at Strata Conference | Josetteorama
on
About @ds_ldn
Modeling Learning Algorithms in Hadoop MapReduce | Data Science London
on
“Machine Learning and Hadoop: Present and Future” Josh Wills Data Science Director @Cloudera
Survival analysis | Seifen
on
“Survival Analysis of Web Users” by Dell Zhang @Birbeck University of London
Yet Another RecSys 2012 Summary « alan said
on
ACM Recommender Systems 2012: Most discussed, tweeted papers & presentations #RecSys2012. Blog reviews. Datasets. Social Graph. Links
Archives
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
May 2012
March 2012
February 2012
Categories
Data Science
Data Science Courses
Data Science Jobs
Data Science Workshop
Data Scientist
Data Scientist Jobs
Data Visualization
Uncategorized
Meta
Log in
Entries
RSS
Comments
RSS
WordPress.org
Cloudtag
ACM
analytics
ANN
anticipatory computing
big data
bit.ly
clustering
data analysis
data mining
data science
data scientist
emc
facebook
hacker
hadoop
hive
ipython
kaggle
large scale analytics
machine learning
mahout
mapreduce
map reduce
mass text analytics
media
music
music data
music data science
Neural Networks
peerindex
pig
predictive analytics
python
R
real-time
real-time analytics
realtime
realtime analytics
recommendations
recommendation systems
recommender system
recommender systems
recsys
recsys2012
statistical computing
Leave a Reply
You must be logged in to post a comment.