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Statistics

Top 5 Tools and Languages for Data Science

BlogData VisualizationData WranglingModelingPythonRStatisticsToolsTools & LanguagesData Science|Python|R|SQLposted by Jason O'Rawe, ODSC Data Science Team April 18, 2016

Data science is an interdisciplinary endeavor, and it serves the purpose of extracting insight from varying sources of information. Various communities come together at Data Science Conferences to share their knowledge and promote innovation. It is not surprising, then, that the tools showcased by data scientists... Read more
Amazon Machine Learning: Nice and Easy or Overly Simple?

Amazon Machine Learning: Nice and Easy or Overly Simple?

BlogModelingStatisticsTools & LanguagesMachine Learning|Scikit-learnposted by Alex Perrier February 3, 2016

Can the new Amazon Machine Learning help companies reap the benefits of predictive analytics? Machine Learning as a Service (MLaaS) promises to put data science within the reach of companies. In that context, Amazon Machine Learning is a predictive analytics service with binary/multiclass classification and linear regression... Read more
Riding on Large Data with Scikit-learn

Riding on Large Data with Scikit-learn

Data WranglingModelingPlatformsPythonStatisticsToolsTools & LanguagesData Mining|Machine Learning|Python|Scikit-learnposted by Alex Perrier October 28, 2015

What’s a Large Data Set? A data set is said to be large when it exceeds 20% of the available RAM for a single machine. Which for your standard MacBook Pro with 8Gb of RAM, corresponds to a meager 2Gb dataset — size that is becoming... Read more
Learning to Love Bayesian Statistics – Allen Downey ODSC Boston 2015

Learning to Love Bayesian Statistics – Allen Downey ODSC Boston 2015

ConferencesModelingStatisticsODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

http://tinyurl.com/lovebayes Bayesian statistical methods provide powerful tools for answering questions and making decisions. For example, the result of Bayesian analysis is a set of values and probabilties that can be fed directly into a cost-benefit analysis, which is not possible with conventional statistics. But there are... Read more
Probabilistic Programming in Data Science – Thomas Wiecki ODSC Boston 2015

Probabilistic Programming in Data Science – Thomas Wiecki ODSC Boston 2015

ConferencesModelingStatisticsToolsTools & LanguagesODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

http://bit.ly/ThomasWieckiPresentation There exist a large number of metrics to evaluate the performance-risk trade-off of a portfolio. Although those metrics have proven to be useful tools in practice, most of them require a large amount of data and implicitly assume returns to be normally distributed. Bayesian modeling... Read more
An introduction to Bayesian Statistics using Python – Allen Downey ODSC Boston 2015

An introduction to Bayesian Statistics using Python – Allen Downey ODSC Boston 2015

ConferencesModelingStatisticsODSC East 2015|Speaker Talkposted by Open Data Science January 30, 2015

An introduction to Bayesian Statistics using Python from freshdatabos Read more
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