Data Science Modeling Tutorials, Guides, Tips, and Examples

The Art of Data Science – Josh Wills ODSC Boston 2015

Conferences Modeling Research ODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

The Art of Data Science from odsc Keynote Presenter Bio Josh Wills is Cloudera’s Senior Director of Data Science, working with customers and engineers to develop Hadoop-based solutions across a wide-range of industries. He is the founder and VP of the Apache Crunch project for creating... Read more

Jumping to Conclusions – Richard Robehr Bijjani ODSC Boston 2015

Conferences Modeling Research ODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Jumping to Conclusions from odsc Data Science is the study of the extraction of knowledge from data. What if we extract partial or inaccurate knowledge? This illusion of knowledge would lead us to make wrong decisions, with sometimes disastrous consequences such as in the case of... Read more

Machine Learning Based Personalization Using Uplift Analytics: Examples and Applications – Victor Lo ODSC Boston 2015

Conferences Modeling Predictive Analytics ODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Uplift Modeling Workshop from odsc Traditional randomized experiments allow us to determine the overall causal impact of a treatment program (e.g. marketing, medical, social, education, political). Uplift modeling (also known as true lift, net lift, incremental lift) takes a further step to identify individuals who are... Read more

Data Science 101 – Todd Cioffi ODSC Boston 2015

Conferences Modeling Research ODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Data Science 101 from odsc Curious about Data Science? Self-taught on some aspects, but missing the big picture? Well, you’ve got to start somewhere and this session is the place to do it. This session will cover, at a layman’s level, some of the basic concepts... Read more

Can We Automate Predictive Analytics – Thomas Dinsmore ODSC Boston 2015

Conferences Modeling Predictive Analytics ODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Can We Automate Predictive Analytics from odsc Recent news about the pending shortage of data scientists prompts speculation about automation: will machines replace human analysts? We propose a model of automation, and briefly review progress in automated machine learning over the past twenty years. Summarizing the... Read more

Learning to Love Bayesian Statistics – Allen Downey ODSC Boston 2015

Conferences Modeling Statistics ODSC 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

Predictive Modeling Workshop – Max Kuhn ODSC Boston 2015

Conferences Modeling Predictive Analytics R Tools & Languages ODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Predictive Modeling Workshop from odsc The workshop is an overview of creating predictive models using R. An example data set will be used to demonstrate a typical workflow: data splitting, pre-processing, model tuning and evaluation. Several R packages will be shown along with the caret package... Read more

Probabilistic Programming in Data Science – Thomas Wiecki ODSC Boston 2015

Conferences Modeling Statistics Tools Tools & Languages ODSC 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

Recurrent Neural Networks for Text Analysis – Alec Radford ODSC Boston 2015

Conferences Deep Learning Modeling NLP/Text Analytics ODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Recurrent Neural Networks for Text Analysis from odsc Recurrent Neural Networks hold great promise as general sequence learning algorithms. As such, they are a very promising tool for text analysis. However, outside of very specific use cases such as handwriting recognition and recently, machine translation, they... Read more

Machine Learning for Suits – Rahul Dave ODSC Boston 2015

Conferences Modeling Predictive Analytics ODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Machine Learning for Suits from odsc You will learn the basic concepts of machine learning – such as Modeling, Model Selection, Loss or Profit, overfitting, and validation – in a non-mathematical way, so that you can ask for data analysis and interpret the results of a... Read more