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Practical Data Science with R, deal of the day Aug 1 2013
Deal of the Day August 1: Half off my book Practical Data Science with R. Use code dotd0801au at www.manning.com/zumel/ Related posts: Data Science, Machine Learning, and Statistics: what is in a name?...
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Speaking at BARUG Wednesday, August 21, 2013
I’ll be talking at the “Official” BARUG meeting Wednesday, August 21, 2013. The RSVPs look full (sorry) but I wanted to post a thanks to the organizers for considering me. If things go well I’ll see if...
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Practical Data Science with R October 2013 update
A quick status update on our upcoming book “Practical Data Science with R” by Nina Zumel and John Mount. We are really happy with how the book is coming out. We were able to cover most everything we...
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Practical Data Science with R: Manning Deal of the Day November 19th 2013
Please share: Manning Deal of the Day November 19: Half off Practical Data Science with R. Use code dotd1119au at www.manning.com/zumel/. Related posts: Data Science, Machine Learning, and Statistics:...
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On writing a technical book
I have been doing a lot of writing lately (the book, clients, blog, status updates, and the occasional tweet). This has made me acutely aware of how different many of these writing tasks tend to be. My...
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Big News! Practical Data Science with R is content complete!
The last appendix has gone to the editors; the book is now content complete. What a relief! We are hoping to release the book late in the first quarter of next year. In the meantime, you can still get...
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Generalized linear models for predicting rates
I often need to build a predictive model that estimates rates. The example of our age is: ad click through rates (how often a viewer clicks on an ad estimated as a function of the features of the ad...
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Some statistics about the book
The release date for Zumel, Mount “Practical Data Science with R” is getting close. I thought I would share a few statistics about what goes into this kind of book. “Practical Data Science with R”...
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Can a classifier that never says “yes” be useful?
Many data science projects and presentations are needlessly derailed by not having set shared business relevant quantitative expectations early on (for some advice see Setting expectations in data...
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Bandit Formulations for A/B Tests: Some Intuition
Controlled experiments embody the best scientific design for establishing a causal relationship between changes and their influence on user-observable behavior. – Kohavi, Henne, Sommerfeld, “Practical...
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A bit of the agenda of Practical Data Science with R
The goal of Zumel/Mount: Practical Data Science with R is to teach, through guided practice, the skills of a data scientist. We define a data scientist as the person who organizes client input, data,...
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Great book discount from Manning (and more about one of our authors)
Found this great offer from mkt@manning.com in our email today! Very excited to see Nina Zumel get some recognition and thought we would share it (and the generous discount) here. Excerpt of May 8th...
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R has some sharp corners
R is definitely our first choice go-to analysis system. In our opinion you really shouldn’t use something else until you have an articulated reason (be it a need for larger data scale, different...
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Save 45% on Practical Data Science with R (expires May 21, 2013)
Please share this generous deal from Manning publications: save 45% on Practical Data Science with R through May 21, 2014. Please tweet, forward and share! Related posts: A bit of the agenda of...
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Save 50% on Practical Data Science with R (and other titles) at Manning...
Manning Publications Inc. is launching an exciting new MEAP: Practical Probabilistic Programming (which we have already subscribed to) by offering a 50% discount on Practical Probabilistic Programming...
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Trimming the Fat from glm() Models in R
One of the attractive aspects of logistic regression models (and linear models in general) is their compactness: the size of the model grows in the number of coefficients, not in the size of the...
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How does Practical Data Science with R stand out?
There are a lot of good books on statistics, machine learning, analytics, and R. So it is valid to ask: how does Practical Data Science with R stand out? Why should a data scientist or an aspiring data...
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Skimming statistics papers for the ideas (instead of the complete procedures)
Been reading a lot of Gelman, Carlin, Stern, Dunson, Vehtari, Rubin “Bayesian Data Analysis” 3rd edition lately. Overall in the Bayesian framework some ideas (such as regularization, and imputation)...
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R style tip: prefer functions that return data frames
While following up on Nina Zumel’s excellent Trimming the Fat from glm() Models in R I got to thinking about code style in R. And I realized: you can make your code much prettier by designing more of...
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R minitip: don’t use data.matrix when you mean model.matrix
A quick R mini-tip: don’t use data.matrix when you mean model.matrix. If you do so you may lose (without noticing) a lot of your model’s explanatory power (due to poor encoding). For some modeling...
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