Tag: statistics
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Data Science: The Paper that Started it All
Although Tobias Mayer may be known as the first data scientist, he did not coin the term data science. According to Wikipedia, the first use of the term data science was in 2001. Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics was published in the April 2001 edition…
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Elements of Statistical Learning Textbook (Free)
The Elements of Statistical Learning textbook is available for free. It is a classic, widely-used textbooks for statistics and machine learning. Here is a far from complete list of some of the topics: Supervised Learning Linear/Logistic Regression Regularization Model Selection Trees Neural Networks Support Vector Machines Random Forests Unsupervised Learning Clustering As you can see,…
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Enterprise Software Doesn’t Have to Suck: Software engineer’s guide to getting started with data science
Enterprise Software Doesn't Have to Suck: Software engineer's guide to getting started with data science. If you know how to code and want to learn data science, this post has some enlightening material.
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Data Science Links from Recent Days
Computer scientists discover statistics and find it useful – Ever wonder why computer scientists are getting all the attention for data science? Well, computer scientists stole ideas from statistics. Read the article and it will make more sense. Top 3 Myths About Data Science – Here is a highlight of the myths: Data science is…
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Learn R for Free at Code School
Code School is offering a course title Try R. The course is completely free and can be completed online with the interactive tutorial. You will learn by doing. If you have been looking to learn R or need a quick refresher, this is probably a very good option.
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Why Data Science Is Hard To Teach At School
Cathy O’Neil(on the right) provides some great details about why it is difficult to teach data science in college. She also mentions that some of the best people to lead data science programs are probably not publishing papers. They are working in industry.
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Free Bayesian and Machine Learning Textbook
David Barber, Computer Science Professor at University College London, is still offering his textbook, Bayesian Reasoning and Machine Learning, for free. This text looks quite extensive. The website also includes matlab code for many of the algorithms in the book.
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Free Bayesian Statistics Textbook
Think Bayes by Allen B. Downey is another free book available from Green Tree Press. Allen B. Downey is a computer science professor at Olin College. The book is currently available in PDF or HTML. The book is not yet complete, so it may contain some errors.
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What is a Data Scientist?
A nice short and sweet video about what a data scientist is. Josh Wills of Cloudera defines a data scientist as follows: Person who is better at statistics than any software engineer and better at software engineering than any statistician. I would say that definition is pretty good.
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blog.untrod.com: Engineering Practices in Data Science
This is a great post by Chris Clark of Kaggle. It explains some of the primary differences among engineers and statisticians. Both groups have something to learn from each other. blog.untrod.com: Engineering Practices in Data Science.
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The Statistical Sleuth in R
Nicholas Horton, Professor of Statistics at Smith College, has published a nice set of R tutorials that go along with the book The Statistical Sleuth. If you are looking to learn R, this might be a good place to start. Once again, see the R tutorials here.
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Free Open-Source Statistics Cookbook
Matthias Vallentin, a computer science PhD student at UC Berkeley, has published a Probability and Statistics Cookbook. The book can be freely downloaded in PDF format via the website. Also, the latex source is available on Github. Matthias states that others are free to fork the source and make changes. The book is not a…