Category: Featured

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Reinforcement Learning (RL) is likely to be the next big push in artificial intelligence.  It’s the core technique for robotics, smart IoT, game play, and many other emerging areas.  But the concept of modeling in RL is very different from our statistical techniques and deep learning.  In this two part series we’ll take a look at the basics of RL models, how they’re built and used.  In the next part, we’ll address some of the complexities that make development a challenge. Now that we have pretty much conquered ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Here we describe a rudimentary method, using basic trigonometry, to predict lunar and solar eclipses. The purpose is to get people interested in the mathematics behind these events. We assume here that the Sun, the Earth and the Moon are just points. Thus we do not predict where on Earth eclipses take place, nor whether they are full of partial. But we derive some interesting results, such as Solar eclipses are as frequent as lunar eclipses On average, a solar eclipse occurs somewhere on Earth every 29 days or ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ammar A. Raja. First it was Machine Learning, and now all of a sudden Deep Learning is taking all the thunder even from Machine Learning. So what's the difference, and why all of a sudden Deep Learning has become the most buzzing new Technology of our Era? Is Deep Learning a false idol being Ubiquitously worshiped or is it the panacea which is going to take us to our Utopia? Is Deep Learning a false idol being Ubiquitously worshiped or is it the panacea which is going to take us to ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Pradeep Menon. The last few blog posts of this series discussed regression models. Fernando has selected the best model. He has built a multivariate regression model. The model takes the following shape: price = -55089.98 + 87.34 engineSize + 60.93 horse power + 770.42 width The model predicts or estimates price (target) as a function of engine size, horsepower, and width (predictors). The model has all the predictors as numeric values. What if there are qualitative variables? How can the qualitative variables be used in enhancing the models? How are the qualitative variables interpreted? These are ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Favio Vázquez. Outdated, inaccurate, or duplicated data won’t drive optimal data driven solutions. When data is inaccurate, leads are harder to track and nurture, and insights may be flawed. The data on which you base your big data strategy must be accurate, up-to-date, as complete as possible, and should not contain duplicate entries. Clean data results in better decisions. Cleaning data is the most time-consuming and least enjoyable data science task (until Optimus), but one of the most important ones. No one can start a data science, machine learning or data driven solution without being sure that the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Data Geek. Guest blog by Rob Kabacoff. Rob is Professor of Quantitative Analytics at Wesleyan University. R is an elegant and comprehensive statistical and graphical programming language. Unfortunately, it can also have a steep learning curve. I created this website for both current R users, and experienced users of other statistical packages (e.g., SAS, SPSS, Stata) who would like to transition to R. My goal is to help you quickly access this language in your work. I assume that you are already familiar with the statistical methods covered and instead provide you with a roadmap and the code ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Data Geek. From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science. The first area is the data science pipeline including methodologies and the data scientist's toolbox. The second are essential practices needed in understanding the data including questions and hypotheses. The third are pitfalls to avoid in the data science process. The fourth is an awareness of future trends and how modern technologies like Artificial Intelligence (AI) fit into the data science framework.  The following chapters cover these four foundational areas: ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Data Geek. Hadley Wickham is an Assistant Professor and the Dobelman FamilyJunior Chair in Statistics at Rice University. He is an active memberof the R community, has written and contributed to over 30 R packages, and won the John Chambers Award for Statistical Computing for his work developing tools for data reshaping and visualization. His research focuses on how to make data analysis better, faster and easier, with a particular emphasis on the use of visualization to better understand data and models. Garrett Grolemund is a statistician, teacher and R developer ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: HAN Lijun. How Big Is a Terabyte of Data? By JINAG Buxing It seems that one mile distance isn’t long, and that a cubic mile isn’t that big if compared with the size of the earth. You may be surprised if I tell you the entire world’s population could all fit in a cubic mile of space. Hendrik Willem van Loon, a Dutch-American writer, once wrote the similar thing in one of his books. Teradata is a famous provider of database warehousing products. The brand name was designed to be impressive ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. This is a nightmare! Tadayoshi Kohno, Professor at Department of Computer Science and Engineering, University of Washington, manipulated a STOP sign in a typical "graffiti way", that it was recognized as 45 mph SPEED limit by typical AI software, such as built into a Tesla S. It's very likely, that it will become a sport to send Tesla drivers to hell.  Compromised stop sign to confuse driver-less cars Here is the abstract of this paper: Deep neural network-based classifiers are known to be vulnerable to adversarial examples that can fool ... Read More