Principles of Data Analytics
نویسنده
چکیده
These are abridged lecture notes from the Spring 2017 course offering of “Principles of Data Analytics” that I offer at Iowa State University annually. This graduate level course offers an introduction to a variety of data analysis techniques, particularly those relevant for electrical and computer engineers, from an algorithmic perspective. Topics include techniques for classification, visualization, and parameter estimation, with applications to signals, images, matrices, and graphs. The material in these lecture notes are primarily adapted from the excellent online textbook, “Foundations of Data Science” (2016) by Blum, Hopcroft, and Kannan. Other resources used to construct these notes were “Advanced Algorithm Design” by Arora, “Theory Gems” by Madry, and “Convex Optimization” by Bubeck.
منابع مشابه
Big Data Analytics and Now-casting: A Comprehensive Model for Eventuality of Forecasting and Predictive Policies of Policy-making Institutions
The ability of now-casting and eventuality is the most crucial and vital achievement of big data analytics in the area of policy-making. To recognize the trends and to render a real image of the current condition and alarming immediate indicators, the significance and the specific positions of big data in policy-making are undeniable. Moreover, the requirement for policy-making institutions to ...
متن کاملA Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection
Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....
متن کاملApplication of Big Data Analytics in Power Distribution Network
Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...
متن کاملP-V-L Deep: A Big Data Analytics Solution for Now-casting in Monetary Policy
The development of new technologies has confronted the entire domain of science and industry with issues of big data's scalability as well as its integration with the purpose of forecasting analytics in its life cycle. In predictive analytics, the forecast of near-future and recent past - or in other words, the now-casting - is the continuous study of real-time events and constantly updated whe...
متن کاملLet’s Talk Ethics: Privacy and Data Protection Framework for a Learning Analytics Toolbox
To find a balance between learning analytics research and individual privacy a learning analytics project needs to appropriately address privacy and data protection issues and comply with relevant legal regulations. A range of general guidelines, model codes, and principles for appropriate data and privacy protection exist that may serve the consideration of these topics in a learning analytics...
متن کاملStoryboarding for visual analytics
Analysts wish to explore different hypotheses, organize their thoughts into visual narratives and present their findings. Some developers have used algorithms to ascertain key events from their data, while others have visualized different states of their exploration and utilized free-form canvases to enable the users to develop their thoughts. What is required is a visual layout strategy that s...
متن کامل