In this roundup, we look at 582 Top Software Engineering Blogs. These blogs are interesting because they don’t simply focus on a single field in software engineering, but cover a wide range of topics touching a plethora of ideas. It also includes big names worldwide and is grouped into 3 different categories – companies, individuals / group contributors and products / technologies.
This post is a curated list of awesome Site Reliability and Production Engineering resources. These resources include books, articles, blogs, newsletters covering various topics such as culture, reliability, monitoring, planning, SLA and many more.
This list tries to cover from basic introductory to deep analytical data science materials. You’ll also find various curriculums for learning Data Science. Foundational in both theory and technologies, the Open Source Data Science Masters (OSDSM) breaks down the core competencies necessary to making use of data. All kinds of topics will be covered, including Python, machine learning, specific topics such as statistics, databases, linear algebra / programming, etc., courses, tutorials and a long list of blogs which you can follow and refer to.
This Special Issue on Real-Time Optimization includes both methodological and practical contributions. All seven methodological contributions deal with explicit RTO schemes that repeat the optimization when new measurements become available.
This course concentrates on the latter theme: the representation, manipulation, transmission, and reception of information by electrical means. This course describes what information is, how engineers quantify information, and how electrical signals represent information.
Digital Signal Processing is the science of using computers to understand these types of data. This includes a wide variety of goals: filtering, speech recognition, image enhancement, data compression, neural networks, and much more. DSP is one of the most powerful technologies that will shape science and engineering in the twenty-first century.
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and linear algebra as taught in a first or second year undergraduate course on mathematics for scientists and engineers.
Bruce Hajek is a professor of the department of electrical and computer engineering, research professor of coordinated science laboratory and hoeft chair of college of engineering at University of Illinois. His research interests include Communication Networks, Auction Theory (e.g. combinatorial auctions for sale of spectrum licenses), Stochastic Analysis, Combinatorial Optimization, Machine Learning, Information Theory and Bioinformatics.
This Special Issue gathers 20 fine contributions on audio signal processing, a topic which belongs to the Applied Acoustics section in this journal, Applied Sciences. These articles include revised and extended versions of three papers which won Best Paper Awards at the 2015 International Conference on Digital Audio Effects (DAFX-15) and also new versions of three papers which were presented at the 2015 International Computer Music Conference (ICMC-15).