ALT Textbook by Steven Skiena Unique, handy reference package with a practical, hands-on appeal to a wide audience This classic bestseller has been fully updated, and enhanced with new and expanded material on hashing and randomized algorithms, divide and conquer algorithms, and dealing with hard problems (including quantum algorithms) Contains a highly unique catalog of the 75 most important algorithmic problems Additional useful information such as lecture slides and updates available via author's website

ALT Editors: Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana Open Access Book with >370k downloads to date Covers the use of data science technologies, including advanced machine learning, Semantic Web technologies, social media analysis, and time series forecasting for applications in economics and finance Shows successful applications of advanced data science solutions to extract knowledge from data in order to improve economic forecasting models Primarily targets data scientists and business analysts exploiting data science technologies, and research students in disciplines and courses related to economics and finance