The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own.
Practitioners in these and related fields will find this book perfect for self-study as well. Steven S. Skiena is Distinguished Teaching Professor of Computer Science at Stony Brook University, with research interests in data science, natural language processing, and algorithms.
Skiena detailed in the below table…. Step-1 : Read the Book Name and author Name thoroughly. Step-4 : Click the Download link provided below to save your material in your local drive. LearnEngineering team try to Helping the students and others who cannot afford buying books is our aim. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms.
The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. More than any other book it helped me understand just how astonishingly commonplace and important graph problems are?
The book also covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve them, without too much detail.
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