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The Center of Expertise in Big Geodata Science (CRIB) has a small library dedicated to books on big-data related topics, such as parallel and distributed algorithms, GPU computing, optimization, and machine learning. Electronic copies of most of the books are available through the FindUT service of the University Library. Physical copies of the books are available at the CRIB office (ITC Building, 2-154) for reference purposes only (no-loan).

Advanced Python Programming: Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns
1st Edition
Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis
ISBN-13: 978-1838551216

Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching
3rd Edition
Robert Sedgewick
ISBN-13: 978-0201350883

Algorithms in C++, Part 5: Graph Algorithms
3rd Edition
Robert Sedgewick
ISBN-13: 978-0201361186

C++ Concurrency in Action
2nd Edition
Anthony Williams
ISBN-13: 978-1617294693

Data Mining: Practical Machine Learning Tools and Techniques
4th Edition
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal
ISBN-13: 978-0128042915

Data Science with Python and Dask
1st Edition
Jesse Daniel
ISBN-13: 978-1617295607

Deep Learning: A Practitioner's Approach
1st Edition
Josh Patterson, Adam Gibson
ISBN-13: 978-1491914250

GPU Parallel Program Development Using CUDA
1st Edition
Tolga Soyata
ISBN-13: 978-1498750752

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Aurelien Geron
ISBN-13: 978-1492032649

Professional CUDA C Programming
1st Edition
John Cheng, Max Grossman, Ty McKercher
ISBN-13: 978-1118739327

Professional Linux Kernel Architecture
1st Edition
Wolfgang Mauerer
ISBN-13: 978-0470343432