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Kecerdasan Buatan
Buku Ajar Kecerdasan Buatan ini disusun untuk menjadi panduan yang lengkap bagi mahasiswa, dosen, dan praktisi dalam memahami berbagai konsep dan penerapan kecerdasan buatan (AI). Buku ini dimulai dengan pengenalan dasar AI, mencakup pengertian, tujuan, serta perbedaannya dengan kecerdasan alami. Selanjutnya, pembaca diajak memahami peran penting algoritma dalam AI dan langkah-langkah analisis data yang menjadi inti dari proses pengembangan kecerdasan buatan. Pembahasan kemudian berlanjut ke berbagai teknik pencarian (searching) dan metode representasi pengetahuan, termasuk logika fuzzy dan sistem pakar yang membantu AI dalam mengambil keputusan. Di dalam buku ini, juga dijelaskan konsep dan...
Professional CUDA C Programming
Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the "hard" and "soft" aspects of GPU programming. Computing architectures are experiencing a fundamental shi...
CUDA Programming
'CUDA Programming' offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation.
Science and Technology of High Pressure
These books presents a wide spectrum of research and development activities in the field of High Pressure Science and Technology. These book provide comprehensive and interdisciplinary descriptions of recent research accomplishments in the biological, chemical, Earth, materrals, physical, physiological and related sciences.
Hands-On GPU Programming with Python and CUDA
Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book. Key FeaturesExpand your background in GPU programming—PyCUDA, scikit-cuda, and NsightEffectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolverApply GPU programming to modern data science applicationsBook Description Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You’ll then see how to â...
Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPU Key FeaturesExplore examples to leverage the GPU processing power with OpenCV and CUDAEnhance the performance of algorithms on embedded hardware platformsDiscover C++ and Python libraries for GPU accelerationBook Description Computer vision has been revolutionizing a wide range of industries, and OpenCV is the most widely chosen tool for computer vision with its ability to work in multiple programming languages. Nowadays, in computer vision, there is a need to process large images in real time, which is difficult to handle for OpenCV on its ...
Hands-On GPU Computing with Python
Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate Key FeaturesUnderstand effective synchronization strategies for faster processing using GPUsWrite parallel processing scripts with PyCuda and PyOpenCLLearn to use the CUDA libraries like CuDNN for deep learning on GPUsBook Description GPUs are proving to be excellent general purpose-parallel computing solutions for high performance tasks such as deep learning and scientific computing. This book will be your guide to getting started with GPU computing. It will start with introducing GPU computing and explain the architecture and programming mod...
UMTA-IT
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Sample Design in Business Research
Sets forth the theory and practice of sampling designs and presents methods for sampling. This classic also provides standards of professional statistical practice and discusses concepts and operational definitions.
