WOW! eBook

Modern Parallel Programming with C++ and Assembly Language 0

Computer Science & Computer Engineering / Hardware & DIY / Programming / Software Development

Modern Parallel Programming with C++ and Assembly Language

eBook Details: Paperback: 653 pages Publisher: WOW! eBook (April 13, 2022) Language: English ISBN-10: 1484279174 ISBN-13: 978-1484279175 eBook Description: Modern Parallel Programming with C++ and Assembly Language: X86 SIMD Development Using AVX, AVX2, and AVX-512 Learn the fundamentals of x86 Single instruction multiple data (SIMD) programming using C++ intrinsic functions and x86-64 assembly language. This book emphasizes x86 SIMD programming topics and technologies that are relevant to modern software development in applications which can exploit data level parallelism, important for the processing of big data, large batches of data and related important in data science and much more. Modern Parallel Programming...

Pro Serverless Data Handling with Microsoft Azure 1

Cloud Computing / Databases & Big Data / Software Development

Pro Serverless Data Handling with Microsoft Azure

eBook Details: Paperback: 332 pages Publisher: WOW! eBook (March 27, 2022) Language: English ISBN-10: 1484280660 ISBN-13: 978-1484280669 eBook Description: Pro Serverless Data Handling with Microsoft Azure: Architecting ETL and Data-Driven Applications in the Cloud Design and build architectures on the Microsoft Azure platform specifically for data-driven and ETL applications. Modern cloud architectures rely on serverless components more than ever, and this book helps you identify those components of data-driven or ETL applications that can be tackled using the technologies available on the Azure platform. The Pro Serverless Data Handling with Microsoft Azure book shows you which Azure components are best suited...

Python for MATLAB Development 3

Computer Science & Computer Engineering / Databases & Big Data / Programming

Python for MATLAB Development

eBook Details: Paperback: 728 pages Publisher: WOW! eBook (March 26, 2022) Language: English ISBN-10: 1484272226 ISBN-13: 978-1484272220 eBook Description: Python for MATLAB Development: Extend MATLAB with 300.000+ Modules from the Python Package Index: MATLAB can run Python code! Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array of computational problems in science, engineering, optimization, artificial intelligence, statistics, finance, and simulation. It is three books in one: A thorough Python tutorial that leverages your existing MATLAB knowledge with a comprehensive collection of MATLAB/Python equivalent expressions A reference guide to setting up and managing a Python...

Adaptive Machine Learning Algorithms with Python 4

Computer Science & Computer Engineering / Databases & Big Data / Programming

Adaptive Machine Learning Algorithms with Python

eBook Details: Paperback: 297 pages Publisher: WOW! eBook (March 27, 2022) Language: English ISBN-10: 1484280164 ISBN-13: 978-1484280164 eBook Description: Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices Learn to use adaptive algorithms to solve real-world streaming data problems. This Adaptive Machine Learning Algorithms with Python book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, and create new algorithms for your own use. Authors Chanchal Chatterjee and Vwani...

Hands-on Machine Learning with Python 3

Computer Science & Computer Engineering / Databases & Big Data / Programming

Hands-on Machine Learning with Python

eBook Details: Paperback: 355 pages Publisher: WOW! eBook (March 6, 2022) Language: English ISBN-10: 1484279204 ISBN-13: 978-1484279205 eBook Description: Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios. The Hands-on...