Applied Machine Learning and High-Performance Computing on AWS 1

Applied Machine Learning and High-Performance Computing on AWS

eBook Details: Paperback: 382 pages Publisher: WOW! eBook (December 30, 2022) Language: English ISBN-10: 1803237015 ISBN-13: 978-1803237015 eBook Description: Applied Machine Learning and High-Performance Computing on AWS: Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMaker Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles. This book provides end-to-end guidance, starting with HPC concepts for storage and...

Geospatial Analysis with SQL 0

Geospatial Analysis with SQL

eBook Details: Paperback: 234 pages Publisher: WOW! eBook (January 27, 2023) Language: English ISBN-10: 180461646X ISBN-13: 978-1804616468 eBook Description: Geospatial Analysis with SQL: Leverage the power of SQL to perform geospatial analysis and increase your speed and efficiency working with a variety of spatial applications such as PostGIS and QGIS Geospatial analysis is used in almost every industry to answer location-related questions. Combined with the power of SQL, which is becoming a popular choice for developers and analysts worldwide, this technology will help you to solve real-world spatial problems easily. This book shows you how to detect and quantify patterns in datasets...

Numerical Methods Using Kotlin 0

Numerical Methods Using Kotlin

eBook Details: Paperback: 921 pages Publisher: WOW! eBook (January 14, 2023) Language: English ISBN-10: 1484288254 ISBN-13: 978-1484288252 eBook Description: Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started. In this book, you’ll implement numerical algorithms in...

Pro Deep Learning with TensorFlow 2.0 1

Pro Deep Learning with TensorFlow 2.0

eBook Details: Paperback: 672 pages Publisher: WOW! eBook; 2nd edition (January 15, 2023) Language: English ISBN-10: 1484289307 ISBN-13: 978-1484289303 eBook Description: Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python, 2nd Edition This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0. Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable...

Architecture of Advanced Numerical Analysis Systems 0

Architecture of Advanced Numerical Analysis Systems

eBook Details: Paperback: 485 pages Publisher: WOW! eBook (December 27, 2022) Language: English ISBN-10: 1484288521 ISBN-13: 978-1484288528 eBook Description: Architecture of Advanced Numerical Analysis Systems: Designing a Scientific Computing System using OCaml This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This Architecture of Advanced Numerical Analysis Systems book is based on the authors’ first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. Optimize core operations based on N-dimensional arrays Design and implement an industry-level algorithmic differentiation module Implement mathematical optimization, regression, and deep neural network functionalities...