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Fundamentals of Machine Design: Volume 1 - Ajeet Singh - Bog - Cambridge University Press - Plusbog.dk

Fundamentals of Machine Design: Volume 1 - Ajeet Singh - Bog - Cambridge University Press - Plusbog.dk

Providing extensive coverage and comprehensive discussion on the fundamental concepts and processes of machine design, this book begins with detailed discussion of the types of materials, their properties and selection criteria for designing. The text, the first volume of a two volume set, covers different types of stresses including direct stress, bending stress, torsional stress and combined stress in detail. It goes on to explain various types of temporary and permanent joints including pin joint, cotter joint, threaded joint and welded joint. Finally, the book covers the design procedure of keys, cotters, couplings, shafts, levers and springs. Also examined are applications of different types of joints used in boilers, bridges, power presses, automobile springs, crew jack and coupling.

DKK 769.00
3

A Hands-On Introduction to Machine Learning - Chirag (university Of Washington) Shah - Bog - Cambridge University Press - Plusbog.dk

A Hands-On Introduction to Machine Learning - Chirag (university Of Washington) Shah - Bog - Cambridge University Press - Plusbog.dk

Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book.

DKK 495.00
3

Neural Machine Translation - Philipp (the Johns Hopkins University) Koehn - Bog - Cambridge University Press - Plusbog.dk

Neural Machine Translation - Philipp (the Johns Hopkins University) Koehn - Bog - Cambridge University Press - Plusbog.dk

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.

DKK 627.00
3

Machine Learning Fundamentals - Hui (york University Jiang - Bog - Cambridge University Press - Plusbog.dk

Machine Learning Fundamentals - Hui (york University Jiang - Bog - Cambridge University Press - Plusbog.dk

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

DKK 457.00
3