Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes / Arjun Panesar
Machine learning with health care perspective: machine learning and healthcare / Vishal Jain, Jyotir Moy Chatterjee, editors
The discrete charm of the machine: why the world became digital / Ken Steiglitz
NPIC-HMIT 2019: 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC & HMIT 2019: February 9-14, 2019, Orlando, FL
Practical control of electric machines: model-based design and simulation / Rubén Molina Llorente
[ASAP] A Biological Nanomachine at Work: Watching the Cellulosome Degrade Crystalline Cellulose
Interpreters vs machines
Title: Interpreters vs machines [electronic resource] : can interpreters survive in an AI-dominated world? / Jonathan Downie.
Author: Downie, Jonathan, author.
Imprint: London New York, NY : Routledge, 2020.
Shelfmark: Taylor & Francis ebooks
Subjects: Translating and interpreting.
Machine translating.
Machine translating. fast (OCoLC)fst01004851
Translating and interpreting. fast (OCoLC)fst01154795
Machine Learning for iOS Developers
Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple iOS machine learning practitioner! Machine earning (ML) is the science of getting computers to act without being explicitly programmed. A branch of Artificial Intelligence (AI), machine learning techniques offer ways to identify trends, forecast behavior, and make recommendations. The Apple iOS Software Development Read More... |