An Introduction to Z80 Machine Code

An Introduction to 6502 Machine Code

✍ PENFOLD, R.A. & J.W. 📂 Library 📅 1984 🏛 Bernard Babani Publishing 🌐 English

June 1986 reprint. [rear cover:] * In essence, machine code programming is direct programming of the microprocessor without using a built-in high-level computer language such as BASIC. * The vast increase in running speed obtained when writing programs in machine code is offset, to a

Introduction to the Z80 microcomputer

📁 Introduction to the Z80 microcomputer

✍ Adi J. Khambata. 📂 Library 📅 c1987. 🏛 J. Wiley, 🌐 English

Usborne introduction to machine code for

📁 Usborne introduction to machine code for beginners

✍ Wharton, Mike; Watts, Lisa 📂 Library 📅 1983 🏛 Usborne 🌐 English

A simple step-by-step guide to learning to program in machine code especially written for computers with a Z80 or 6502 microprocessor. Also included are tips on building short machine code subroutines in BASIC programs.</div>

An Introduction to Machine Translation

📁 An Introduction to Machine Translation

✍ W. John Hutchins, Harold L. Somers 📂 Library 📅 1992 🏛 Academic Press 🌐 English

The translation of foreign language texts by computers was one of the first tasks that the pioneers of computing and artificial intelligence set themselves. Machine translation is again becoming an important field of research and development as the need for translations of technical and commercial d

An Introduction to Machine Learning

📁 An Introduction to Machine Learning

✍ Miroslav Kubat 📂 Library 📅 2021 🏛 Springer 🌐 English

This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about temporal learning and hid

An Introduction to Machine Learning

📁 An Introduction to Machine Learning

✍ Miroslav Kubat 📂 Library 📅 2021 🏛 Springer 🌐 English

This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about temporal learning and hid