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  • Sistem Keamanan Cerdas Bagaimana Kecerdasan Buatan, Pembelajaran Mesin, dan Ilmu Data Bekerja untuk dan Melawan Keamanan Komputer
    Keamanan komputer dan jaringan, juga disebut keamanan siber, adalah salah satu subjek yang paling penting untuk dipertimbangkan saat menangani masalah komputer, jaringan, dan data.…
  • Concise Guide to Formal Methods
    The audience of this book includes computer science students who wish to gain a broad and accessible overview of formal methods and its applications to the computing field. Thi…
  • Query Answering over Ontologies Using Controlled Natural Languages
    In this thesis we define and study the expressive power and the data complexity of a certain number controlled languages for ontology-based data access systems (OBDASs), in whi…
  • Two-Step Approaches to Natural Language Formalisms
    Since the book combines techniques from many areas of linguistics, (theoretical) computational linguistics, (theoretical) computer science and mathematics, it may require some inte…
  • Practical Natural Language Processing A Pragmatic Approach to Processing and Analyzing Language Data
    Natural language processing (NLP) is a field at the intersection of computer science, artificial intelligence, and linguistics. It concerns building systems that can process and un…
  • Software Engineering 2014
    This document was developed through an effort originally commissioned by the ACM Education Board and the IEEE-Computer Society Educational Activities Board to create curriculum rec…
  • Computer Science Curricula 2013
    ACM and IEEE-Computer Society have a long history of sponsoring efforts to establish international curricular guidelines for undergraduate programs in computing on roughly a tenyea…
  • Computing Curricula 2020
    The field of computing has dramatically influenced science, engineering, business, education, philanthropy, and many other areas of human endeavor. In today’s world, nearly everyon…
  • Understanding Machine Learning: From Theory to Algorithms
    Machine learning is one of the fastest-growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorit…
  • Computer Science Concepts in Scratch
    This book will familiarize you with the Scratch visual programming environment. Scratch users have many different goals: some will build games for entertainment, while others will…
  • Gaussian Processes for Machine Learning
    The goal of building systems that can adapt to their environments and learn from their experience has attracted researchers from many fields, including computer science, engine…
  • Foundations of Computation
    Foundations of Computation is a textbook for a one semester introductory course in theoretical computer science. It includes topics from discrete mathematics, automata theory, form…
  • Digital Circuit Projects: An Overview of Digital Circuits Through Implementing Integrated Circuits - Second Edition
    Digital circuits, often called Integrated Circuits or ICs, are the central building blocks of a Central Processing Unit (CPU). To understand how a computer works, it is essential t…
  • Open Data Structures (in pseudocode)
    There are plenty of books that teach introductory data structures. Some of them are very good. Most of them cost money, and the vast majority of computer science undergraduate stud…
  • Brief Introduction to Machine Learning without Deep Learning
    This is a lecture note for the course CSCI-UA.0473-001 (Intro to Machine Learning) at the Department of Computer Science, Courant Institute of Mathematical Sciences at New York Uni…
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