Undergraduate Theses by To my family, Alexandra, Dmitry, Michelle, and my students, 1 file
Keamanan komputer dan jaringan, juga disebut keamanan siber, adalah salah satu subjek yang paling penting untuk dipertimbangkan saat menangani masalah komputer, jaringan, dan data.…
Undergraduate Theses by Chris Fregly and Antje Barth, 1 file
Dalam bab ini, kita membahas manfaat membangun proyek ilmu data di cloud. Kami mulai dengan membahas manfaat komputasi awan. Selanjutnya, kami menggambarkan tipikal alur kerja mach…
Deep learning is an immensely rich subfield of machine learning, with powerful applications ranging from machine perception to natural language processing, all the way up to creati…
Decision making is the process of selection of best choice made logically from the accessible options. Decision making analyzes the large volume of data in a particular field and i…
Intended audience This book is intended for a graduate-level researcher in machine learning or an advanced undergraduate student. The discussions of graph-structured data and graph…
Intended audience This book is intended for a graduate-level researcher in machine learning or an advanced undergraduate student. The discussions of graph-structured data and graph…
This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and p…
This book provides an accessible introduction to Spark and Spark MLlib. However, this is not yet another book on the standard Spark MLlib algorithms. This book focuses on powerful…
Natural Language Processing (NLP) is an interdisciplinary area of research aimed at making machines understand and process human languages. It is an evolving field, with a rapid in…
Lifelong Machine Learning (or Lifelong Learning) is an advanced machine learning paradigm that learns continuously, accumulates the knowledge learned in previous tasks, and uses it…
Graphical causal inference as pioneered by Judea Pearl arose from research on artiï¬Âcial intelligence (AI), and for a long time had little connection to the ï¬Âeld of machin…
This monograph aims at providing an introduction to key concepts, algorithms, and theoretical results in machine learn- ing. The treatment concentrates on probabilistic models for…
Book by Shai Shalev-Shwartz and Shai Ben-David, 1 file
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…
Book by Carl Edward Rasmussen Christopher K. I. Williams, 1 file
The goal of building systems that can adapt to their environments and learn from their experience has attracted researchers from many ï¬Âelds, including computer science, engine…
This document is intended to help those with a basic knowledge of machine learning get the benefit of best practices in machine learning from around Google. It presents a style for…