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Welcome to the comprehensive guide on office automation tools and essential digital skills. In this book, we will explore the world of office software applications, providing you with a thorough understanding of the most widely used tools for productivity and communication. Whether you're a student, professional, or someone looking to enhance your digital literacy, this book is designed to equip you with the knowledge and skills necessary to excel in today's d
Welcome to the comprehensive guide on office automation tools and essential digital skills. In this book, we will explore the world of office software applications, providing you with a thorough understanding of the most widely used tools for productivity and communication. Whether you're a student, professional, or someone looking to enhance your digital literacy, this book is designed to equip you with the knowledge and skills necessary to excel in today's digital workplace.Chapters of this book are designed to suit the syllabus of the subject “CSE-MD-1110: Office Automation Tools” , that is a subject of Undergraduate course of Rajiv Gandhi University, Rono Hills, Doimukh, India. I hope you find this book a valuable resource in your journey to mastering office automation tools and digital literacy.
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features provide numero
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features provide numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, clustering and classification; reviews a range of applications of data science, including recommender systems and related data analysis of text data; provides supplementary code resources and data.
Digital image processing deals with manipulation of digital images through a digital computer. It is a subfield of signals and systems but focus particularly on images. DIP focuses on developing a computer system that is able to perform processing on an image. The input of that system is a digital image and the system process that image using efficient algorithms, and gives an image as an output. The most common example is Adobe Photoshop. It is one of the wid
Digital image processing deals with manipulation of digital images through a digital computer. It is a subfield of signals and systems but focus particularly on images. DIP focuses on developing a computer system that is able to perform processing on an image. The input of that system is a digital image and the system process that image using efficient algorithms, and gives an image as an output. The most common example is Adobe Photoshop. It is one of the widely used applications for processing digital images.
This book gives you the knowledge of widely used methods and procedures for interpreting digital images for image enhancement and restoration and performing operations on images such as (blurring, zooming, sharpening, edge detection etc.). It also focuses on the understanding of how the human vision works. How do human eye visualize so many things, and how do brain interpret those images? The book also covers some of the important concepts of signals and systems such as (Sampling, Quantization, Convolution, Frequency domain analysis, and providing information Security using image processing).
In modern times, advances in machine learning have generated significant and improvements that are widespread how we interact with our world. One of the most portentous of these advances is the field of deep learning. Based on artificial neural networks that resemble those in the human brain, deep learning is a collection of methods that allows computers to understand from data without human supervision and intervention. Furthermore, these procedures can adjus
In modern times, advances in machine learning have generated significant and improvements that are widespread how we interact with our world. One of the most portentous of these advances is the field of deep learning. Based on artificial neural networks that resemble those in the human brain, deep learning is a collection of methods that allows computers to understand from data without human supervision and intervention. Furthermore, these procedures can adjust to changing surroundings and provide improvement that is continuous learned abilities. Today, deep learning is predominant within our everyday life in the form of Google’s search, Apple’s Siri, and Amazon’s and Netflix’s recommendation engines to call but a few examples. Whenever we interact with our email systems, online chatbots, and sound or image recognition systems deployed at businesses ranging from healthcare to financial services.
This book gives you the information of widely used practices, procedures, concepts and techniques taking part in Speech Recognition System such as for example, Artificial Intelligence, Machine Learning, Deep training and Data Mining.
This book starts with the basics-network planning and Red Hat installation and configuration. New features covered in this book include the Fedora and RHEL releases. The book demonstrates in detail how to set and optimize network and Internet services, monitor Red Hat Linux System Maintenance, the basics of Red Hat Linux security and troubleshooting and problem-solving advice. The user will learn how to: establish a network file system; configure mail services
This book starts with the basics-network planning and Red Hat installation and configuration. New features covered in this book include the Fedora and RHEL releases. The book demonstrates in detail how to set and optimize network and Internet services, monitor Red Hat Linux System Maintenance, the basics of Red Hat Linux security and troubleshooting and problem-solving advice. The user will learn how to: establish a network file system; configure mail services; configure TCP/IP networking and the Network Information System; connect to Microsoft, Apple and Novell networks; configure FTP services; configure mail services; maximize use of Red Hat Network; upgrade and customize the kernel; administer users and groups; install and upgrade software packages; and backup and restore the File System. Chapters of this book is designed to suit the syllabus of Bachelor of Computer Application course of Rajiv Gandhi University, Rono Hills, Doimukh, India. I believe that this book will also cater the need of all who begin to learn about the basics of Systems and Network Administration.
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