This handbook covers basic concepts of Information and mathematical theory that deals with the fundamental aspects of communication systems. The purpose of this Hand-Book is to develop the foundation ideas of information theory and to indicate where and how the theory can be applied in a real-time scenario and applications. The Handbook is categorized into two parts (PART - I & PART - II) The objectivesof this Handbook is to Explain the concepts of information source and entropy, Demonstrate the working of various Encoding Techniques, Discuss various source encoding algorithms, Illustrate the use of Cyclic and convolution codes. The readers reliability from this Handbook is to Build the basic concepts of information source and measure of information, Apply different Encoding Schemes for given applications, Develop the different Source Encoding Algorithm for given applications.

The book introduces programming concepts through Python language. The simple syntax of Python makes it an ideal choice for learning programming. Because of the availability of extensive standard libraries and third-party support, it is rapidly evolving as the preferred programming language among the application developers. It will bolster your foundational skills in Artificial Intelligence. Make the most of our Expert Mentor-ship facility and gain a practical understanding of Artificial Intelligence and Machine Learning. Make the most of our real-world projects from diverse industries. The content in this book goes a long way towards helping you unlock lucrative career opportunities in the coveted fields of Artificial Intelligence and Machine Learning. The steps in creating computers that are as fluent in human language as people has long been a goal for scientists and the general public. Human language communication both represents and challenges an intelligence, because while languages appear to follow some unseen rules of spelling and grammar. Systems that understand or use language, which we call ?Natural Language Processing? (NLP) systems, have been created by specifying algorithms for computers based on the observable regularities of language noted by experts.Use this book to learn the principles and methods of NLP to understand what it is, where it is useful, how to use it, and how it might be used people. The book includes the core topics of modern NLP, including an overview of the syntax and semantics of English, benchmark tasks for computational language modeling, and higher level tasks and applications that analyze or generate language, using both rule-based search and machine learning approaches. It takes the perspective of a computer scientist. The primary themes are abstraction, data, algorithms, applications and impacts. It also includes some history and trends that are important for understanding why things have been done in a certain way

Reinforcement learning (RL) is a subfield of machine learning that deals with how an agent should learn to take actions in an environment to maximize some notion of cumulative reward. In other words, reinforcement learning is a learning paradigm where an agent learns to interact with an environment by taking actions and observing the feedback it receives in the form of rewards or penalties. It is a feedback-based Machine learning technique in which an agent learns to behave in an environment by performing the actions and seeing the results of actions. For each good action, the agent gets positive feedback, and for each bad action, the agent gets negative feedback or penalty.

Database management courses introduce students to languages, applications and programming used for the design and maintenance of business databases. One of the basic skills covered in database management courses is the use of Structured Query Language (SQL), the most common database manipulation language. Students learn to write programs with packages, debugging procedures, triggers and database structures using SQL. Database management courses may also cover Visual Basic programming language skills for program design. Other database management skills include the use of data and object modeling, relational algebra, relational data models and applications programming. The physical characteristics of databases, reliability and system performance are additional topics in database management. In database concepts classes, the emphasis is on normalization, data dictionaries and data integrity. Students' skill set upon course completion should include designing and implementing normalized databases using database reports and creating forms and tables. Students completing database applications classes will have the skills necessary to create multiple table systems with screens, updates and reports.

A one-stop desk reference for R&D engineers involved in communications engineering, this book will not gather dust on the shelf. It brings together the essential professional reference content from leading international contributors in the field. Material covers a wide scope of topics, including voice, computer, facsimile, video, and multimedia data technologies. - A hard-working desk reference, providing all the essential material needed by communications engineers on a day-to-day basis - Fundamentals, key techniques, engineering best practice and rules-of-thumb together in one quick-reference sourcebook - Definitive content by the leading authors in the field

Encompassing a broad range of innovative studies on planning support science, this timely Handbook examines how the consequences of pressing societal challenges can be addressed using computer-based systems. Chapters explore the use of new streams of big and open data as well as data from traditional sources, offering significant critical insights into the field.

Social media marketing has become indispensable for marketers who utilize social media to achieve marketing objectives ranging from customer care to advertising to commerce. This Handbook explores the foundations and methodologies in analysing the important aspects of social media for organisations and consumers. It investigates critical areas concerning communities, culture, communication and content, and considers social media sales. This Handbook brings together the critical factors in social media marketing as the essential reference set for researchers in this area of continued growth. It is essential reading for postgraduate students, researchers, and practitioners in a range of disciplines exploring the area. Part 1: Foundations of Social Media Marketing Part 2: Methodologies and Theories in Social Media Part 3: Channels and Platforms in Social Media Part 4: Tools, Tactics, and Techniques in Social Media Marketing Part 5: Management and Metrics in Social Media Part 6: Ethical Issues in Social Media