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Electronics and Communications Engineering Best Book
Semiconductor Physics and Devices by Neamen is a book meant for the undergraduatecourse in semiconductor physics and devices. The book aims to bring togetherquantum mechanics, the quantum theory of solids, semiconductor material physics andsemiconductor device physics which will provide a strong foundation for the buddingengineer to understand and participate in advancing the technology in this field.
Electronics & Communications Engineering Books
Digital Electronics is specially designed as a textbook for the undergraduate students of Electronics, Communciation, Computer Science, Electrical and Instrumentation Engineering for their introductory course on digital electronics or digital system and design.
Core Python Programming
The book is written in such a way that learners without any background in programming are able to follow and understand it entirely. It discusses the concepts of Java in a simple and straightforward language with a clear cut explanation, without beating around the bush.On reading the book, readers are able to write simple programs on their own, as this is the first requirement to become a Java Programmer. The book provides ample solved programs which could be used by the students not only in their examinations but also to remove the fear of programming from their minds.After reading the book, the students gain the confidence to apply for a software development company, face the interview board and come out successful. The book covers sample interview questions which were asked in various interviews. It helps students to prepare for their future careers.
Engineering book math
The book is a textbook for students of engineering, physics, mathematics, and computer science. The material is arranged in seven independent parts: ordinarydifferential equations, linear algebra, vector calculus, Fourier analysis, partial differential equations, complex analysis, numerical methods, optimization, graphs, probability, and statistics.
Learning with python
"How to Think Like a Computer Scientist: Learning with Python" is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures. *** Published under the terms of the GNU Free Documentation License. Money raised from the sale of this book supports the development of free software and documentation.
Hadoop Operations
Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You’ll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You’ll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you’ll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models
Cloud computing
The book is written in such a way that learners without any background in programming are able to follow and understand it entirely. It discusses the concepts of Java in a simple and straightforward language with a clear cut explanation, without beating around the bush.On reading the book, readers are able to write simple programs on their own, as this is the first requirement to become a Java Programmer. The book provides ample solved programs which could be used by the students not only in their examinations but also to remove the fear of programming from their minds.After reading the book, the students gain the confidence to apply for a software development company, face the interview board and come out successful. The book covers sample interview questions which were asked in various interviews. It helps students to prepare for their future careers.
Interactive Computer Graphics by Edward Angel
Computer animation and graphics-once rare, complicated, and comparatively expensive-are now prevalent in everyday life from the computer screen to the movie screen. "Interactive Computer Graphics "is the only introduction to computer graphics text for undergraduates that fully integrates OpenGL and emphasizes application-based programming. Using C and C++, the top-down, programming-oriented approach allows for coverage of engaging 3D material early in the course so students immediately begin to create their own 3D graphics. Low-level algorithms (for topics such as line drawing and filling polygons) are presented after students learn to create graphics. This book is suitable for undergraduate students in computer science and engineering, for students in other disciplines
Mobile and Wireless Design Essentials by Martyn MAllick
A developers appraoch to developing innovative mobile and wireless solutions. THis book tells about SML, MMS, WAP, and some markup languages like HDMS, WML, cHTML, XHTML and Voice XML. This book that provides a detailed analysis of mobile and wireless network technologies form a software developers perspective..