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Название: Object-Oriented Analysis, Design and Implementation: An Integrated Approach 3rd Edition
Автор: Brahma Dathan, Sarnath Ramnath
Издательство: Springer/Universities Press
Серия: Undergraduate Topics in Computer Science
Год: 2025
Страниц: 486
Язык: английский
Формат: pdf (true), epub
Размер: 32.2 MB

This new edition demonstrates a modeling-based approach to object-oriented development. It is a significant and comprehensive revision of the book. While the central focus remains the same as in previous editions, the reader will notice substantial improvements in the presentation. Computer Science curricula have changed, a new version of Java has become available, new ideas about teaching and learning have been explored, changes have taken place in the way that object-oriented principles are put into practice, and we have got useful feedback from other instructors, and discovered ways of integrating new and relevant concepts into our case studies. The most important change of all, however, is what we have learned from our students through numerous iterations of our course. The third edition incorporates our response to all these changes, while maintaining the basic structure of using student project experiences. As university curricula and student experiences change, so too does the background of students entering this course.

Название: Mathematical Foundations of Computer Science (For II Year B.Tech. (I Semester) and I Year M.C.A. (I Semester) Students)
Автор: G. Shanker Rao
Издательство: I.K. International Pvt. Ltd./Dreamtech Press
Год: 2020
Страниц: 454
Язык: английский
Формат: pdf (true)
Размер: 11.8 MB

Mathematical Foundations of Computer Science explains the fundamental concepts in mathematics. It can be used by the students in Computer Science as an introduction to the underlying ideas of mathematics for Computer Science. It explains topics like mathematical logic, predicates, relations, functions, combinatorics, algebraic structures and graph theory. It would be useful for the students of B.Tech, BCA, & MCA. Key Comprehensive discussion on logic, function, algebraic systems, recurrence relations and graph theory Wide variety of exercises at all levels Several worked out examples.

Название: Machine Learning
Автор: Anuradha Srinivasaraghavan, Vincy Joseph
Издательство: Wiley
Год: 2019
Страниц: 328
Язык: английский
Формат: epub
Размер: 10.1 MB

Machine Learning (ML) belongs to a category of algorithms that allows for more accurate prediction without being explicitly programmed. It is similar to data mining and predictive modeling, especially where all three techniques require searching for patterns and adjusting program actions. Machine Learning algorithms are classified into supervised and unsupervised learning algorithms. In the case of supervised learning algo-rithms, data scientists have a set of training data through which they build the model. This book is for neophyte users who are getting acquainted to the concept of ML. This book is written keeping in mind the academic needs and requirements of undergraduate students. The language used in the book is simple and there are more than adequate examples. This book is an effort to deliver to the best of our abilities the concept of Machine Learning to beginners. It was a real challenge that was worth it at the end. Our first-time writing experience has been a wonderful journey, from the time we decided to write the book till its present form. It has really been a challenging experience to complete the latest updates about the subject, keeping in mind that we are catering to first-time readers. This book offers the readers the basics of Machine Learning in a very simple, user-friendly language. Chapters 3 and 4 elaborate on the basics of matrices and the basics of Python, which serve as the prerequisite for understanding Machine Learning.

Название: Deep Learning Using Python
Автор: S. Lovelyn Rose, L. Ashok Kumar, D. Karthika Renuka
Издательство: Wiley
Год: 2020
Страниц: 356
Язык: английский
Формат: epub
Размер: 16.4 MB

Deep Learning is an area that has garnered a lot of attention in recent past. It is a subdivision of Machine Learning. Machine Learning is a type of algorithm in which the user gives the input and expected output, and expects the machine to learn (find) the algorithm (model) to produce the desired (expected) output. This is in stark contrast to programming wherein we give the input and the algorithm produces the output. Machine Learning tasks take a set of data that is termed as dataset. The Machine Learning algorithm finds the patterns and inferences that can be made on the dataset. Learning the concepts of Deep Learning is not enough to handle real-time cases. Deep Learning Using Python aims at giving a hands-on experience on common Deep Learning applications using popular frameworks of the most suitable language, Python. There is no need for a reader to be a professional programmer. All the codes are simple and the exhaustive comments will help readers to understand of the available code. The readers will be able to solve AI problems using neural networks and Deep Learning architectures.

Название: Cracking The Java Interviews With Sumit: A good Interview Can Change Your Life
Автор: Sumit M
Издательство: Independently published
Год: Dec-2024 (Version 4)
Страниц: 343
Язык: английский
Формат: epub
Размер: 10.1 MB

A Java interview book written by Sumit and reviewed by several interview panels and senior Java developers in the industry. This book is not just a collection of questions and answers. It is a meticulously crafted resource that aims to provide deep insights into the nature of Java interviews. Sumit, with years of experience both as a candidate and as an interviewer, brings a unique perspective that bridges the gap between theoretical knowledge and practical application. His approach is holistic, covering not only the technical aspects of Java but also the mindset required to excel in an interview setting. Within these pages, you will find a blend of fundamental concepts, advanced topics, and real-world scenarios that are frequently encountered in interviews. Each chapter is structured to build your understanding progressively, ensuring that you are well-prepared for even the most challenging questions. In addition to the technical content, this book offers some valuable real interview reports. By fostering a deeper comprehension of Java and its applications, this book aims to equip you with the confidence and competence needed to stand out in any interview.

Название: Introducing Python: Modern Computing in Simple Packages, 3rd Edition (2nd Early Release)
Автор: Bill Lubanovic
Издательство: O’Reilly Media, Inc.
Год: 2024-12-11
Страниц: 171
Язык: английский
Формат: epub
Размер: 10.1 MB

Stuck in a coding conundrum? Whether you're an advanced beginner, an intermediate developer, or a curious newcomer, the complexities of coding can often feel like a labyrinth with no exit. With Python, however, you can start writing real code quickly—but where should you start? In this updated third edition, Bill Lubanovic acts as your personal guide to Python, offering a clear path through the intricacies and capabilities of this much-beloved coding language, including new chapters on AI models and performance enhancements. Easy to understand and enjoyable to read, this book not only teaches you the core concepts but also dives into practical applications that bridge the gap between learning and doing. Although it helps if you’ve done some programming before, I want to make it possible for beginning programmers to get something out of this book. Python is an excellent first computing language, and you don’t need to read and understand all of this book to get started.

Название: Deep Learning with TensorFlow and Keras
Автор: Pratap Dangeti
Издательство: Wiley
Год: 2020
Страниц: 339
Язык: английский
Формат: epub
Размер: 11.8 MB

Truly a must have guide for every Data Science professional and deep learning enthusiast, the Wiley Deep Learning with Keras and TensorFlow brings together industry best practices, detailed code descriptions with simplified explanations and solved real life problems, to help any beginner to learn and master the techniques of Deep learning and coding in Keras and TensorFlow. TensorFlow has been chosen to help developers implement models in production environments and Keras for quickly prototyping new ideas in research scenarios. The book also includes best practices to improve the effectiveness in terms of tuning the models, handling memory constraints and usage of logs to save intermediate outputs. Finally, it concludes with the introduction to deep reinforcement learning for solving advanced problems in the field of AI and Artificial General Intelligence.

Название: Introduction to Data Science Practical Approach with R and Python
Автор: B. Uma Maheswari, R. Sujatha
Издательство: Wiley
Год: 2021
Страниц: 772
Язык: английский
Формат: epub
Размер: 11.3 MB

Introduction to Data Science: Practical Approach with R and Python covers all the fundamental concepts of Data Science in a concise manner. It offers a mix of insights and golden rules which would be needed in analyzing data. This book serves as a practical guide for Science/Engineering/MBA students – both at the undergraduate and postgraduate level interested in Data Science domain. As this domain evolves, the demand for data scientists and analysts is growing exponentially across the world. Educational institutions are integrating Data Science in their curriculum and aligning their programs to keep pace with the market requirements. This book is written to cater to the growing needs of the industry and academia. This book deals with the concepts of Data Science through the two most common open-source platforms applicable in the industry — R and Python. This book presents coding in a highly simplified manner, with step-by-step, clear instructions enhanced by visual aids of the output, making coding appear not so technical.

Название: Python for Data Science
Автор: Mohd. Abdul Hameed
Издательство: Wiley
Год: 2021
Страниц: 356
Язык: английский
Формат: epub
Размер: 10.1 MB

Python for Data Science contains the basic and advanced concepts to understand Python language. Besides, it furnishes the detailed procedure on how to implement a Data Science project. This book is intended to develop in readers the skills to independently work on their Data Science projects. In addition to UG, PG, and PhD students, this book would be a ready reckoner to IT professionals. Data Science is an emerging field, and its concepts can be applied to data from any domain. It is for this reason that many computer science professionals are desirous of shifting to the domain of Data Science. The contents of this book will aid aspirants to upgrade their knowledge of the programming language Python and help them switch to the field of Data Science.

Название: Concepts and Techniques of Programming in C
Автор: Dhabal Prasad Sethi, Manoranjan Pradhan
Издательство: I.K. International Pvt. Ltd./Dreamtech Press
Год: 2020
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The C programming language is one of the most widely offered courses in the undergraduate programmes (all branches of BTech, BSc Computer Science, and BCA) as well as various postgraduate programmes (MCA, MSc Computer Science and others). Apart from students, the book will also be useful for aspirants of various competitive examinations and budding programmers. The book is straightforward and simple in its approach, deals with fundamentals of computer, algorithms and flowcharts, error handling, different data types, variables, operators, input/output operations, decision statements, looping, unconditional statements, functions, arrays, strings, pointers, dynamic memory management, structure and union, file and file handling, and preprocessor directives.