Bibliografi, indeks
This book focuses on how to design, conduct, and publish research in the field of engineering, covering research methodology, data analysis, technical writing, and dissemination. Index : page 383-392.
The book contains OOP Concepts: Data abstraction, encapsulation, inheritance, Benefits of Inheritance, Polymorphism, classes and objects, Procedural and object oriented programming paradigms.
This book provides globally recognized standards, frameworks, processes, and best practices essential for effective project management across industries, covering areas such as scope, time, cost, risk, quality, and stakeholder management. Glossary : page 235-253. Index : page 255-274.
This edition has been updated to reflect the current challenges of the industry, with expanded coverage on ethics and sustainability. Index : page 366-371.
This book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Index : page 811-834.
This book tells a practical guide to using Python for data science and analysis. Index : page 551-563.
This book is designed for an introductory course on formal languages, automata, computability, and related matters. Bibliography : page 573-574. Index : page 575-584.