The Spectrum of Computer Science by Tanvir Habib Sardar (.ePUB)+
File Size: 35.3 MB
The Spectrum of Computer Science: Emerging Technologies and Trends by Tanvir Habib Sardar
Requirements: .ePUB, .PDF reader, 35.3 MB | True PDF, True EPUB
Overview: This book explores the foundational principles and emerging advancements shaping modern computing, bridging theory and practice across technologies, transforming today’s world. It begins with an introduction to modern Computer Science before covering key topics such as Generative AI, creative content generation, quantum computing, data analytics, and Machine Learning. Ethical aspects of AI are highlighted to encourage responsible innovation. Chapters on Big Data and Data Science show how large datasets drive insights. The book also examines blockchain, edge computing, and IoT, with applications in finance, health care, and logistics. Additional sections include robotics, cybersecurity, human–computer interaction, and cloud computing, emphasizing their roles in building secure, connected systems. Blending core and emerging concepts of Computer Science with case studies, the book equips students, researchers, professionals, and enthusiasts to navigate an evolving technological landscape. Data analytics and Machine Learning can be implemented by many programming languages. However, the Python programming language has to have a special mention in this context. The Python programming language consists of packages, such as Pandas, Scikit-learn, and NumPy, which are very suitable for developing machine learning algorithms and applications. Similarly, TensorFlow and PyTorch are useful for deep learning-based application development. R Studio is a tool specially designed for statistical analysis and visualisation, and is widely used by machine learning developers. SQL can also be used for querying from the machine learning-based analysis of structured datasets.
Genre: Non-Fiction > Tech & Devices
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