Shriram K. Vasudevan – författare

This book intends to develop cyber awareness and technical knowledge in anyone who is interested in technology by looking at subjects and experiences the average person will have come into contact with in their life. This book aims to provide a complete and comprehensive analysis, technological inputs and case studies for the readers to build their awareness and knowledge, but in a meaningful way which will stay relevant. There are books available on the market, but they primarily discuss theory, and no industry connection or current state-of-the-art technology is presented. By discussing subjects and experiences that all readers will be familiar with, this book will aid understanding and comprehension of how cyber threats can be noticed, avoided and understood in everyday life. As well as case studies, this book also contains plentiful illustrations and supplementary videos, which will be available via YouTube to complement the information.

Giri Govindarajulu is a Chief Information Security officer for Cisco Asiapac and is a 20-year Cisco veteran.

Shyam Sundar Ramaswami is the Lead Threat Researcher with the Cisco Talos Threat Intelligence group. Shyam is a two-time TEDx speaker and a teacher of cybersecurity.

Dr. Shriram K. Vasudevan is currently working as Dean of K. Ramakrishnan College of Technology. He has authored/co-authored 42 books for reputed publishers across the globe and 122 research papers in revered international journals, plus 30 papers for international/national conferences.

This book intends to develop cyber awareness and technical knowledge in anyone who is interested in technology by looking at subjects and experiences the average person will have come into contact with in their life. This book aims to provide a complete and comprehensive analysis, technological inputs and case studies for the readers to build their awareness and knowledge, but in a meaningful way which will stay relevant. There are books available on the market, but they primarily discuss theory, and no industry connection or current state-of-the-art technology is presented. By discussing subjects and experiences that all readers will be familiar with, this book will aid understanding and comprehension of how cyber threats can be noticed, avoided and understood in everyday life. As well as case studies, this book also contains plentiful illustrations and supplementary videos, which will be available via YouTube to complement the information.

Giri Govindarajulu is a Chief Information Security officer for Cisco Asiapac and is a 20-year Cisco veteran.

Shyam Sundar Ramaswami is the Lead Threat Researcher with the Cisco Talos Threat Intelligence group. Shyam is a two-time TEDx speaker and a teacher of cybersecurity.

Dr. Shriram K. Vasudevan is currently working as Dean of K. Ramakrishnan College of Technology. He has authored/co-authored 42 books for reputed publishers across the globe and 122 research papers in revered international journals, plus 30 papers for international/national conferences.

Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts. DL and ML are the most sought-after domains, requiring a deep understanding – and this book gives no less than that. This book enables the reader to build innovative and useful applications based on ML and DL. Starting with the basics of neural networks, and continuing through the architecture of various types of CNNs, RNNs, LSTM, and more till the end of the book, each and every topic is given the utmost care and shaped professionally and comprehensively.

Key Features

AI is a domain for everyone. This book is targeted toward everyone irrespective of their field of specialization. Graduates and researchers in deep learning will find this book useful.

Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts. DL and ML are the most sought-after domains, requiring a deep understanding – and this book gives no less than that. This book enables the reader to build innovative and useful applications based on ML and DL. Starting with the basics of neural networks, and continuing through the architecture of various types of CNNs, RNNs, LSTM, and more till the end of the book, each and every topic is given the utmost care and shaped professionally and comprehensively.

Key Features

AI is a domain for everyone. This book is targeted toward everyone irrespective of their field of specialization. Graduates and researchers in deep learning will find this book useful.

Internet of Things (IoT) stands acclaimed as a widespread area of research and has definitely enticed the interests of almost the entire globe. IoT appears to be the present as well as the future technology. This book attempts to inspire readers to explore and become accustomed to IoT. Presented in a lucid and eloquent way, this book adopts a clear and crisp approach to impart the basics as expeditiously as possible. It kicks off with the very fundamentals and then seamlessly advances in such a way that the step-by-step unique approach, connection layout, and the verified codes provided for every project can enhance the intuitive learning process and will get you onboard to the world of product building. We can assure that you will be definitely raring to start developing your own IoT solutions and to get yourself completely lost in the charm of IoT.

Let’s start connecting the unconnected! It’s time to get IoT-fied.

Internet of Things (IoT) stands acclaimed as a widespread area of research and has definitely enticed the interests of almost the entire globe. IoT appears to be the present as well as the future technology. This book attempts to inspire readers to explore and become accustomed to IoT. Presented in a lucid and eloquent way, this book adopts a clear and crisp approach to impart the basics as expeditiously as possible. It kicks off with the very fundamentals and then seamlessly advances in such a way that the step-by-step unique approach, connection layout, and the verified codes provided for every project can enhance the intuitive learning process and will get you onboard to the world of product building. We can assure that you will be definitely raring to start developing your own IoT solutions and to get yourself completely lost in the charm of IoT.

Let’s start connecting the unconnected! It’s time to get IoT-fied.

The book provides a mix of theoretical and practical perceptions of the related concepts pertaining to image processing. The primary objectives are to offer an overview to the elementary concepts and practices appropriate to digital image processing as well as to provide theoretical exposition. It starts with an expanded coverage of the fundamentals to provide a more comprehensive and cohesive coverage of the topics including but not limited to:

The video lectures for specific topics through YouTube enable easy inference for the readers to apply the learnt theory into practice. The addition of contents at the end of each chapter such as quizzes and review questions fully prepare the readers for further study.

Graduate students, post graduate students, researchers, and anyone in general interested in image processing, computer vision, machine learning domains etc. can find this book an excellent starting point for information and an able ally.

The book provides a mix of theoretical and practical perceptions of the related concepts pertaining to image processing. The primary objectives are to offer an overview to the elementary concepts and practices appropriate to digital image processing as well as to provide theoretical exposition. It starts with an expanded coverage of the fundamentals to provide a more comprehensive and cohesive coverage of the topics including but not limited to:

The video lectures for specific topics through YouTube enable easy inference for the readers to apply the learnt theory into practice. The addition of contents at the end of each chapter such as quizzes and review questions fully prepare the readers for further study.

Graduate students, post graduate students, researchers, and anyone in general interested in image processing, computer vision, machine learning domains etc. can find this book an excellent starting point for information and an able ally.

Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions and continually enhance performance. It enables computers to learn from data and experiences, making decisions without explicit programming. For learners, mastering the fundamentals of machine learning opens doors to a world of possibilities to build robust and accurate models. In the ever-evolving landscape of machine learning, datasets play a pivotal role in shaping its future. The field has been revolutionized with the introduction of oneAPI, which provides a unified programming model across different architectures, including CPUs, GPUs, FPGAs and accelerators, fostering an efficient and portable programming environment. Embracing this unified model empowers practitioners to build efficient and scalable machine learning solutions, marking a significant stride in cross-architecture development. Dive into this fascinating field to master machine learning concepts with the step-by-step approach outlined in this book and contribute to its exciting future.

Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions and continually enhance performance. It enables computers to learn from data and experiences, making decisions without explicit programming. For learners, mastering the fundamentals of machine learning opens doors to a world of possibilities to build robust and accurate models. In the ever-evolving landscape of machine learning, datasets play a pivotal role in shaping its future. The field has been revolutionized with the introduction of oneAPI, which provides a unified programming model across different architectures, including CPUs, GPUs, FPGAs and accelerators, fostering an efficient and portable programming environment. Embracing this unified model empowers practitioners to build efficient and scalable machine learning solutions, marking a significant stride in cross-architecture development. Dive into this fascinating field to master machine learning concepts with the step-by-step approach outlined in this book and contribute to its exciting future.

Python’s simplicity and versatility make it an ideal language for both beginners and experienced programmers. Its syntax facilitates a smooth learning curve, enabling individuals to concentrate on grasping programming concepts instead of wrestling with intricate syntax rules. The extensive standard library reinforces its practicality, offering pre-built modules and functions that reduce manual coding efforts. Python’s versatility is evident in its applications, spanning web development, data analysis, Machine Learning and automation.

The language’s interactive nature supports real-time code experimentation, stepping up the learning process and enhancing understanding. Python’s wealth of online resources further enriches the learning experience, fostering a community where individuals can develop their programming skills.

Python: A Practical Learning Approach exemplifies Python’s simplicity and versatility with numerous examples, ensuring a seamless learning journey. Beyond theory, the language’s practicality allows learners to actively apply their knowledge in real-world scenarios, establishing Python as an asset in education.

Python’s simplicity and versatility make it an ideal language for both beginners and experienced programmers. Its syntax facilitates a smooth learning curve, enabling individuals to concentrate on grasping programming concepts instead of wrestling with intricate syntax rules. The extensive standard library reinforces its practicality, offering pre-built modules and functions that reduce manual coding efforts. Python’s versatility is evident in its applications, spanning web development, data analysis, Machine Learning and automation.

The language’s interactive nature supports real-time code experimentation, stepping up the learning process and enhancing understanding. Python’s wealth of online resources further enriches the learning experience, fostering a community where individuals can develop their programming skills.

Python: A Practical Learning Approach exemplifies Python’s simplicity and versatility with numerous examples, ensuring a seamless learning journey. Beyond theory, the language’s practicality allows learners to actively apply their knowledge in real-world scenarios, establishing Python as an asset in education.