• First book in the market covering Machine Learning concepts with practical implementation in oneAPI • oneAPI and the related toolkits are completely covered. • The ToC is fully comprehensive. • The AI analytics toolkit and the explanation is very novel and first of its kind. • The support materials and codes are to be made available in the GIT. • The video materials are also to be made available in the YouTube.

Unique selling point: * This book teaches readers how to build IoT products through practical projects, ranging from beginners to advanced level, so that they can build knowledge through hands-on tasks rather than theoretical knowledge. Core audience: * IoT enthusiasts, students and tutors Place in the market: * This is a new approach and distinctly different from all of the books which focus only on theory.

• First book in the market covering Machine Learning concepts with practical implementation in oneAPI • oneAPI and the related toolkits are completely covered. • The ToC is fully comprehensive. • The AI analytics toolkit and the explanation is very novel and first of its kind. • The support materials and codes are to be made available in the GIT. • The video materials are also to be made available in the YouTube.

The book augurs to be a mix of theoretical and practical perceptions of the related concepts pertaining to image processing. The primary objectives orient to offer an overview to the elementary concepts and practices appropriate to DIP 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: Applications and tools for image processing, fundamentals with several implementation examples Concepts of image formation, OpenCV installation with step-by-step screen shots Concepts behind intensity, brightness and contrast, color models Ways by which noises are created in an image and the possible remedial measures Edge detection, Image segmentation, classification, regression, Classification algorithms Importance of frequency domain in image processing field Relevant code snippets and the MATLAB codes, several interesting set of simple programs in OpenCV and Python to aid learning and for complete understanding The video lectures for specific topics through YouTube by the authors 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 quiz, review questions etc., fully prepares 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 as an able ally.

Unique selling point: * This book teaches readers how to build IoT products through practical projects, ranging from beginners to advanced level, so that they can build knowledge through hands-on tasks rather than theoretical knowledge. Core audience: * IoT enthusiasts, students and tutors Place in the market: * This is a new approach and distinctly different from all of the books which focus only on theory.