Ramesh Krishnamaneni (13 results)

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Paperback. Condition: Brand New. 446 pages. 9.25x6.10x9.21 inches. In Stock.

Paperback. Condition: Brand New. 412 pages. 8.50x0.93x11.00 inches. In Stock. This item is printed on demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Quantum computing is rapidly evolving from a theoretical concept into a practical technology, influencing areas such as cybersecurity, optimization, artificial intelligence, and scientific research. As industries explore their potential, there is a growing demand for engineers, developers, and researchers who can understand and apply quantum computing using accessible tools such as Python.This book is written from a combined perspective of teaching, research, and industry experience, ensuring both conceptual clarity and practical relevance. It introduces core concepts such as qubits, quantum states, gates, and circuits, and then progresses to algorithms such as Grover's and Shor's. It also explains quantum hardware, noise, and real-world limitations. You will gain hands-on experience using Qiskit, Cirq, and AWS Braket, along with exposure to advanced topics such as variational algorithms, quantum cryptography, and quantum machine learning, supported by simulation exercises and mini projects.By the end of this book, readers will be able to design and implement quantum programs, work with modern quantum platforms, and apply quantum concepts to real-world problems with confidence.WHAT YOU WILL LEARN¿ Understand qubits, superposition, entanglement, and quantum computing basics.¿ Design quantum circuits using gates, measurements, and circuit models.¿ Implement quantum algorithms like Grover's and Shor's using Python.¿ Work with Qiskit, Cirq, and AWS Braket for real applications.¿ Debug and optimize quantum code using generative LLMs.¿ Train hybrid quantum neural networks with PennyLane PyTorch.WHO THIS BOOK IS FORThis book targets students, academicians, software developers, researchers, data scientists, and engineers with basic Python and introductory mathematics. It helps industry professionals develop practical skills in quantum programming, multi-framework SDK deployment, and real-world quantum computing applications.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence is redefining how software is created, enabling developers to code faster, improve accuracy, and bring innovative ideas to life. In today's competitive technology landscape, AI-assisted programming is no longer optional; it's a core skill for building modern web applications and machine learning solutions.This book systematically guides you through the whole development cycle. You will start with the foundations of understanding AI-assisted programming, setting up your environment, and mastering prompt engineering. You will then discover how AI can accelerate front end and back end web development, enhance debugging, and optimize performance. You will also explore data preprocessing, model creation, training, and deploying optimized solutions with the help of real-world examples, case studies, and hands-on exercises, ensuring you can apply every concept in practice. Also, by mastering prompt engineering, you will be able to generate, debug, and optimize code across both these high-demand fields.By the end of this book, you will have the confidence and skills to integrate AI into your workflow, automate time-consuming tasks, build intelligent applications, and deliver impactful, future-ready solutions.WHAT YOU WILL LEARN¿ Apply prompt engineering effectively for web and ML projects.¿ Develop AI-powered front end and back end applications efficiently.¿ Automate debugging, testing, and performance optimization with AI.¿ Integrate AI tools seamlessly into full-stack development workflows.¿ Train, fine-tune, and deploy scalable ML models in the cloud.¿ Understand AI-assisted programming concepts and set up development tools.¿ Preprocess data and create AI-driven machine learning pipelines.WHO THIS BOOK IS FORThis book is for learners who want to explore the power of AI-assisted programming in web development and machine learning. Software engineers, web developers, and data scientists who possess foundational programming skills, ideally with Python or JavaScript, can also use it to upgrade their skills. …

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