PirateBay Download | kurni m ai assisted programming web machine learning 2026

kurni m ai assisted programming web machine learning 2026

Type:: E-books
Files:: 2
Size:: 7.9 MB
Uploaded On:: Oct. 17, 2025, 6:38 a.m.
Added By:: andryold1
Seeders:: 2
Leechers:: 8
Info Hash:: CA11F8517A52633BA88F809ADA78FAD1A6947E07

Textbook in PDF format 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. AI-assisted Programming for Web and Machine Learning is your complete, hands-on guide to integrating AI into your daily coding practice. We will start with the foundations — understanding AI’s role in programming, setting up an AI-ready environment, and mastering the art of prompt engineering. Then we will move into practical applications: using AI to accelerate front end and back end development, enhance debugging and optimization, and streamline machine learning pipelines from preprocessing to deployment. You will also find real-world case studies, best practices, and ethical considerations to keep your work responsible and future-ready. Whether you are a student exploring AI-assisted coding for the first time, a developer looking to shorten delivery timelines, or a machine learning practitioner aiming to automate complex workflows, this book will give you both the skills and the confidence to work with AI, not as a gimmick, but as an essential part of your toolkit. Preface AI in Programming Setting up Your AI Environment Prompt Engineering AI in Front end Development AI for Back end Development Debugging and Optimization with AI Data Preprocessing with AI Building and Training Machine Learning Models Deploying Optimized ML Models Real-world Applications Future Innovations and Ethics in AI

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kurni m ai assisted programming web machine learning 2026

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