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    AI-Assisted Software Development with GitHub Copilot and ChatGPT. A guide to optimizing developer productivity in machine learning, data science, and app and low code development

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    AI-Assisted Software Development with GitHub Copilot and ChatGPT. A guide to optimizing developer productivity in machine learning, data science, and app and low code development Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, Ajit Jaokar - okładka ebooka

    AI-Assisted Software Development with GitHub Copilot and ChatGPT. A guide to optimizing developer productivity in machine learning, data science, and app and low code development Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, Ajit Jaokar - okładka ebooka

    AI-Assisted Software Development with GitHub Copilot and ChatGPT. A guide to optimizing developer productivity in machine learning, data science, and app and low code development Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, Ajit Jaokar - okładka audiobooka MP3

    AI-Assisted Software Development with GitHub Copilot and ChatGPT. A guide to optimizing developer productivity in machine learning, data science, and app and low code development Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, Ajit Jaokar - okładka audiobooks CD

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    Bądź pierwszym, który oceni tę książkę
    Stron:
    31
    With Copilot and ChatGPT as your AI assistants, this guide will teach you how to generate high-quality code, automate repetitive tasks, and streamline your development process.

    First, you'll explore using a problem formulation approach for your prompts, discovering how to reduce development time and improve your code quality. Beyond the basics, you will apply strategies for effective prompting and explore real-world prompting patterns across various programming domains.

    Next, you will discover GitHub Copilot best practices for code generation, documentation, testing, optimization, and refactoring.

    As you progress, you'll explore the intersection of machine learning and AI-assisted coding, delving into machine learning concepts, data preprocessing, supervised and unsupervised learning, and model evaluation.

    The book also covers web development with GitHub Copilot and ChatGPT, guiding you through the process of building a frontend using HTML, CSS, and JavaScript, and developing a backend with APIs.

    You’ll also explore ethical considerations, fairness and bias mitigation, transparency and interpretability, and privacy and data protection to ensure responsible and impactful AI-assisted development.

    Whether you're a seasoned developer or just starting, this guide equips you with the skills to excel in your projects.

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    O autorach ebooka

    Christoffer Noring is a software developer with more than 10 years of experience. He has successfully delivered software for different industries, ranging from telecom to aviation. Throughout his career, he has worked on everything, right from databases to frontends. He is very passionate about community and sharing knowledge, which is why he frequently speaks on topics ranging from TDD, React, and NativeScript to Angular. He also writes books and blogs frequently.

    He holds the title of Google Developer Expert in web technologies and AngularJS/Angular. He is also a Telerik Developer Expert in the mobile framework NativeScript. Christoffer currently works for McKinsey as a fullstack developer. He is the author and maintainer of the book RxJS Ultimate, which aims to be a free resource to help the community.
    Anjali Jain is a London-based AI and ML professional with a career spanning over two decades. Currently working as a data architect for Metrobank, she brings her expertise in AI, data, architecture, data governance, and software development to the financial sector. Anjali holds a bachelor’s degree in electrical engineering and boasts certifications, including TOGAF 9.1 and ITIL 2011 Foundation. In her role as Senior AI and ML tutor at Oxford, she shares cutting-edge knowledge on various technologies.
    Marina Fernandez is a data science and Databricks consultant with expertise in financial risk management. She contributes to the academic team at the University of Oxford, where she holds the positions of senior AI and ML tutor and guest lecturer.
    Ajit Jaokar is a data scientist for Feynlabs, building AI prototypes for complex applications. He is also a course director for artificial intelligence at the University of Oxford. Besides this, Ajit is a visiting fellow in Engineering Sciences at the University of Oxford and conducts AI courses at the London School of Economics, Universidad Politécnica de Madrid, and the Harvard Kennedy School of Government as part of The Future Society.
    His work at Oxford and his company is based on interdisciplinary aspects of artificial intelligence, including AI with digital twins, quantum computing, metaverse, Agtech, and life sciences. His teaching is based on a methodology for AI and cyber-physical systems, which he is developing as part of his research.

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