AI-Assisted Programming for Web and Machine Learning: Improve your development workflow with ChatGPT and GitHub Copilot
Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT.
AI-Assisted Programming for Web and Machine Learning: Improve your development workflow with ChatGPT and GitHub Copilot
منتج #: 119117364

AI-Assisted Programming for Web and Machine Learning: Improve your development workflow with ChatGPT and GitHub Copilot

منتج #: 119117364

IQD 89503

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باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )

*سيتم استيراد جميع العناصر من المملكة المتحدة

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Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT.
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AI Integration
Combines ChatGPT and GitHub Copilot to enhance coding efficiency, enabling developers to leverage advanced AI capabilities tailored for web and machine learning projects.
Development Workflow
Streamlines the development process, reducing time spent on coding tasks, thus allowing developers to focus on creativity and innovation in their projects.
Targeted Learning
Offers practical insights and strategies specifically designed for web and machine learning programming, ensuring relevant knowledge that addresses current industry challenges.

تفاصيل المنتج

Shop AI-Assisted Programming for Web and Machine Learning: Improve your development workflow with ChatGPT and GitHub Copilot online at a best price in العراق. 1835086055
  • Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) modelsPurchase of the print or Kindle book includes a free PDF copyKey FeaturesUtilize prompts to enhance frontend and backend web developmentDevelop prompt strategies to build robust machine learning modelsUse GitHub Copilot for data exploration, maintaining existing code bases, and augmenting ML models into web applicationsBook DescriptionAI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks.Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code.Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases. The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.What you will learnSpeed up your coding and machine learning workflows with GitHub Copilot and ChatGPTUse an AI-assisted approach across the development lifecycle Implement prompt engineering techniques in the data science lifecycleDevelop the frontend and backend of a web application with AI assistance Build machine learning models with GitHub Copilot and ChatGPT Refactor code and fix faults for better efficiency and readability Improve your codebase with rich documentation and enhanced workflows Who this book is forExperienced developers new to GitHub Copilot and ChatGPT can discover the best strategies to improve productivity and deliver projects quicker than traditional methods. This book is ideal for software engineers working on web or machine learning projects. It is also a useful resource for web developers, data scientists, and analysts who want to improve their efficiency with the help of prompting. This book does not teach web development or how different machine learning models work.Table of ContentsIt's a New World, One With AI Assistants, and You're InvitedPrompt StrategyTools of the Trade: Introducing Our AI AssistantsBuild the Appearance of Our App with HTML and CopilotStyle the App with CSS and CopilotAdd Behavior with JavaScriptSupport Multiple Viewports Using Responsive Web LayoutsBuild a Backend with Web APIsAugment Web Apps with AI ServicesMaintaining Existing CodebasesData Exploration with ChatGPTBuilding a Classification Model with ChatGPTBuilding a Regression Model for Customer Spend with ChatGPTBuilding an MLP Model for Fashion-MNIST with ChatGPTBuilding a CNN Model for CIFAR-10 with ChatGPTUnsupervised Learning: Clustering and PCA(N.B. Please use the Read Sample option to see further chapters)
Publisher Packt Publishing
Publication date 30 Aug. 2024
Language English
Print length 602 pages
ISBN-10 1835086055
ISBN-13 978-1835086056
Item weight 1.02 kg
Dimensions 19.05 x 3.45 x 23.5 cm

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Suitable For
  • Beginner Developers

    Ideal for new programmers looking to enhance their skills with hands-on experience and AI-assisted coding tools.

  • Web Developers

    Perfect for web developers aiming to streamline their workflow using ChatGPT and GitHub Copilot for efficient coding.

  • Machine Learning Enthusiasts

    Great for ML practitioners wanting to integrate AI tools into their development process for improved productivity.

Not Suitable For
  • Experienced Programmers

    Veteran developers may find the content too basic and not sufficiently advanced for their expertise level.

وصف المنتج

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أسئلة العملاء & الإجابات

  • سؤال: What programming skills are needed for this book?

    إجابه: The book is designed for experienced developers familiar with web and machine learning concepts.
  • سؤال: Does this book teach basic programming concepts?

    إجابه: No, the book assumes prior knowledge of programming and focuses on using AI tools for efficiency.
  • سؤال: Will I receive updates on AI tools after purchasing the book?

    إجابه: The book provides the latest techniques as of its publication and doesn't include future updates.

Applications Editorial Review

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إيجابيات

  • Boosts coding productivity
  • Enhances learning experience
  • Integrates well with tools
  • User-friendly interface
  • Great for beginners and pros

سلبيات

  • Some features may require internet access.

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