AI-Assisted Programming for Web and Machine Learning. (Record no. 15184)
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| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250710181506.0 |
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| fixed length control field | 250616s||||||||||||||||o||||||||||| |d |
| 024 80 - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 9781835083895 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | PACKT |
| Transcribing agency | PACKT |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | en |
| 044 ## - COUNTRY OF PUBLISHING/PRODUCING ENTITY CODE | |
| MARC country code | GB |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Christoffer Noring |
| Relator term | author. |
| 245 00 - TITLE STATEMENT | |
| Title | AI-Assisted Programming for Web and Machine Learning. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | GB: |
| Name of publisher, distributor, etc. | Packt, |
| Date of publication, distribution, etc. | 2024-08-30. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2024-08-30 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | GB: |
| Name of producer, publisher, distributor, manufacturer | Packt, |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 602. |
| 377 ## - ASSOCIATED LANGUAGE | |
| Language code | en |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | <p><b>Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) models<br/><br/>Purchase of the print or Kindle book includes a free PDF copy</b></p><h4>Key Features</h4><ul><li>Utilize prompts to enhance frontend and backend web development</li><li>Develop prompt strategies to build robust machine learning models</li><li>Use GitHub Copilot for data exploration, maintaining existing code bases, and augmenting ML models into web applications</li></ul><h4>Book Description</h4>AI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks.<br/><br/>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.<br/> <br/>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.<br/><br/> 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.<h4>What you will learn</h4><ul><li>Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT</li><li>Use an AI-assisted approach across the development lifecycle </li><li>Implement prompt engineering techniques in the data science lifecycle</li><li>Develop the frontend and backend of a web application with AI assistance </li><li>Build machine learning models with GitHub Copilot and ChatGPT </li><li>Refactor code and fix faults for better efficiency and readability </li><li>Improve your codebase with rich documentation and enhanced workflows </li></ul><h4>Who this book is for</h4>Experienced 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. |
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| System details note | Data in extended ASCII character set. |
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| System details note | Mode of access: Internet. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Anjali Jain |
| Relator term | author. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Marina Fernandez |
| Relator term | author. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ayşe Mutlu |
| Relator term | author. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ajit Jaokar |
| Relator term | author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | PACKT |
| 773 0# - HOST ITEM ENTRY | |
| Title | AI-Assisted Programming for Web and Machine Learning |
| Place, publisher, and date of publication | GB,Packt,2024-08-30 |
| Physical description | 602 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://learning.packt.com/product/476200">https://learning.packt.com/product/476200</a> |
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