Worth: $60.99
(as of Oct 23, 2025 17:54:59 UTC – Particulars)
Velocity up your growth processes and enhance your productiveness by writing sensible and related prompts to construct net functions and Machine Studying (ML) fashions
Buy of the print or Kindle guide features a free PDF copy
Key Options:
– Make the most of prompts to reinforce frontend and backend net growth
– Develop immediate methods to construct sturdy machine studying fashions
– Use GitHub Copilot for knowledge exploration, sustaining present code bases, and augmenting ML fashions into net functions
E book Description:
AI-Assisted Programming for Internet and Machine Studying exhibits you learn how to construct functions and machine studying fashions and automate repetitive duties.
Half 1 focuses on coding, from constructing a consumer interface to the backend. You may use prompts to create the looks of an app utilizing HTML, styling with CSS, including conduct with JavaScript, and dealing with a number of viewports. Subsequent, you will construct an online API with Python and Flask and refactor the code to enhance code readability. Half 1 ends with utilizing GitHub Copilot to enhance the maintainability and efficiency of present code.
Half 2 offers a prompting toolkit for knowledge science from knowledge checking (inspecting knowledge and creating distribution graphs and correlation matrices) to constructing and optimizing a neural community. You may use totally different immediate methods for knowledge preprocessing, characteristic engineering, mannequin choice, coaching, hyperparameter optimization, and mannequin analysis for numerous machine studying fashions and use circumstances.
The guide closes with chapters on superior methods on GitHub Copilot and software program brokers. There are tips about code era, debugging, and troubleshooting code. You may see how less complicated and AI-powered brokers work and uncover instrument calling.
What You Will Study:
– Velocity up your coding and machine studying workflows with GitHub Copilot and ChatGPT
– Use an AI-assisted method throughout the event lifecycle
– Implement immediate engineering methods within the knowledge science lifecycle
– Develop the frontend and backend of an online utility with AI help
– Construct machine studying fashions with GitHub Copilot and ChatGPT
– Refactor code and repair faults for higher effectivity and readability
– Enhance your codebase with wealthy documentation and enhanced workflows
Who this guide is for:
Skilled builders new to GitHub Copilot and ChatGPT can uncover the very best methods to enhance productiveness and ship tasks faster than conventional strategies. This guide is good for software program engineers engaged on net or machine studying tasks. Additionally it is a helpful useful resource for net builders, knowledge scientists, and analysts who wish to enhance their effectivity with the assistance of prompting. This guide doesn’t educate net growth or how totally different machine studying fashions work.
Desk of Contents
– It is a New World, One With AI Assistants, and You are Invited
– Immediate Technique
– Instruments of the Commerce: Introducing Our AI Assistants
– Construct the Look of Our App with HTML and Copilot
– Fashion the App with CSS and Copilot
– Add Habits with JavaScript
– Help A number of Viewports Utilizing Responsive Internet Layouts
– Construct a Backend with Internet APIs
– Increase Internet Apps with AI Providers
– Sustaining Present Codebases
– Knowledge Exploration with ChatGPT
– Constructing a Classification Mannequin with ChatGPT
– Constructing a Regression Mannequin for Buyer Spend with ChatGPT
– Constructing an MLP Mannequin for Style-MNIST with ChatGPT
– Constructing a CNN Mannequin for CIFAR-10 with ChatGPT
– Unsupervised Studying: Clustering and PCA
– Machine Studying with Copilot
(N.B. Please use the Learn Pattern choice to see additional chapters)
From the Writer
Writer : Packt Publishing
Publication date : Aug. 30 2024
Language : English
Print size : 602 pages
ISBN-10 : 1835086055
ISBN-13 : 978-1835086056
Merchandise weight : 1.02 kg
Dimensions : 19.05 x 3.45 x 23.5 cm
Greatest Sellers Rank: #827,851 in Books (See Prime 100 in Books) #164 in Software program Design Instruments #278 in A.I. Neural Networks #489 in Pc Programming for Novices
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