AI Engineering Audiolibro Por Ajit Singh arte de portada

AI Engineering

 Muestra de Voz Virtual

$0.00 por los primeros 30 días

Prueba por $0.00
Escucha audiolibros, podcasts y Audible Originals con Audible Plus por un precio mensual bajo.
Escucha en cualquier momento y en cualquier lugar en tus dispositivos con la aplicación gratuita Audible.
Los suscriptores por primera vez de Audible Plus obtienen su primer mes gratis. Cancela la suscripción en cualquier momento.

AI Engineering

De: Ajit Singh
Narrado por: Virtual Voice
Prueba por $0.00

Escucha con la prueba gratis de Plus

Compra ahora por $6.90

Compra ahora por $6.90

Confirma la compra
la tarjeta con terminación
Cambiar método de pago
Al confirmar tu compra, aceptas las Condiciones de Uso de Audible y el Aviso de Privacidad de Amazon. Impuestos a cobrar según aplique.
Cancelar
Background images

Este título utiliza narración de voz virtual

Voz Virtual es una narración generada por computadora para audiolibros..

Acerca de esta escucha

 "AI Engineering" is a comprehensive, practical, and modern textbook designed for undergraduate (B.Tech) and postgraduate (M.Tech) students of computer science, information technology, and related engineering disciplines. In an era where Artificial Intelligence is reshaping industries, this book aims to equip students with the end-to-end skills required to not just understand AI, but to build, deploy, and manage real-world AI systems.

Key Features of the Book:

1. Practical-First Approach: Saturated with the simplest and easiest practical examples, code walkthroughs, and real-world datasets to bridge the gap between theory and application.
2. End-to-End AI Engineering Lifecycle: The only textbook at this level to dedicate chapters to the crucial areas of MLOps (Model Lifecycle Management) and Responsible AI (Explainability, Fairness, Bias).
3. Simplified Mathematics: Complex mathematical derivations are replaced with intuitive explanations, focusing on how to use mathematical tools to solve problems.
4. Integrated Capstone Project: A full chapter dedicated to a real-world project—Customer Churn Prediction—from data gathering and cleaning to building, explaining, and deploying a model as a web app.
5. Cutting-Edge Content: Includes up-to-date and relevant topics like Transformers, Generative AI (GANs, LLMs), and Explainable AI (LIME, SHAP), which are essential for today's job market.
6. Global and Indian Context: While meeting international standards, the examples and case studies are chosen to be relatable to students everywhere, including the Indian context.


My core philosophy is "Simplicity in Theory, Rigor in Practice." Complex mathematical concepts are demystified and presented with an intuitive, application-oriented approach. Every theoretical concept is immediately followed by a simple, easy-to-understand practical example using popular Python libraries. This ensures that students can solidify their understanding by implementing the concepts themselves.
Todavía no hay opiniones