
Mastering AI Development
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Narrado por:
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Virtual Voice
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De:
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Ajit Singh

Este título utiliza narración de voz virtual
Voz Virtual es una narración generada por computadora para audiolibros..
Key Features of This Book:
1. Beginner to Advanced Trajectory: The book starts with the absolute basics of AI and Python, progressively moving to advanced topics like Generative AI, MLOps, and ethical considerations, making it suitable for students at all levels.
2. Hands-on Practical Approach: Every theoretical concept is paired with fully explained code snippets, practical exercises, and real-world examples to solidify your understanding.
3. Real-World Case Studies: Each major topic includes a case study (e.g., Sentiment Analysis for E-commerce, Medical Image Diagnosis) that demonstrates how AI is applied to solve tangible business and societal problems.
4. Focus on Latest Topics: Includes dedicated chapters on the most relevant and cutting-edge fields, such as Natural Language Processing (NLP), Computer Vision, Generative AI (including LLMs), and MLOps.
5. Complete Capstone Project: A final, all-encompassing project in Chapter 10 guides you through building a complete multi-modal AI system from concept to code, preparing you for real-world development challenges.
6. Simple and Lucid Language: Complex mathematical and technical concepts are broken down into simple, easy-to-understand language, supplemented with diagrams and illustrations.
7. Globally Relevant: While rooted in the Indian academic context, the content and technologies covered are universally applicable, preparing you for a global career in AI.
8. NEP 2020 and AICTE Compliant: Structured to promote skill-based, practical, and simplest problem-solving-oriented learning as envisioned by modern educational frameworks.
Whether you are a beginner taking your first steps into the world of programming or an advanced learner looking to master the latest techniques in deep learning and generative AI, this book is your trusted companion. We move logically from the fundamental "what" and "why" of AI to the intricate "how" of building, training, and deploying complex models. Each chapter is a self-contained module that builds upon the last, ensuring a smooth and intuitive learning curve.
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