Description
Artificial Intelligence and Machine Learning for Real-World Applications: A Beginner’s Guide
Architect the practical intelligence of the next era and master the high-performance protocols of modern problem-solving. Artificial Intelligence and Machine Learning for Real-World Applications provides a definitive, case-study-first roadmap to the most significant shift in digital utility since the invention of the internet. Learn how to move beyond theoretical models to high-velocity, functional implementations—bridging the gap between a basic algorithm and a sophisticated, real-world system—ensuring your technical projects are resilient, scalable, and ready for the 2026 application landscape.
Note: This is a digital product. A secure download link will be sent to your email address immediately after payment.
What You Will Learn:
Foundations of Practical AI: Master the core principles of supervised, unsupervised, and reinforcement learning tailored for tangible, everyday problems.
Modern Real-World Case Studies: Step-by-step guidance on utilizing AI in sectors like retail, smart cities, and environmental monitoring with professional-grade precision.
Streamlined Data Engineering: Discover how to utilize efficient data cleaning and feature selection to maintain the structural integrity of your learning models.
Strategic Security & Ethical Deployment: Learn advanced techniques for maintaining information security within user-facing applications, ensuring data privacy and algorithmic fairness in production.
Who This Book is For: This professional-grade guide is essential for Junior Developers, Data Analysts, and Undergraduate Students. It is an invaluable resource for any technical lead—including those building real-time alerting and monitoring features for graduation projects like Smart Guard—aiming to master the technical agility and structural precision required for modern, AI-enhanced software delivery.
Product Details:
Format: Digital PDF Download
Authors: Latesh Malik; Sandhya Arora; Urmila Shrawankar
Publisher: CRC Press (Taylor & Francis)
ISBN-13: 9781032873459
ISBN-10: 1032873450
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