ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SOFTWARE DEVELOPMENT: Integrating AI and machine learning algorithms into software applications for automation and intelligence - Tapa blanda

Sinopsis

Supercharge Your Software with Intelligence.

Artificial Intelligence (AI) and Machine Learning (ML) are transforming how modern software is built, deployed, and scaled. This book is a comprehensive, developer-friendly guide to embedding AI and ML into real-world software applications — from automating workflows to powering recommendation engines and intelligent user interfaces.

Whether you're a developer, engineer, or tech innovator, this book gives you the blueprint for turning your applications into smart, adaptive systems using powerful AI technologies.

✅ Fundamentals of AI and ML in software architecture
✅ Key ML models and algorithms used in real software systems
✅ Integrating Python ML libraries (scikit-learn, TensorFlow, PyTorch)
✅ Creating intelligent features like chatbots, recommendations, and image recognition
✅ How to embed ML APIs into web, desktop, and mobile applications
✅ Training, evaluating, and deploying models in production
✅ Real-world use cases: finance, health, e-commerce, and SaaS
✅ Automating decision-making in software with AI logic
✅ Managing performance, bias, and ethical considerations
✅ Tools for model versioning, monitoring, and MLOps

• Software developers and engineers

• ML practitioners and data scientists

• Product managers integrating AI

• Computer science students and professionals

• Anyone interested in future-ready software design

Build software that learns. Deploy systems that think.

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