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Learning Artificial Intelligence with Hands-On Projects: A Practical Guide for Programmers
Learn Artificial Intelligence with Hands-On Projects — A Practical Guide for Programmers
Are you a developer or aspiring coder looking to break into the world of Artificial Intelligence and Machine Learning?
Learning AI for Programmers is your complete, beginner-friendly guide to understanding and building real-world AI applications using Python, neural networks, and popular AI frameworks.
Inside this book, you'll discover how
Grasp the key concepts of AI and Machine Learning
Choose the best programming languages and tools for AI development
Build your first AI model step-by-step
Work with deep learning and understand how neural networks function
Use industry-standard tools like TensorFlow, PyTorch, and scikit-learn
Clean, preprocess, and structure real-world data for training AI systems
Evaluate your models using performance metrics
Explore the role of ethics in artificial intelligence
Stay ahead with insights on future AI trends and technologies
Whether you're a software engineer, data science student, or self-taught programmer, this book provides a solid foundation in AI development — no PhD required.
If you've been searching for a hands-on, easy-to-follow, and modern guide to AI programming, your journey starts here.
Are you a developer or aspiring coder looking to break into the world of Artificial Intelligence and Machine Learning?
Learning AI for Programmers is your complete, beginner-friendly guide to understanding and building real-world AI applications using Python, neural networks, and popular AI frameworks.
Inside this book, you'll discover how
Grasp the key concepts of AI and Machine Learning
Choose the best programming languages and tools for AI development
Build your first AI model step-by-step
Work with deep learning and understand how neural networks function
Use industry-standard tools like TensorFlow, PyTorch, and scikit-learn
Clean, preprocess, and structure real-world data for training AI systems
Evaluate your models using performance metrics
Explore the role of ethics in artificial intelligence
Stay ahead with insights on future AI trends and technologies
Whether you're a software engineer, data science student, or self-taught programmer, this book provides a solid foundation in AI development — no PhD required.
If you've been searching for a hands-on, easy-to-follow, and modern guide to AI programming, your journey starts here.
176 pages, Kindle Edition
Published April 21, 2025
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