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Introduction to Artificial Intelligence: Learn the Basics of AI: A Step-by-Step Guide to Building Simple AI Models
| AUTHOR | Waldvogel, Nina; Huber, Lars |
| PUBLISHER | Independently Published (08/28/2025) |
| PRODUCT TYPE | Paperback (Paperback) |
Step into the World of Artificial Intelligence - No PhD Required
AI is no longer science fiction. From voice assistants and self-driving cars to healthcare and finance, artificial intelligence is transforming our world. But how does it actually work, and how can you start building your own AI projects-even as a beginner?
Introduction to Artificial Intelligence: Learn the Basics of AI is your step-by-step guide to understanding and applying AI concepts in real life. With hands-on examples, simple explanations, and real projects, this book takes you from curiosity to confidence.
Inside, you'll discover:
?? What AI is and how it impacts everyday life.
?? The differences between AI, Machine Learning, and Deep Learning.
?? How to collect, clean, and analyze data for AI models.
?? Machine learning basics: regression, classification, clustering, and evaluation.
?? Building your first projects in Python, including spam detection, image recognition, and chatbots.
?? An introduction to Neural Networks, NLP, Reinforcement Learning, and Generative AI.
?? Key ethical issues in AI and how to build responsible, fair systems.
?? Career paths, certifications, and portfolio tips to launch into the AI field.
With practical projects in every chapter, you'll not only learn the theory-you'll build working models and applications.
Whether you're a student, hobbyist, or aspiring professional, this beginner-friendly guide gives you the foundation to start your AI journey.
Step into the World of Artificial Intelligence - No PhD Required
AI is no longer science fiction. From voice assistants and self-driving cars to healthcare and finance, artificial intelligence is transforming our world. But how does it actually work, and how can you start building your own AI projects-even as a beginner?
Introduction to Artificial Intelligence: Learn the Basics of AI is your step-by-step guide to understanding and applying AI concepts in real life. With hands-on examples, simple explanations, and real projects, this book takes you from curiosity to confidence.
Inside, you'll discover:
?? What AI is and how it impacts everyday life.
?? The differences between AI, Machine Learning, and Deep Learning.
?? How to collect, clean, and analyze data for AI models.
?? Machine learning basics: regression, classification, clustering, and evaluation.
?? Building your first projects in Python, including spam detection, image recognition, and chatbots.
?? An introduction to Neural Networks, NLP, Reinforcement Learning, and Generative AI.
?? Key ethical issues in AI and how to build responsible, fair systems.
?? Career paths, certifications, and portfolio tips to launch into the AI field.
With practical projects in every chapter, you'll not only learn the theory-you'll build working models and applications.
Whether you're a student, hobbyist, or aspiring professional, this beginner-friendly guide gives you the foundation to start your AI journey.
