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AI & Machine Learning Essentials for Absolute Beginners: Let this book be your accessible companion into the world of artificial intelligence—clear, ... Technologies Series for Beginners) - Softcover
Inhaltsangabe
Unlock the Power of Artificial Intelligence — No Experience Needed!
Are you curious about artificial intelligence but feel overwhelmed by complex jargon and intimidating math? AI & Machine Learning Essentials for Absolute Beginners is your ultimate guide to understanding and using AI in the real world—no coding or technical background required.
Packed with relatable stories, real-world case studies, and step-by-step tutorials, this book takes you on an inspiring journey through the world of AI. From smart assistants and healthcare innovations to personalized shopping and ethical dilemmas, discover how AI works—and why it matters.
No prior experience required
Real-life examples from 2025 and beyond
Step-by-step machine learning project you can build today
Covers ethics, careers, tools, policy, and the future of AI
Includes both code and no-code solutions
Whether you’re a student, educator, policymaker, or curious learner, this book makes AI engaging, practical, and empowering.
Start your AI journey today. The future belongs to those who understand it.
Introduction: The AI Revolution – How Machines Learn
- Inspiring stories of AI in daily life
- The need for AI literacy in today’s world
- AI applications you already use
- Why AI is transforming society
- Definitions and history
- AI vs. ML vs. DL
- Types of AI systems
- Supervised, unsupervised, reinforcement learning
- Data, features, training/testing
- How data powers AI
- What algorithms really are
- Real-world applications and common challenges
- Python, Jupyter, Colab, scikit-learn, TensorFlow
- No-code platforms like Lobe, Teachable Machine
- Setting up your environment
- A step-by-step beginner project
- Classify images using code or no-code tools
- Neural networks explained
- Use cases and model training basics
- Tools like Keras and PyTorch
- Healthcare, finance, transport, retail, agriculture
- Mini-stories from 2020–2025
- Bias, fairness, transparency
- Regulation, privacy, accountability
- AI in schools and careers
- National strategies and civic participation
- Generative AI, quantum computing, edge AI
- Future trends, ethical horizons, and lifelong learning
- Glossary of AI terms
- No-code and coding tools
- Recommended books, courses, and datasets
- Public domain image sources
Let this book be your accessible companion into the world of artificial intelligence—clear, current, and made for you.
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Paperback. Zustand: new. Paperback. Unlock the Power of Artificial Intelligence - No Experience Needed!Are you curious about artificial intelligence but feel overwhelmed by complex jargon and intimidating math? AI & Machine Learning Essentials for Absolute Beginners is your ultimate guide to understanding and using AI in the real world-no coding or technical background required.Packed with relatable stories, real-world case studies, and step-by-step tutorials, this book takes you on an inspiring journey through the world of AI. From smart assistants and healthcare innovations to personalized shopping and ethical dilemmas, discover how AI works-and why it matters.No prior experience requiredReal-life examples from 2025 and beyondStep-by-step machine learning project you can build todayCovers ethics, careers, tools, policy, and the future of AIIncludes both code and no-code solutionsWhether you're a student, educator, policymaker, or curious learner, this book makes AI engaging, practical, and empowering.Start your AI journey today. The future belongs to those who understand it.Introduction: The AI Revolution - How Machines LearnInspiring stories of AI in daily lifeThe need for AI literacy in today's worldChapter 1: The AI Revolution - How Machines LearnAI applications you already useWhy AI is transforming societyChapter 2: What is Artificial Intelligence?Definitions and historyAI vs. ML vs. DLTypes of AI systemsChapter 3: Fundamentals of Machine LearningSupervised, unsupervised, reinforcement learningData, features, training/testingChapter 4: Data and AlgorithmsHow data powers AIWhat algorithms really areReal-world applications and common challengesChapter 5: Tools of the TradePython, Jupyter, Colab, scikit-learn, TensorFlowNo-code platforms like Lobe, Teachable MachineSetting up your environmentChapter 6: Project - Build Your First ClassifierA step-by-step beginner projectClassify images using code or no-code toolsChapter 7: Deep Learning Made SimpleNeural networks explainedUse cases and model training basicsTools like Keras and PyTorchChapter 8: AI in the Real World - Case StudiesHealthcare, finance, transport, retail, agricultureMini-stories from 2020-2025Chapter 9: Ethical AI and SocietyBias, fairness, transparencyRegulation, privacy, accountabilityChapter 10: AI for Everyone - Education and PolicyAI in schools and careersNational strategies and civic participationChapter 11: The Road Ahead in AIGenerative AI, quantum computing, edge AIFuture trends, ethical horizons, and lifelong learningAppendices and Further ResourcesGlossary of AI termsNo-code and coding toolsRecommended books, courses, and datasetsPublic domain image sourcesAbout the AuthorLet this book be your accessible companion into the world of artificial intelligence-clear, current, and made for you. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798283219936
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