Ai Machine Learning Essentials For Absolute Beginners
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AI & Machine Learning Essentials for Absolute Beginners
Author: Dr Israel Carlos Lomovasky
language: en
Publisher: Independently Published
Release Date: 2025-05-09
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 Chapter 1: The AI Revolution - How Machines Learn AI applications you already use Why AI is transforming society Chapter 2: What is Artificial Intelligence? Definitions and history AI vs. ML vs. DL Types of AI systems Chapter 3: Fundamentals of Machine Learning Supervised, unsupervised, reinforcement learning Data, features, training/testing Chapter 4: Data and Algorithms How data powers AI What algorithms really are Real-world applications and common challenges Chapter 5: Tools of the Trade Python, Jupyter, Colab, scikit-learn, TensorFlow No-code platforms like Lobe, Teachable Machine Setting up your environment Chapter 6: Project - Build Your First Classifier A step-by-step beginner project Classify images using code or no-code tools Chapter 7: Deep Learning Made Simple Neural networks explained Use cases and model training basics Tools like Keras and PyTorch Chapter 8: AI in the Real World - Case Studies Healthcare, finance, transport, retail, agriculture Mini-stories from 2020-2025 Chapter 9: Ethical AI and Society Bias, fairness, transparency Regulation, privacy, accountability Chapter 10: AI for Everyone - Education and Policy AI in schools and careers National strategies and civic participation Chapter 11: The Road Ahead in AI Generative AI, quantum computing, edge AI Future trends, ethical horizons, and lifelong learning Appendices and Further Resources Glossary of AI terms No-code and coding tools Recommended books, courses, and datasets Public domain image sources About the Author Let this book be your accessible companion into the world of artificial intelligence-clear, current, and made for you.
Machine Learning for Absolute Beginners:
Machine Learning for Absolute Beginners In a world where artificial intelligence is shaping the future, understanding machine learning is no longer optional—it's essential. This book takes you on a journey through the fundamentals of AI and data science, breaking down complex concepts into simple, beginner-friendly language. Whether you're a tech enthusiast, an aspiring data scientist, or just curious about the power of AI, this step-by-step guide will help you grasp the essentials without needing any prior coding experience. Inside This Book, You'll Discover: The difference between AI, machine learning, and deep learning Types of machine learning: Supervised, unsupervised, and reinforcement learning Key concepts like data, features, labels, and models Understanding algorithms, from linear regression to neural networks How to prepare and clean data for machine learning An introduction to Python and popular ML libraries like Scikit-Learn, TensorFlow, and PyTorch Real-world applications and ethical considerations in AI This book is designed for absolute beginners, ensuring you build a strong foundation in machine learning without the need for complex mathematics or programming skills. If you've ever wanted to explore AI but didn't know where to start—this is your gateway into the exciting world of machine learning! Scroll Up and Grab Your Copy Today!
AI Essentials & Basics Courseware
Author: Reinier van den Biggelaar
language: en
Publisher: Van Haren
Release Date: 2024-11-06
#html-body [data-pb-style=U317V0N]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}The AI Essentials courseware offers a comprehensive 1 day training program tailored for business and government professionals, focusing on the practical application and understanding of Artificial Intelligence (AI) in their respective work environments. This course is structured to provide a deeper insight into the fundamental concepts of human and Artificial Intelligence, emphasizing the role of Machine Learning (ML) as a pivotal contributor to AI's growth. Participants will explore the general definition of human and AI, delve into the concept of 'learning from experience,' and understand how this is integral to Machine Learning, based on Tom Mitchell's explicit definition. The course also illuminates how AI is an essential component of Universal Design and the Fourth Industrial Revolution. A significant focus is given to the challenges posed by AI, including a comparison of AI limitations against human systems and the ethical dilemmas AI presents. Participants will gain a comprehensive understanding of the risks associated with AI, typical funding sources for AI projects, and an enumeration of AI's potential applications. Crucially, the course will demonstrate how AI, particularly Machine Learning, is set to enhance collaboration between humans and machines. It will also provide a forecast of future directions in this symbiotic relationship, outlining the evolving landscape of human-machine collaboration. This courseware educates for: The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. Follow up modules on this course are. The AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. The EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.