Data Engineering Guide for Beginners: Part 2

Applied AI and Machine Learning for Beginners is a comprehensive guide designed to introduce readers to the exciting world of artificial intelligence and machine learning. Whether you're a student, professional, or curious enthusiast, this book offers a clear, step-by-step approach to understanding and applying AI and machine learning concepts, even if you have no prior experience in the field. Starting with the basics, the book covers the essential theories behind AI and machine learning, breaking down complex concepts into easy-to-understand language.
You'll explore popular algorithms, data preparation techniques, and tools such as Python, TensorFlow, and Scikit-learn, all with hands-on examples to build your confidence. In addition to theory, this book emphasizes real-world application. Through practical projects and tutorials, you'll learn how to work with datasets, build models, and solve problems using AI and machine learning techniques. You'll also discover how these technologies are transforming industries such as healthcare, finance, and automation.
Key Features: A thorough introduction to AI and machine learning concepts Easy-to-follow tutorials with hands-on projects to build your first models Detailed explanations of algorithms like linear regression, decision trees, clustering, and neural networks Step-by-step guide to deploying machine learning models in real-world applications Ethical considerations and emerging trends in AI and machine learning Resources for further learning and developing your AI and ML skills By the end of this book, you'll have a solid foundation in AI and machine learning and the practical skills needed to start building your own models.
Whether you're aiming to pursue a career in this growing field or simply want to understand how AI and ML are shaping the future, Applied AI and Machine Learning for Beginners is the perfect starting point.