<p>Welcome to Introduction to Artificial Intelligence (AI) and Machine Learning (ML)! AI and ML are transforming industries from self-driving cars to predictive analytics. This textbook introduces these technologies providing both foundational knowledge and practical applications.</p><p><b>Intended Audience:</b></p><p>Designed for students and professionals in computer science data science and engineering this book caters to all levels offering a blend of theory and hands-on practice.</p><p><b>Structure and Approach:</b></p><p>Starting with core concepts the book covers AI/ML history techniques and algorithms progressing to advanced topics like deep learning and natural language processing with coding examples for practical experience.</p><p><b>Key Features:</b></p><p>Hands-on Examples: Practical coding with TensorFlow Keras and scikit-learn.<br/>Case Studies: Real-world applications in healthcare finance and more.<br/>Tools & Techniques: Key AI/ML libraries and frameworks.<br/>Emerging Trends: AI ethics neural networks and societal impacts.<br/>This book is your comprehensive guide to mastering AI and ML for academic professional and personal projects.</p>
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