Build Real-World Data Science Expertise in Just 12 Weeks Data science is one of the most in-demand fields today, and mastering its foundations can unlock countless opportunities in AI-driven industries. Applied Data Science Foundations is a comprehensive, practical guide designed for learners who want to gain real-world skills in machine learning, time-series analysis, computer vision, recommender systems, and beyond. This book provides a hands-on learning approach, ensuring you not only understand the theory but also know how to apply it in real-world projects. Through structured chapters and actionable exercises, you will build confidence to design, implement, and deploy AI-powered solutions effectively. Inside this book, you will discover: Practical frameworks for mastering machine learning concepts, including supervised, unsupervised, and reinforcement learning, with step-by-step implementation strategies in real projects. Comprehensive coverage of time-series forecasting techniques to analyze trends, predict future outcomes, and build predictive models that drive smarter business decisions. In-depth exploration of computer vision applications, from image classification and object detection to advanced vision-based automation for modern AI-driven solutions. Powerful methods for designing and deploying recommender systems that deliver personalized user experiences, increase engagement, and enhance decision-making in digital platforms. Real-world data science workflows with hands-on projects, emphasizing data preprocessing, feature engineering, and model optimization to achieve high-performance results. Forward-thinking insights on AI automation, ethical AI practices, and integration of artificial general intelligence concepts to future-proof your data science career. Whether you are a beginner stepping into data science or a professional looking to sharpen your AI & ML skills, this book will help you master the applied techniques that matter most in today’s data-driven world. Start your 12-week journey to becoming an expert in applied data science today!