{"product_id":"machine-learning-and-artificial-intelligence-concepts-algorithms-and-models","title":"Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models","description":"\u003cp\u003eMastering AI, machine learning, and data science often means piecing together concepts scattered across countless resources, statistics, and visualizations to foundational models and large language models. This book, the result of eight years of effort, brings it all together in one accessible, engaging package. It clarifies artificial intelligence and data science, blending core mathematical principles with a clear, reader-friendly approach. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eUnlike traditional textbooks that lean heavily on equations and mathematical formalization, the author starts with minimal prerequisites, layering deeper math as the reader progresses. Each concept, algorithm, or model is unpacked through clear, hands-on examples that build the reader's skills step by step. It strikes a balance between theoretical foundations and practical application, serving as both an academic reference and a practical guide.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFurthermore, the book uses humor, casual language, and comics to make the challenging concepts and topics relatable and fun. Any resemblance between the jokes and real life is pure coincidence, and no offense is intended.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePart I: Introduction \u0026amp; Preliminary Requirements\u003cul\u003e\n\u003cli\u003eChapter 1: Basic Concepts\u003c\/li\u003e\n\u003cli\u003eChapter 2: Visualization\u003c\/li\u003e\n\u003cli\u003eChapter 3: Probability and Statistics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003ePart II: Unsupervised Learning\u003cul\u003e\n\u003cli\u003eChapter 4: Clustering\u003c\/li\u003e\n\u003cli\u003eChapter 5: Frequent Itemset, Sequence Mining and Information Retrieval\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003ePart III: Data Engineering\u003cul\u003e\n\u003cli\u003eChapter 6: Feature Engineering\u003c\/li\u003e\n\u003cli\u003eChapter 7: Dimensionality Reduction and Data Decomposition\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003ePart IV: Supervised Learning\u003cul\u003e\n\u003cli\u003eChapter 8: Regression Analysis\u003c\/li\u003e\n\u003cli\u003eChapter 9: Classification\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003ePart V: Neural Network\u003cul\u003e\n\u003cli\u003eChapter 10: Neural Networks and Deep Learning\u003c\/li\u003e\n\u003cli\u003eChapter 11: Self-Supervised Deep Learning\u003c\/li\u003e\n\u003cli\u003eChapter 12: Deep Learning Models and Applications (Text, Vision, and Audio)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003ePart VI: Reinforcement Learning\u003cul\u003e\u003cli\u003eChapter 13: Reinforcement Learning\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003ePart VII: Other Algorithms and Concepts\u003cul\u003e\n\u003cli\u003eChapter 14: Making Lighter Neural Network and Machine Learning Models\u003c\/li\u003e\n\u003cli\u003eChapter 15: Graph Mining Algorithms\u003c\/li\u003e\n\u003cli\u003eChapter 16: Concepts and Challenges of Working with Data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Reza Rawassizadeh","offers":[{"title":"Paperback","offer_id":46721165721836,"sku":"9798992162110","price":131.84,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0684\/1791\/3068\/files\/9798992162110.jpg?v=1754609598","url":"https:\/\/intl.allstora.com\/products\/machine-learning-and-artificial-intelligence-concepts-algorithms-and-models","provider":"Allstora","version":"1.0","type":"link"}