{ "item_title" : "Machine Learning with Python", "item_author" : [" Cassia Hawke", "Seraphina Morrow "], "item_description" : "Unlock the Secrets of Artificial Intelligence with Python Dive into the world of Machine Learning and AI with this comprehensive, step-by-step guide designed for both beginners and seasoned developers. Whether you're looking to enhance your data science skills or jumpstart your journey into the fascinating realm of AI, this book is your ultimate companion.Packed with hands-on projects, clear explanations, and real-world examples, you'll master the core concepts of machine learning, including: Supervised and Unsupervised LearningNeural Networks and Deep LearningReinforcement LearningNatural Language Processing (NLP)Generative Models & GANsBuilding and Evaluating Models with Python's most popular libraries like NumPy, Pandas, Scikit-learn, and TensorFlowReal-World Applications: From healthcare to finance, marketing, and robotics, you'll explore how machine learning is transforming industries. Build practical applications like a recommendation system, sentiment analysis model, and even develop a simple Q-learning model to play Tic-Tac-Toe.Why This Book?Comprehensive Coverage: Learn from the basics of Python to advanced machine learning algorithms.Hands-On Projects: Learn by doing. Build your own AI models from scratch AI Ethics: Understand the ethical considerations surrounding machine learning, from bias to data privacy.Practical Approach: Focus on real-world applications to give you a competitive edge in your career.Start building your own AI models today Master Python and machine learning with this beginner-friendly yet comprehensive guide.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/828/328/9798283280585_b.jpg", "price_data" : { "retail_price" : "22.99", "online_price" : "22.99", "our_price" : "22.99", "club_price" : "22.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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