{"product_id":"machine-learning-python-for-data-science-a-practical-guide-to-building-training-testing-and-deploying-machine-learning-ai-models-9798266700475","title":"Machine Learning: Python for Data Science: A Practical Guide to Building, Training, Testing and Deploying Machine Learning \/ AI models","description":"\u003cp\u003e • Author(s): Nikhil Khan\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Database Administration \u0026amp; Management\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLARGE 8.5 x 11 Inch Pages \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eMachine Learning: Python for Data Science (Book 3) \u003ci\u003eA Practical Guide to Building, Training, Testing, and Deploying Machine Learning \/ AI Models\u003c\/i\u003e\u003cp\u003eUnlock the full potential of machine learning with \u003cb\u003eMachine Learning: Python for Data Science\u003c\/b\u003e, your comprehensive companion to mastering the art and science of building intelligent models. Whether you're a budding data scientist, an experienced developer, or a curious enthusiast, this book offers a hands-on approach to understanding and applying machine learning techniques using Python's most powerful libraries.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eInside This Book: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eFoundations of Machine Learning: \u003c\/b\u003e Begin with a clear definition and exploration of key concepts, tracing the history and evolution of machine learning. Understand the different types-supervised, unsupervised, and reinforcement learning-and discover their real-world applications across finance, healthcare, e-commerce, and more.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eEnd-to-End Workflow: \u003c\/b\u003e Navigate the complete machine learning pipeline from problem definition and data collection to feature engineering, model training, validation, and iterative improvement. Learn to evaluate model performance with essential metrics and refine your approaches for optimal results.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eEssential Python Libraries: \u003c\/b\u003e Dive deep into essential libraries such as Scikit-Learn, Pandas, and NumPy. Expand your toolkit with advanced tools like XGBoost, CatBoost, TensorFlow Decision Forests, Matplotlib, and Seaborn for robust model building and insightful data visualization.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eAdvanced Techniques: \u003c\/b\u003e Master a variety of machine learning techniques including regression, classification, ensemble learning, clustering, dimensionality reduction, and anomaly detection. Each chapter provides practical examples and case studies to reinforce your learning.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eSpecialized Topics: \u003c\/b\u003e Explore niche areas such as time series analysis, semi-supervised learning, automating machine learning (AutoML), building recommender systems, and natural language processing (NLP). Gain the skills to tackle diverse and complex data science challenges.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eReal-World Applications and Pipelines: \u003c\/b\u003e Learn to build end-to-end machine learning pipelines, automate workflows with Scikit-learn Pipelines, and deploy your models using Flask or FastAPI. Understand the essentials of monitoring and maintaining deployed models to ensure sustained performance.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eEthical AI Development: \u003c\/b\u003e Delve into the critical aspects of ethical machine learning. Address bias in datasets and models, ensure transparency and explainability, safeguard privacy and data security, and adhere to guidelines for responsible AI development.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46332655337623,"sku":"9798266700475","price":1860.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798266700475.webp?v=1768727100","url":"https:\/\/atlanticbooks.com\/products\/machine-learning-python-for-data-science-a-practical-guide-to-building-training-testing-and-deploying-machine-learning-ai-models-9798266700475","provider":"Atlantic Books","version":"1.0","type":"link"}