{"product_id":"machine-learning-for-biomedical-applications-with-scikitlearn-and-pytorch-9780128229040","title":"Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eMachine Learning for Biomedical Applications: With Scikit-Learn and PyTorch provides a practical and interactive introduction to machine learning and data analysis skills for undergraduates and postgraduates in biomedical engineering, computer science, the biomedical sciences, and clinicians. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 304 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 01 September 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Elsevier Science Publishing Co Inc\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eMachine Learning for Biomedical Applications: With Scikit-Learn and PyTorch\u003cbr\u003e\u003cbr\u003eMachine learning has revolutionized the field of biomedical applications, enabling researchers to analyze vast amounts of data and make accurate predictions. In this comprehensive guide, we will explore the most commonly used machine learning techniques in a biomedical setting, providing a practical and interactive way of learning.\u003cbr\u003e\u003cbr\u003eWe will begin by avoiding a theoretical perspective and focusing on practical applications. Concepts will be presented in short descriptions, followed by simple examples using biomedical data. Interactive Python notebooks will be provided with each chapter to complement the text and aid understanding.\u003cbr\u003e\u003cbr\u003eSections will cover a wide range of topics, including:\u003cbr\u003e\u003cbr\u003eUses in biomedical applications: Learn how machine learning is being used to diagnose diseases, develop new treatments, and improve patient outcomes.\u003cbr\u003e\u003cbr\u003ePractical Python coding skills: Develop the skills needed to implement machine learning algorithms in Python, including data manipulation, model training, and evaluation.\u003cbr\u003e\u003cbr\u003eMathematical tools that underpin the field: Understand the mathematical principles that drive machine learning, such as probability, statistics, and linear algebra.\u003cbr\u003e\u003cbr\u003eCore machine learning methods: Explore the most popular machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.\u003cbr\u003e\u003cbr\u003eDeep learning concepts with examples in Keras: Learn how to implement deep learning models using the popular deep learning framework Keras, with examples in biomedical applications.\u003cbr\u003e\u003cbr\u003eAnd much more!\u003cbr\u003e\u003cbr\u003eThis accessible and interactive introduction to machine learning and data analysis skills is suitable for undergraduates and postgraduates in biomedical engineering, computer science, the biomedical sciences, and clinicians. Whether you are a beginner or an experienced researcher, this guide will help you unlock the power of machine learning and apply it to real-world biomedical problems.\u003cbr\u003e\u003cbr\u003eSo, what are you waiting for? Start your journey into machine learning for biomedical applications today!\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 1000g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 191 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780128229040\u003c\/p\u003e","brand":"MariaDeprez,Emma C.Robinson","offers":[{"title":"Paperback \/ softback","offer_id":44594761892090,"sku":"9780128229040","price":53.02,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1695991451831_book.jpg?v=1696055094","url":"https:\/\/shulphink.com\/products\/machine-learning-for-biomedical-applications-with-scikitlearn-and-pytorch-9780128229040","provider":"Shulph Ink","version":"1.0","type":"link"}