{"product_id":"9781784394011","title":"Practical Machine Learning","description":"\u003cp\u003e\u003cb\u003eTackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniques\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eFully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark\u003c\/li\u003e\n\u003cli\u003eComprehensive practical solutions taking you into the future of machine learning\u003c\/li\u003e\n\u003cli\u003eGo a step further and integrate your machine learning projects with Hadoop\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eThis book has been created for data scientists who want to see machine learning in action and explore its real-world application. With guidance on everything from the fundamentals of machine learning and predictive analytics to the latest innovations set to lead the big data revolution into the future, this is an unmissable resource for anyone dedicated to tackling current big data challenges. Knowledge of programming (Python and R) and mathematics is advisable if you want to get started immediately.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eImplement a wide range of algorithms and techniques for tackling complex data\u003c\/li\u003e\n\u003cli\u003eGet to grips with some of the most powerful languages in data science, including R, Python, and Julia\u003c\/li\u003e\n\u003cli\u003eHarness the capabilities of Spark and Hadoop to manage and process data successfully\u003c\/li\u003e\n\u003cli\u003eApply the appropriate machine learning technique to address real-world problems\u003c\/li\u003e\n\u003cli\u003eGet acquainted with Deep learning and find out how neural networks are being used at the cutting-edge of machine learning\u003c\/li\u003e\n\u003cli\u003eExplore the future of machine learning and dive deeper into polyglot persistence, semantic data, and more\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003eFinding meaning in increasingly larger and more complex datasets is a growing demand of the modern world. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. Machine learning uses complex algorithms to make improved predictions of outcomes based on historical patterns and the behaviour of data sets. Machine learning can deliver dynamic insights into trends, patterns, and relationships within data, immensely valuable to business growth and development.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book explores an extensive range of machine learning techniques uncovering hidden tricks and tips for several types of data using practical and real-world examples. While machine learning can be highly theoretical, this book offers a refreshing hands-on approach without losing sight of the underlying principles. Inside, a full exploration of the various algorithms gives you high-quality guidance so you can begin to see just how effective machine learning is at tackling contemporary challenges of big data.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis is the only book you need to implement a whole suite of open source tools, frameworks, and languages in machine learning. We will cover the leading data science languages, Python and R, and the underrated but powerful Julia, as well as a range of other big data platforms including Spark, Hadoop, and Mahout. Practical Machine Learning is an essential resource for the modern data scientists who want to get to grips with its real-world application.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWith this book, you will not only learn the fundamentals of machine learning but dive deep into the complexities of real world data before moving on to using Hadoop and its wider ecosystem of tools to process and manage your structured and unstructured data.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYou will explore different machine learning techniques for both supervised and unsupervised learning; from decision trees to Naive Bayes classifiers and linear and clustering methods, you will learn strategies for a truly advanced approach to the statistical analysis of data. The book also explores the cutting-edge advancements in machine learning, with worked examples and guidance on deep learning and reinforcement learning, providing you with practical demonstrations and samples that help take the theory–and mystery–out of even the most advanced machine learning methodologies.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStyle and approach\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eA practical data science tutorial designed to give you an insight into the practical application of machine learning, this book takes you through complex concepts and tasks in an accessible way. Featuring information on a wide range of data science techniques, Practical Machine Learning is a comprehensive data science resource.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47135575048432,"sku":"9781784394011","price":37.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781784394011_p0.jpg?v=1763725707","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781784394011","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}