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Amacımız .fb2 formatında bir kitap okumanıza yardımcı olmaktır. Böylece Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies kitabını kolayca açabilir ve John D. Kelleher ile diğer birçok kitabı okuyabilirsiniz. Bu biçim, Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies dahil olmak üzere elektronik kitap okumak için bir yazılım üreticisi olan birçok yayıncı tarafından yaygın olarak desteklenmektedir. Kitapları FictionBook formatında saklamanın destekçilerinin temel amacı, bir FictionBook format dosyasını {{title} da bulabileceğiniz diğer popüler formatlara kolayca (otomatik olarak dahil) dönüştürme yeteneğiyle Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies kitabının yapısını açıkça saklamaktır. } Web sitemizde. İşleme sırasındaki bu depolama, kitapları başka bir biçimde depolamaktan çok daha az zaman ve çaba gerektirir. En önemlisi, FictionBook formatı Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies gibi kurgu için uygundur. Bu biçim, e-kitapların ve "okuyucuların" artan popülaritesi ile birlikte popülerlik kazanmaktadır. Bu nedenle, Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies kitabını bu biçimde indirmenizi öneririz. Dahası, neredeyse her cihazda açabilirsiniz. Bu biçim sayesinde Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies kitabı, hareket halindeyken veya canlı bir kitap alamayacağınız veya bir dizüstü bilgisayarda açamayacağınız alışılmadık bir yerde okumak için çok uygun olan tabletinizin veya akıllı telefonunuzun ekran boyutuna otomatik olarak ayarlanır.

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Book on Demand Ltd. Additional Contributors Springer WADE H MCCREE Gale, U.S. Supreme Court Records MDPI AG ERWIN N GRISWOLD Rusça İspanyolca HACHETTE LIVRE-BNF Almanca LAP LAMBERT Academic Publishing Kolektif Türkçe İngilizce ROBERT H BORK Independently published Fransızca
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Yazar Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies John D. Kelleher Brian Mac Namee Aoife D'Arcy

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.The book is accessible, offering nontechnical explanations of the ideas underpinning each approach before introducing mathematical models and algorithms. It is focused and deep, providing students with detailed knowledge on core concepts, giving them a solid basis for exploring the field on their own. Both early chapters and later case studies illustrate how the process of learning predictive models fits into the broader business context. The two case studies describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book can be used as a textbook at the introductory level or as a reference for professionals.

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