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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition Sinan Ozdemir, Sunil Kakade, Marco Tibaldeschi

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition Sinan Ozdemir, Sunil Kakade, Marco Tibaldeschi - okladka książki

Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition Sinan Ozdemir, Sunil Kakade, Marco Tibaldeschi - okladka książki

Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition Sinan Ozdemir, Sunil Kakade, Marco Tibaldeschi - audiobook MP3

Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition Sinan Ozdemir, Sunil Kakade, Marco Tibaldeschi - audiobook CD

Autorzy:
Sinan Ozdemir, Sunil Kakade, Marco Tibaldeschi
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
424
Dostępne formaty:
     PDF
     ePub
Need to turn programming skills into effective data science skills? This book helps you connect mathematics, programming, and business analysis. You’ll feel confident asking—and answering—complex, sophisticated questions of your data, making abstract and raw statistics into actionable ideas.
Going through the data science pipeline, you'll clean and prepare data and learn effective data mining strategies and techniques to gain a comprehensive view of how the data science puzzle fits together. You’ll learn fundamentals of computational mathematics and statistics and pseudo-code used by data scientists and analysts. You’ll learn machine learning, discovering statistical models that help control and navigate even the densest datasets, and learn powerful visualizations that communicate what your data means.

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O autorach książki

Sinan Ozdemir is a data scientist, start-up founder, and educator living in the San Francisco Bay Area. He studied pure mathematics at the Johns Hopkins University. He then spent several years conducting lectures on data science there, before founding his own start-up, Kylie ai, which uses artificial intelligence to clone brand personalities and automate customer service communications. He is also the author of Principles of Data Science, available through Packt.
Sunil Kakade is a technologist, educator, and senior leader with expertise in creating data and AI-driven organizations. He is in the adjunct faculty at Northwestern University, Evanston, IL, where he teaches graduate courses of data science and big data. He has several research papers to his credit and has presented his work in big data applications at reputable conferences. He has US patents in areas of big data and retail processes. He is passionate about applying data science to improve business outcomes and save patients' lives. At present, Sunil leads the information architecture and analytics team for a large healthcare organization focused on improving healthcare outcomes and lives with his wife, Pratibha, and daughter, Preeti, in Scottsdale, Arizona.
Marco Tibaldeschi, born in 1983, Master’s degree in informatic engineering, has actively worked on the web since 1994. Thanks to the fact that he is the fourth of four brothers, he has always had a foot in the future. In 1998 he registered his fist domain which was one of the fist virtual web communities in Italy. Because of this, he has been interviewed by different national newspapers and radio stations, and a research book has been written by University of Pisa in order to understand the social phenomenon. In 2003, he founded DBN Communication, a web consulting company that owns and develops eDock, a SaaS that helps sellers to manage their inventories and orders on the biggest marketplaces in the world (like Amazon and eBay).

Sinan Ozdemir, Sunil Kakade, Marco Tibaldeschi - pozostałe książki

Packt Publishing - inne książki

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