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    R: Unleash Machine Learning Techniques. Smarter data analytics Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali

    (ebook) (audiobook) (audiobook) Książka w języku 1
    R: Unleash Machine Learning Techniques. Smarter data analytics Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali - okladka książki

    R: Unleash Machine Learning Techniques. Smarter data analytics Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali - okladka książki

    R: Unleash Machine Learning Techniques. Smarter data analytics Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali - audiobook MP3

    R: Unleash Machine Learning Techniques. Smarter data analytics Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali - audiobook CD

    Autorzy:
    Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Dostępne formaty:
         PDF
         ePub
         Mobi
    R is the established language of data analysts and statisticians around the world. And you shouldn’t be afraid to use it…
    This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R.
    In the first module you’ll get to grips with the fundamentals of R. This means you’ll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems.
    For the following two modules we’ll begin to investigate machine learning algorithms in more detail. To build upon the basics, you’ll get to work on three different projects that will test your skills. Covering some of the most important algorithms and featuring some of the most popular R packages, they’re all focused on solving real problems in different areas, ranging from finance to social media.
    This Learning Path has been curated from three Packt products:
    • R Machine Learning By Example By Raghav Bali, Dipanjan Sarkar
    • Machine Learning with R - Second Edition By Brett Lantz
    • Mastering Machine Learning with R By Cory Lesmeister

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    O autorach książki

    Brett Lantz korzysta z innowacyjnych metod analizy danych, aby lepiej zrozumieć ludzkie zachowanie. Jest z wykształcenia socjologiem i instruktorem DataCamp, prowadzi warsztaty uczenia maszynowego na całym świecie. Interesuje się między innymi zastosowaniami data science w sporcie, grach wideo, pojazdach autonomicznych i nauce języków obcych.

    Cory Lesmeister has over fourteen years of quantitative experience and is currently a senior data scientist for the advanced analytics team at Cummins, Inc. in Columbus, Indiana. He has spent 16 years at Eli Lilly and Company in sales, market research, Lean Six Sigma, marketing analytics, and new product forecasting. He also has several years of experience in the insurance and banking industries, both as a consultant and as a manager of marketing analytics. A former US Army active duty and reserve officer, Cory was stationed in Baghdad, Iraq, in 2009. Here, he served as the strategic advisor to the 29,000-person Iraqi Oil Police, succeeding where others failed by acquiring and delivering promised equipment to help the country secure and protect its oil infrastructure. He has a BBA in aviation administration from the University of North Dakota and a commercial helicopter license.
    Dipanjan (DJ) Sarkar is a Data Scientist at Intel, leveraging data science, machine learning, and deep learning to build large-scale intelligent systems. He holds a master of technology degree with specializations in Data Science and Software Engineering. He has been an analytics practitioner for several years now, specializing in machine learning, NLP, statistical methods, and deep learning. He is passionate about education and also acts as a Data Science Mentor at various organizations like Springboard, helping people learn data science. He is also a key contributor and editor for Towards Data Science, a leading online journal on AI and Data Science. He has also authored several books on R, Python, machine learning, NLP, and deep learning.
    Raghav Bali has a master's degree (gold medalist) in information technology from International Institute of Information Technology, Bangalore. He is a data scientist at Intel, the world's largest silicon company, where he works on analytics, business intelligence, and application development to develop scalable machine learning-based solutions. He has worked as an analyst and developer in domains such as ERP, finance, and BI with some of the top companies of the world.

    Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali - pozostałe książki

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