Machine learning and big data : concepts, algorithms, tools and applications
"Machine learning with big data technologies create new opportunities to understand the various data process related to medical or environmental aspects of agriculture. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland sec...
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Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Hoboken, NJ :
Wiley-Scrivener,
2020.
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Subjects: | |
ISBN: | 1119654793 9781119654810 1119654815 9781119654834 1119654831 9781119654797 9781119654742 1119654742 |
Physical Description: | 1 online resource |
Summary: | "Machine learning with big data technologies create new opportunities to understand the various data process related to medical or environmental aspects of agriculture. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security from analyzing biochemical interactions to structural monitoring of aging bridges, and from emissions to astrophysics, etc. As we are entering the Industrial Revolution 4.0, BD/ML applications, in combination with IoT/Cloud technologies, are fundamentally changing any domain-specific industry. Development of this field is very important because it can help to enhance human life by the automation system, which in turn has far-reaching effects for economic, psychological, educational and organizational improvements to the way we work, teach, learn and care for ourselves and each other"-- |
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Bibliography: | Includes bibliographical references and index. |
ISBN: | 1119654793 9781119654810 1119654815 9781119654834 1119654831 9781119654797 9781119654742 1119654742 |
Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |