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portada Machine Learning and Data Science: Fundamentals and Applications
Type
Physical Book
Publisher
Author
Year
2022
Language
English
Pages
272
Format
Hardcover
Dimensions
23.1x15.2x2 cm
Weight
0.50 kg.
ISBN13
9781119775614
Edition No.
1
Categories

Machine Learning and Data Science: Fundamentals and Applications

Agrawal, Prateek ; Gupta, Charu ; Sharma, Anand (Author) · Wiley-Scrivener · Hardcover

Machine Learning and Data Science: Fundamentals and Applications - Agrawal, Prateek ; Gupta, Charu ; Sharma, Anand

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Delivery: 05 Oct - 07 Oct Shipping: 7 to 8 business days.
€ 216,35
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Synopsis "Machine Learning and Data Science: Fundamentals and Applications"

MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.

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