Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Advanced Mathematical Applications in Data Science

by Kirti Verma
Save 12% Save 12%
Current price ₹6,093.00
Original price ₹6,958.00
Original price ₹6,958.00
Original price ₹6,958.00
(-12%)
₹6,093.00
Current price ₹6,093.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9789815124866
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Bentham Science Publishers
  • Publisher Imprint: Bentham Science Publishers
  • Publication Date:
  • Pages: 222
  • Original Price: USD 71.0
  • Language: English
  • Edition: N/A
  • Item Weight: 540 grams
  • BISAC Subject(s): Database Administration & Management

Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses.

Key Features:

-Comprehensive coverage of advanced mathematical concepts and techniques in data science.
-Contributions from established scientists, researchers, and academicians.
-Real-world case studies and practical applications of mathematical methods.
-Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis.
-In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence.
-Scholarly references for each chapter.
-Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us