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Item #:
254227909
Applied Mathematics and Machine Learning, (Hardcover)
Item #:
254227909
FJD 206
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Product Details
- The simultaneous availability of large datasets and high-performance computing capability in recent years has enabled the rapid development of powerful machine learning algorithms. On the one hand, state-of-the-art machine learning techniques have transformed many areas of science and engineering; on the other hand, theoretical discoveries in mathematical algorithms, differential equations, and statistical inferences, to name a few, have provided the foundation for the exploration of new multidisciplinary models for solving practical problems. This Special Issue endeavors to continue the journey that started in our previous Special Issue (Applied Mathematics and Computational Physics) by providing a platform for researchers from both academia and industry, as well as government, to present their new computational methods that have engineering and physics applications. We publish papers from all areas of mathematics and engineering, and especially those that showcase novel machine learning techniques that leverage subject matter expertise. We aim to foster the communication of the latest research results in the areas of applied and computational mathematics.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | May, 2024 |
| Pages | 170 |
| Subgenre | Computer Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | Mdpi AG |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | General |
| Is collectible | N |
| Binding type | Case Binding |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.69 x 0.63 x 9.61 Inches (17 x 1.6 x 24.4 cm) |
| Assembled product weight | 1.26 lb (570 grams) |
| Bisac subject heading | Computers |
Product Description
Applied Mathematics and Machine Learning, (Hardcover)
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Customer Questions & Answers
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Question:
What is the publication date of the book?
Answer: The book is set to be published on May 29, 2024. -
Question:
What topics does this book cover?
Answer: The book covers applied mathematics, machine learning, and their applications in engineering and physics. -
Question:
Who can benefit from this book?
Answer: Researchers from academia and industry, as well as government professionals, can greatly benefit from this book.
Qun Li All Books Editorial Review
Applied Mathematics and Machine Learning, a hardcover book published by Mdpi AG in May 2024, delves into computing and internet applications focusing on mathematics and computer science. With 170 pages of insightful content, it addresses both general educational levels and specialized topics within the realm of non-fiction, making it a valuable resource for students and professionals alike. The book's case binding and compact size, measuring 6.69 x 0.63 x 9.61 inches, ensure durability and portability, making it ideal for readers on the go. Users appreciate its comprehensive approach to applied mathematics, facilitating a practical understanding of machine learning fundamentals.
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Pros
- Durable hardcover format for long-term use
- Insightful content on machine learning
- Ideal for both students and professionals
- Compact size for easy portability
- Published by a reputable publisher
Cons
- Content may be too technical for some beginners
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FJD 206
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Features & Benefits
- Explore powerful machine learning algorithms developed from large datasets.
- Discover the connection between theoretical mathematics and practical applications.
- Gain insights from interdisciplinary research in engineering and physics.
- Access cutting-edge computational methods and novel techniques.
- Enhance your knowledge with contributions from academia and industry experts.
- Stay updated with the latest advancements in applied mathematics and machine learning.
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