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51527767
Machine Learning and Data Science: Fundamentals and Applications 1st Edition
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Item #:
51527767
€ 223
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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.
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What Stands Out
Comprehensive Coverage
Offers extensive insights into machine learning and data science, catering to beginners and professionals alike, ensuring a strong foundational understanding of vital concepts and techniques.
Practical Applications
Includes real-world applications and case studies, helping readers to connect theoretical knowledge with practical implementations, empowering them to apply skills in various industries effectively.
Ideal Learning Resource
Designed as an accessible study guide with clear explanations, illustrations, and exercises, making it suitable for students and self-learners aiming to master data science principles.
Product Details
- Written and edited by a team of field experts
- Reflects the most up-to-date and comprehensive state of machine learning and data science
- Covers extensive scope in theory and applications for industry, government, and academia
- Addresses challenges with innovative algorithms in artificial intelligence, data analytics, pattern recognition, and big data manipulation
- Tackles scientific challenges including data capture, storage, retrieval, analysis, and visualization
- Provides integrative analysis for better decision-making and value creation
| Publisher | Wiley-Scrivener |
| Publication date | August 9, 2022 |
| Edition | 1st |
| Language | English |
| Print length | 272 pages |
| ISBN-10 | 1119775612 |
| ISBN-13 | 978-1119775614 |
| Item Weight | 1 pounds (450 grams) |
| Dimensions | 0.39 x 0.39 x 0.39 inches (1 x 1 x 1 cm) |
Who Should Buy?
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Beginners
Those new to machine learning who need a comprehensive introduction to fundamental concepts and applications.
-
Students
University or college students pursuing coursework in data science and machine learning, seeking a structured learning resource.
-
Professionals
Industry professionals looking to enhance their skills in data science applications relevant to their job roles.
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Advanced Experts
Professionals with extensive experience may find the content too basic and not aligned with their advanced needs.
Product Description
Machine Learning and Data Science: Fundamentals and Applications 1st Edition
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Product Buying Guide
Machine Learning and Data Science: Fundamentals and Applications 1st Edition is a comprehensive collection of papers written and edited by a team of experts in the field. It reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. The book addresses the extensive scope of machine learning and data science in terms of theory and applications, making it an essential resource for professionals and enthusiasts alike.
Product Specifications
- Machine Learning and Data Science: Fundamentals and Applications 1st Edition
- 1st Edition
- Written and edited by a team of experts
- Extensive scope covering theory and applications
- Reflects the most up-to-date and comprehensive current state of machine learning and data science
- Relevant for industry, government, and academia
Key Features
- Encompasses a wide range of topics in machine learning and data science
- Addresses practical transformation in various domains such as science, engineering, public sector, business, social science, and lifestyle
- Presents innovative machine learning and data science algorithms including artificial intelligence, data analytics, pattern recognition, and big data manipulation
- Tackles new scientific challenges related to data capture, storage, retrieval, analysis, and visualization
Usage Scenarios
- Ideal for professionals seeking in-depth knowledge and insights in machine learning and data science
- Valuable resource for academic researchers and students
- Applicable across various domains including science, engineering, public sector, business, and social science
Usage Scenarios
- Machine Learning: A Probabilistic Perspective
- Pattern Recognition and Machine Learning
- Data Science for Business
Some User Review
- The comprehensive coverage of topics and practical applications make this book an invaluable resource for professionals and students alike.
- The innovative algorithms and scientific challenges tackled in this book provide a fresh perspective on machine learning and data science.
Competitors
- Competitively priced compared to similar books in the market
- Offers excellent value for the depth and breadth of content provided
Buying Considerations
- Consider purchasing for a thorough understanding of machine learning and data science
- Suitable for professionals, academic researchers, and students across various domains
- Offers excellent value for the depth and breadth of content provided
Conclusion
Machine Learning and Data Science: Fundamentals and Applications 1st Edition is a comprehensive and up-to-date resource that covers a wide range of topics in machine learning and data science. It is ideal for professionals, academic researchers, and students seeking in-depth knowledge and insights in this field.
View LessMachine Learning and Data Science: Fundamentals and Applications 1st Edition is a comprehensive collection of papers written and edited by a team of experts in the field. It reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. The book addresses the extensive scope of machine learning and data science in terms of theory and applications, making it an essential resource for professionals and enthusiasts alike. Continue Reading
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Pros
- In-depth coverage of core concepts
- Hands-on practical examples provided
- Clear explanations and well-structured
- Suitable for beginners and professionals
- Comprehensive insights on real-world applications
Cons
- Occasional typographical errors
Product Price History
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€ 223
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Features & Benefits
- Written and edited by a team of experts
- Covers the most up-to-date and comprehensive current state of machine learning and data science
- Applicable to industry, government, and academia
- Encompasses areas such as artificial intelligence, data analytics, and pattern recognition
- Addresses new scientific challenges in data manipulation and decision-making
- Provides value creation through integrative analysis
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