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- An Introduction to Machine Learning
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Nº de artículo:
114015992
An Introduction to Machine Learning
86% of respondents would recommend this to a friend
Nº de artículo:
114015992
CRC 34542
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What Stands Out
Comprehensive Coverage
This edition offers a thorough exploration of machine learning principles, algorithms, and applications, providing students and professionals a solid grounding in foundational concepts.
Practical Insights
Includes real-world examples and case studies that demonstrate the application of machine learning techniques, enhancing understanding and bridging theory with practice.
Up-to-Date Content
Incorporates recent advancements and modern methodologies in machine learning, ensuring readers are informed about current trends and technologies in the field.
Detalles de producto
| Publisher | Springer |
| Publication date | September 27, 2021 |
| Edition | Third Edition 2021 |
| Language | English |
| Print length | 476 pages |
| ISBN-10 | 3030819345 |
| ISBN-13 | 978-3030819347 |
| Item Weight | 1.75 pounds (790 grams) |
| Dimensions | 6.5 x 1.25 x 9.75 inches (16.5 x 3.2 x 24.8 cm) |
Who Should Buy?
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Beginner Students
Ideal for students new to machine learning concepts, providing foundational knowledge and clear examples.
-
Professional Developers
Great for software developers who want to integrate machine learning into applications, offering practical insights.
-
Data Scientists
Supports aspiring data scientists with comprehensive coverage of algorithms and methodologies used in machine learning.
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Advanced Practitioners
Experienced machine learning professionals may find the content too basic and lacking in depth for advanced topics.
DESCRIPCIÓN DEL PRODUCTO
An Introduction to Machine Learning
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Intelligence & Semantics Editorial Review
An Introduction to Machine Learning is a comprehensive guide, published by Springer on September 27, 2021, in its third edition. This book, encompassing 476 pages, serves as an excellent resource for those keen on exploring the intricate world of machine learning. Readers can expect an in-depth approach to topics, detailed explanations, and practical examples. The book is written in English and is well-structured to cater to both beginners and advanced learners. The ISBN-10 is 3030819345, and the book weighs 1.75 pounds, making it a substantial yet manageable read.
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ventajas
- Comprehensive coverage of machine learning topics
- Well-structured for both beginners and advanced learners
- Includes practical examples for better understanding
- Published by a reputable publisher in the field
- Thorough explanations enhance learning experience
Contras
- Might be dense for absolute beginners
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CRC 34542
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