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Item #:
170012730
Makine Öğrenmesi: Teorik Yönleri ve Pyhton Uygulamaları İle Bir Yapay Zeka Ekolü
Item #:
170012730
NGN 32564
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Learning the basic information in this book will enable people who want to develop applications with Deep Learning, a subfield of machine learning, to create an important infrastructure.
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What Stands Out
Comprehensive Insights
Offers extensive coverage of both theoretical aspects and practical applications of machine learning, ensuring readers grasp the full scope of the subject.
Python Focus
Integrates Python applications, providing readers with hands-on experience and real-world examples to enhance their understanding and skills in machine learning.
Educational Resource
Serves as an invaluable resource for students and educators alike, catering to both newcomers and individuals seeking to deepen their AI knowledge.
Product Details
| Yayu0131ncu0131 | Nobel Akademik Yayu0131ncu0131lu0131k |
| Yayu0131nlanma Tarihi | 4 Mart 2020 |
| Basku0131 | 3. |
| Dil | Tu00fcrku00e7e |
| Basku0131 Uzunluu011fu | 312 sayfa |
| ISBN-10 | 6050331766 |
| ISBN-13 | 978-6050331769 |
| Boyutlar | 15 x 2 x 21.5 cm |
Product Description
Makine Öğrenmesi: Teorik Yönleri ve Pyhton Uygulamaları İle Bir Yapay Zeka Ekolü
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NGN 32564
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Features & Benefits
- Comprehensive guide to Machine Learning and Deep Learning.
- Covers theoretical aspects vital for understanding algorithms.
- Practical applications developed using Python's rich libraries.
- Perfect for both beginners and those currently developing applications.
- Includes topics from linear algebra and statistics for foundational knowledge.
- Enhances the ability to understand deep learning architectures.
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