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173224822
Python ile Makine Öğrenmesi: Temel Kavramlar - Sınıflandırma Regresyon - Kümeleme
Item #:
173224822
RWF 51092
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This book deals with all aspects of machine learning, enriched with applications for solving real-world problems in Python.
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What Stands Out
Comprehensive Coverage
This paper meticulously covers key machine learning topics, ensuring readers grasp classification, regression, and clustering concepts, making it suitable for beginners and advanced learners alike.
Hands-On Approach
Provides practical examples and Python code snippets, facilitating a hands-on learning experience that enhances understanding and application of machine learning techniques in real-world scenarios.
Up-to-Date Content
Published in January 2024, this resource includes the latest trends and advancements in machine learning, ensuring that readers are equipped with current knowledge and skills relevant to the evolving field.
Product Details
| Yayu0131ncu0131 | Seu00e7kin Yayu0131ncu0131lu0131k |
| Yayu0131nlanma Tarihi | 1 Ocak 2024 |
| Dil | Tu00fcrku00e7e |
| Basku0131 Uzunluu011fu | 516 sayfa |
| ISBN-10 | 9750290275 |
| ISBN-13 | 978-9750290275 |
| Boyutlar | 1 x 16 x 24 cm |
Who Should Buy?
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Beginners in ML
Ideal for individuals new to machine learning seeking foundational knowledge in Python applications.
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Students of Data Science
Perfect resource for data science students looking to understand core concepts through practical examples and exercises.
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Professionals Upskilling
Great for professionals wanting to enhance their skill set or transition into data-centric roles through machine learning.
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Advanced Practitioners
Not suitable for those with advanced machine learning experience seeking in-depth exploration of complex algorithms.
Product Description
Python ile Makine Öğrenmesi: Temel Kavramlar - Sınıflandırma Regresyon - Kümeleme
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RWF 51092
Order now and get it around Saturday, October 03
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Features & Benefits
- Comprehensive coverage of machine learning basics.
- Practical applications for real-world problem solving in Python.
- Easy-to-understand narrative suitable for all ages.
- Includes supervised, unsupervised, and reinforcement learning algorithms.
- Detailed discussions on model creation, evaluation, and data science.
- Part of a three-book series on Artificial Intelligence.
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