Č. položky:
207943118
Python ile Pratik Makine Öğrenmesi Projeleri
Č. položky:
207943118
€ 10
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This book provides practical guidance for anyone looking to develop machine learning projects with Python.
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What Stands Out
Hands-on Projects
Engaging practical projects allow users to apply their Python skills effectively, enhancing their understanding of machine learning concepts while building a solid portfolio.
User-Friendly Guidance
Step-by-step instructions ensure accessibility for beginners, making complex machine learning topics comprehensible and manageable for all skill levels.
Real-World Applications
Focus on real-world scenarios empowers users to solve practical problems, bridging the gap between theoretical knowledge and tangible outcomes.
Detaily produktu
- “Python ile Pratik Makine Öğrenmesi Projeleri” kitabına hoş geldiniz! Bu kitap, makine öğrenmesi projeleri geliştirmek isteyen herkese pratik bir rehber sunmayı hedeflemektedir. Amaç, sizi adım adım yönlendirme yöntemiyle Python dilini kullanarak gerçek dünya projelerini nasıl hayata geçirebileceğinizi öğretmektir. Makine öğrenmesi, günümüzün en heyecan verici yapay zekâ alanlarından biridir. Veri analizi, tahmin yapma, desenleri tanıma ve otomatik karar verme gibi birçok alanda büyük bir etki yaratmaktadır. Ancak, makine öğrenmesi projeleri geliştirmek karmaşık ve zorlu olabilir. Bu kitap, bu zorlukları aşmanıza yardımcı olacak pratik bilgiler ve gerçek dünya problem çözümleri sunmayı amaçlamaktadır. Daha fazla göster
| Yayıncı | Serüven Yayınevi |
| Yayınlanma Tarihi | 1 Aralık 2023 |
| Dil | Türkçe |
| Baskı Uzunluğu | 101 sayfa |
| ISBN-10 | 6256760689 |
| ISBN-13 | 978-6256760684 |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners seeking hands-on experience in machine learning using Python through practical projects.
-
Educators and Trainers
Great resource for instructors looking to introduce machine learning concepts with practical applications to their students.
-
Enthusiastic Programmers
Perfect for developers wanting to enhance their Python skills and explore machine learning through real-world scenarios.
-
Advanced Practitioners
Not suitable for experienced machine learning professionals seeking in-depth theoretical knowledge or advanced techniques.
OPIS PRODUKTU
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Otázky a odpovede zákazníkov
-
otázka:
Is this book suitable for beginners in machine learning?
odpoveď: Yes, it provides thorough guidance for beginners. -
otázka:
Do I need prior programming experience to understand the book?
odpoveď: A basic understanding of Python will be helpful, but the book is accessible for learners. -
otázka:
What kinds of projects are included in the book?
odpoveď: The book includes a variety of real-world projects across different applications of machine learning.
Mehmet Akif Buzpınar Format: Kağıt Kapak Editorial Review
Python ile Pratik Makine Öğrenmesi Projeleri is an insightful guide published by Serüven Yayın evi on December 1, 2023. This Turkish language book spans 101 pages and weighs 1.5 lbs, making it a convenient choice for learning machine learning concepts in a practical manner. Utilizing real-world projects, the book enables readers to apply machine learning techniques hands-on. Perfect for both beginners and intermediate learners, it helps demystify complex algorithms through practical implementations, promoting a deeper understanding of the subject. Its clear structure and engaging content encourage self-paced learning, while combining theory with practical exercises to solidify knowledge.
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Pros
- Engaging practical projects for hands-on learning
- Clear explanations suitable for beginners
- Compact size for easy portability
- Updated content published in 2023
- Focus on real-world applications of machine learning
Zápory
- Limited to Turkish language readers only
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Funkcie a výhody
- Step-by-step instructions for real-world machine learning projects.
- Designed for anyone interested in machine learning.
- Focuses on using Python for effective project development.
- Addresses common challenges in machine learning projects.
- Offers practical insights and problem-solving strategies.
- Covers impactful areas like data analysis and automated decision-making.
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