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제품번호 #:
118405976
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases Paperback – 31 July 2024
제품번호 #:
118405976
KRW 61199
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What Stands Out
Real-World Use Cases
Provides practical examples to illustrate machine learning concepts, enhancing understanding and retention through applicable scenarios that reflect real industry challenges.
Best Practices
Equips readers with proven techniques and strategies to effectively implement machine learning projects, ensuring optimal results and minimizing common pitfalls associated with data science endeavors.
Comprehensive Guide
Covers a wide range of machine learning topics, making it suitable for both beginners and experienced practitioners, thus fostering a deeper insight into various machine learning applications.
제품 세부 정보
| Publisher | Packt Publishing |
| Publication date | 31 July 2024 |
| Edition | 4. |
| Language | English |
| Print length | 518 pages |
| ISBN-10 | 1835085628 |
| ISBN-13 | 978-1835085622 |
| Dimensions | 19.05 x 3.02 x 23.5 cm |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for newcomers wanting practical insights into machine learning through hands-on examples and real-world applications.
-
Developers Transitioning
Perfect for software developers looking to enhance their skills by incorporating machine learning into existing projects.
-
Tech Enthusiasts
Great for enthusiasts eager to understand machine learning strategies along with practical implementation scenarios.
-
Beginners in Coding
Not suitable for complete beginners who lack basic programming knowledge and fundamentals of Python coding.
-
Advanced Practitioners
Less beneficial for experienced machine learning experts seeking advanced theories or cutting-edge research methodologies.
-
Non-technical Users
Not recommended for individuals without a technical background who may struggle with programming concepts and applications.
제품 설명
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases Paperback – 31 July 2024
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고객 질문 및 답변
-
의문:
Is this book suitable for beginners?
답변: Yes, it's designed for both beginners and experienced practitioners. -
의문:
What programming knowledge do I need?
답변: Basic Python programming knowledge is required. -
의문:
Do I need additional software to follow along?
답변: You will need access to libraries such as PyTorch and TensorFlow for practical examples.
English edition Yuxi (Hayden) Liu Editorial Review
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장점
- Easy to understand examples
- Covers real-world applications
- Focuses on best practices
- Engaging writing style
- Well-structured content
단점
- Some concepts may require prior knowledge.
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KRW 61199
이 제품은 Ubuy에서 이행되지 않으며 배송에 최소 10일이 소요될 수 있습니다. 이 제품의 배송에 문제가 발생할 경우 주문에서 제품 취소 및 환불이 가능할 수 있습니다.
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특징 및 장점
- Comprehensive guide for all levels in machine learning.
- Emphasizes machine learning best practices throughout.
- Includes hands-on examples using PyTorch, TensorFlow, and scikit-learn.
- Covers advanced techniques like NLP transformers and multimodal models.
- Provides insights from an experienced Google ML engineer.
- Free PDF copy included with print or Kindle purchase.