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Nº de artículo:
87813177
Machine Learning In Python: Hands On Machine Learning With Python Tools, Co...
96% of respondents would recommend this to a friend
Nº de artículo:
87813177
NIO 1837
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Hands-On Machine Learning with Python Tools, Concepts, and Techniques
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What Stands Out
Practical Approach
Focuses on hands-on machine learning projects, enabling learners to apply concepts directly using Python tools for effective understanding and skills enhancement.
Comprehensive Coverage
Covers a wide range of machine learning topics, ensuring readers gain a solid foundation and advanced techniques in a single resource.
User-Friendly Format
Designed for beginners and professionals alike, the book breaks down complex concepts into digestible segments with real-world applications and examples.
Detalles de producto
| Book Title | Machine Learning In Python: Hands On Machine Learning With P... |
| ISBN | 9781922300959 |
| Subject Area | Computers |
| Publication Name | Machine Learning in Python : Hands on Machine Learning with Python Tools, concepts and Techniques |
| Publisher | Abiprod |
| Item Length | 8.3 in (21.08 cm) |
| Subject | Machine Theory, Intelligence (Ai) & Semantics, Programming Languages / Python |
| Publication Year | 2019 |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Item Height | 0.4 in (1.02 cm) |
| Author | Bob Mather |
| Item Weight | 10.8 Oz (306.18 grams) |
| Item Width | 5.8 in (14.73 cm) |
| Number of Pages | 126 Pages |
Who Should Buy?
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Beginners in ML
Ideal for those new to machine learning, providing practical examples and hands-on coding experience.
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Python Developers
Perfect for Python developers looking to expand their skill set with machine learning tools and techniques.
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Data Science Students
Beneficial for students pursuing data science, offering real-world applications and comprehensive project guidance.
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Advanced Users
Not suitable for experienced users seeking deep theoretical insights or advanced machine learning concepts.
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Respuesta: The book was published on July 15, 2019. -
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What is the weight of the book?
Respuesta: The book weighs 0.67 lbs.
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ventajas
- Practical hands-on approach
- Comprehensive coverage of topics
- Clear and easy to understand
- Great for beginners and experts
- Useful examples and projects
Contras
- Some topics may require prior knowledge.
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características y beneficios
- Comprehensive guide to machine learning in Python.
- Written by expert author Bob Mather.
- Features practical tools and techniques to enhance learning.
- Ideal for beginners and experienced programmers alike.
- Hardcover edition ensures durability and longevity.
- Compact size for easy handling and reading.
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