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155263348
Python Machine Learning: Python Machine Learning: A Comprehensive Beginners Guide to Learn Python Machine Learning from A-Z (Paperback)
98% of respondents would recommend this to a friend
Nº de artículo:
155263348
HNL 1080
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Python Machine Learning: A Comprehensive Beginners Guide to Learn Python Machine Learning from A-Z is one of the most comprehensive books you can ever have.
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What Stands Out
Beginner-Friendly Guide
Designed specifically for novices, this book simplifies complex concepts, making machine learning accessible, ensuring readers can easily follow along and build confidence in their skills.
Comprehensive Coverage
Covers Python machine learning from A-Z, including foundational theories and practical applications, providing a well-rounded knowledge base for readers seeking to understand the field thoroughly.
Series Approach
Part of a structured series, this book promotes gradual learning, allowing readers to progress systematically through topics, fostering deeper insights and retention while paving the way for advanced studies.
Detalles de producto
| Book format | Paperback |
| Edition | Standard Edition |
| Skill level | Beginner |
| Pages | 150 |
| Language | English |
| Brand | Alexander Bold |
| Author | Alexander Bold |
| Genre | Computing & Internet |
| Bisac subject heading | Computers |
| Series title | Python Machine Learning |
| Number in series | 1 |
| Dimensions | 9.00 x 6.00 x 1.50 in (22.9 x 15.2 x 3.8 cm) |
| Age group | Adult |
| Original languages | English |
Who Should Buy?
-
Beginners in Coding
Individuals new to programming can easily grasp foundational concepts through this comprehensive beginner-friendly guide.
-
Aspiring Data Scientists
Those aiming to enter data science will benefit from the structured learning path aimed at machine learning basics.
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Self-Paced Learners
Learners who prefer self-guided study will find this book's clear explanations and examples helpful for understanding.
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Advanced Practitioners
Experienced programmers may find the content too basic and lacking advanced concepts in machine learning techniques.
DESCRIPCIÓN DEL PRODUCTO
Python Machine Learning: Python Machine Learning: A Comprehensive Beginners Guide to Learn Python Machine Learning from A-Z (Paperback)
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Preguntas y respuestas de los clientes
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Pregunta:
Is this book suitable for complete beginners?
Respuesta: Yes, this book is structured specifically to cater to beginners in Python Machine Learning. -
Pregunta:
Will I need any prior coding experience?
Respuesta: No prior experience is required; it starts with basic syntax and builds up. -
Pregunta:
Are there exercises included in the book?
Respuesta: Yes, the book contains lots of sample code to practice and reinforce learning.
Alexander Bold All Manuals & Guides Editorial Review
Python Machine Learning: A Comprehensive Beginners Guide to Learn Python Machine Learning from A-Z is an essential resource for anyone looking to start their journey in machine learning. This paperback book, authored by Alexander Bold, is specifically tailored for beginners, making the complex world of computing and internet technology more accessible. With 150 pages, it provides crucial insights into Python machine learning techniques, dimensions of 9.00 x 6.00 x 1.50 inches, and is available in English. Readers appreciate its structured approach, which simplifies challenging concepts, making learning effective and enjoyable.
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ventajas
- Beginner-friendly content designed for easy understanding
- Well-structured chapters for smooth learning progress
- Engaging examples to illustrate complex concepts
- Concise guide offering valuable insights
- High-quality paperback format for durability
Contras
- Some may find it too basic for advanced learners
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características y beneficios
- Comprehensive guide tailored for beginners.
- Structured to simplify learning Python Machine Learning.
- Stepwise approach from basic syntax to real application.
- Includes various functions of Python and PIP.
- Suitable for Windows, macOS, and Linux users.
- Features sample code for practical experience.
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