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88273339
Python Machine Learning, Third Edition
85% of respondents would recommend this to a friend
Nº de artículo:
88273339
NIO 2927
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What Stands Out
Comprehensive Insights
This edition offers in-depth coverage of machine learning concepts, ensuring readers grasp essential theories and practical applications to enhance their skills efficiently.
Hands-On Projects
Includes numerous hands-on projects that allow readers to apply their knowledge in real-world scenarios, enhancing learning and retention of complex machine learning techniques.
Updated Libraries
Features the latest Python libraries and tools, ensuring readers stay current with advancements in the field, making their skills relevant and applicable in today's job market.
Detalles de producto
| Book Title | Python Machine Learning, Third Edition |
| ISBN | 9781789955750 |
| Publication Year | 2019 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Subject Area | Computers |
| Publication Name | Python Machine Learning : Machine Learning and Deep Learning with Python, Scikit-Learn, and TensorFlow 2, 3rd Edition |
| Author | Vahid Mirjalili, Sebastian Raschka |
| Publisher | Packt Publishing, The Limited |
| Item Length | 3.6 in (9.14 cm) |
| Subject | Natural Language Processing, Neural Networks, Programming Languages / Python |
| Item Width | 3 in (7.62 cm) |
| Number of Pages | 772 Pages |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
-
Beginners in ML
Ideal for newcomers to machine learning, providing essential concepts and hands-on coding examples.
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Data Scientists
A valuable resource for data professionals looking to deepen their understanding of Python in machine learning contexts.
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Academic Learners
Great for students and researchers seeking a structured and practical approach to machine learning theories and applications.
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Advanced Users
May not suit experienced practitioners seeking in-depth, cutting-edge topics or advanced algorithms beyond basic concepts.
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Preguntas y respuestas de los clientes
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Pregunta:
What topics are covered in this book?
Respuesta: The book covers a wide range of machine learning concepts using Python, including algorithms, frameworks, and practical applications. -
Pregunta:
Is this book suitable for beginners?
Respuesta: Yes, it's designed to be accessible for beginners while also providing valuable insights for experienced professionals. -
Pregunta:
What is the publication date of the book?
Respuesta: The book was published on December 9, 2019.
Revisión editorial
Python Machine Learning, Third Edition is a comprehensive guide for those looking to delve into the world of machine learning and deep learning using Python. Authored by Vahid Mirjalili and Sebastian Raschka, this textbook not only covers fundamental concepts but also offers practical applications using Scikit-Learn and TensorFlow 2. With a substantial length of 772 pages, it provides in-depth knowledge on subjects like Natural Language Processing and Neural Networks. This edition is especially beneficial for readers who prefer a hands-on approach, as it includes numerous examples and code snippets, making complex topics more approachable for programmers of any level.
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ventajas
- In-depth coverage of machine learning concepts
- Includes practical examples and code snippets
- Covers both Scikit-Learn and TensorFlow
- Suitable for beginners and experienced programmers
- Focuses on Natural Language Processing and Neural Networks
Contras
- Might be overwhelming for complete beginners
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características y beneficios
- Authoritative insights from experts Sebastian Raschka and Vahid Mirjalili.
- Comprehensive guide with 770 pages of in-depth information.
- Perfect for both beginners and seasoned practitioners.
- Includes practical examples and applications of Python in machine learning.
- Published by reputable PACKT PUB to ensure quality and reliability.
- Lightweight paperback format for easy reading and portability.
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