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Item #:
76232075
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
87% of respondents would recommend this to a friend
Item #:
76232075
DKK 526
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What Stands Out
Comprehensive Coverage
This edition provides an extensive overview of both machine learning and deep learning, making it suitable for beginners and advanced users alike, ensuring a rounded understanding of Python frameworks.
Hands-On Examples
Includes practical examples using scikit-learn and TensorFlow 2, allowing readers to apply concepts directly in coding scenarios, enhancing learning and retention through real-world applications.
Updated Content
As a 3rd edition, it incorporates the latest advancements in machine learning and deep learning methodologies, ensuring readers are equipped with contemporary insights and techniques in the evolving tech landscape.
Product Details
| Publisher | Packt Publishing |
| Publication date | 12 Dec. 2019 |
| Edition | 3rd Revised edition |
| Language | English |
| Print length | 770 pages |
| ISBN-10 | 1789955750 |
| ISBN-13 | 978-1789955750 |
| Item weight | 1.3 kg |
| Dimensions | 19.05 x 4.42 x 23.5 cm |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners looking to understand machine learning fundamentals and build a solid foundation in Python.
-
Software Developers
Great for developers wanting to integrate machine learning capabilities into existing applications using Python libraries.
-
Students and Educators
Suitable for academic purposes, providing clear explanations and practical examples for coursework or research.
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Complete Beginners
Not suitable for those with no programming background, as some prior knowledge of Python is recommended.
Product Description
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
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AI & Machine Learning Editorial Review
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition is a comprehensive resource for both aspiring data scientists and those looking to deepen their understanding of machine learning. The book, published by Packt Publishing, spans 770 pages and offers extensive coverage of TensorFlow 2.0, making it ideal for readers with technical backgrounds in fields like computer science and mathematics. While many find it a valuable reference, beginners may encounter challenges with the required coding environment, which can complicate the learning experience. However, the structured approach to complex concepts is highly praised.
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Pros
- Extensive coverage of TensorFlow 2.0
- Helpful for refreshing knowledge
- Well-structured progression of topics
- Excellent for junior data scientists
- Technical details clearly explained
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