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Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
IDR 1193683
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Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.
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What Stands Out
Rincian Produk
| Publisher | Packt Publishing |
| Publication date | 31 July 2024 |
| Edition | 4th |
| Language | English |
| Print length | 518 pages |
| ISBN-10 | 1835085628 |
| ISBN-13 | 978-1835085622 |
| Item weight | 960 g |
| Dimensions | 19.05 x 3.02 x 23.5 cm |
Who Should Buy?
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Aspiring Data Scientists
Perfect for beginners looking to understand machine learning concepts through practical examples and real-world applications.
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Software Engineers
Ideal for developers wanting to incorporate machine learning into their software projects and enhance their technical skill set.
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Educators and Trainers
Great resource for instructors designing courses or workshops focused on practical applications of machine learning techniques.
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Advanced Practitioners
Not suitable for expert users seeking in-depth theoretical knowledge or advanced machine learning methodologies and algorithms.
DESKRIPSI PRODUK
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
Tanya & Jawab Pelanggan
-
pertanyaan:
Is this book suitable for beginners?
menjawab: Yes, it's designed for both beginners and experienced practitioners. -
pertanyaan:
What programming knowledge do I need?
menjawab: Basic Python programming knowledge is required. -
pertanyaan:
Do I need additional software to follow along?
menjawab: You will need access to libraries such as PyTorch and TensorFlow for practical examples.
AI & Machine Learning Editorial Review
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IDR 1193683
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PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Fitur & Manfaat
- 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.
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