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Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
GTQ 499
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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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Detalles de producto
| Item Weight | 1 lbs (450 grams) |
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.
DESCRIPCIÓN DEL PRODUCTO
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
Preguntas y respuestas de los clientes
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Pregunta:
Is this book suitable for beginners?
Respuesta: Yes, it's designed for both beginners and experienced practitioners. -
Pregunta:
What programming knowledge do I need?
Respuesta: Basic Python programming knowledge is required. -
Pregunta:
Do I need additional software to follow along?
Respuesta: You will need access to libraries such as PyTorch and TensorFlow for practical examples.
AI & Machine Learning Editorial Review
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GTQ 499
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características y beneficios
- 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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