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Artículo: AMZ-B0GCJ5WD6X
ML UNLOCKED: From Basics to Acing System Design Interviews
Format:
Kindle
Detalles del producto
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En stock
En stock
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0.84 kg
0.84 kg
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No
No
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Nuevo
Nuevo
Producto de
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- ML Unlocked is a practical and beginner-friendly guide that takes you from core machine learning concepts to real-world system design thinking, without overwhelming math or unnecessary jargon.Written in a conversational, mentor-style approach, this book focuses on building intuition first. Each concept is explained clearly, followed by realistic examples and case studies that show how machine learning is actually used in production systems and evaluated in interviews.The book starts with fundamental topics such as regression, classification, and evaluation metrics, then gradually progresses to advanced areas including neural networks, transformers, large language models, and end-to-end ML system design. You’ll explore practical case studies such as fraud detection, recommendation systems, search ranking, and real-time decision systems, problems commonly discussed in top technology companies.Unlike traditional textbooks, ML Unlocked emphasizes how to think like an ML engineer: understanding trade-offs, selecting the right model, evaluating performance correctly, and clearly communicating design decisions. The goal is not just to learn algorithms, but to understand when and why to use them.Whether you are a student, a working professional, or someone transitioning into machine learning, ML Unlocked provides a strong foundation and the confidence needed to build, explain, and design machine learning systems effectively. What you’ll learn:Core machine learning concepts explained intuitivelyPractical understanding of model selection and evaluationCommon challenges such as overfitting, underfitting, and biasReal-world machine learning case studiesEnd-to-end ML system design for interviews and industryClear introductions to neural networks, transformers, and LLMs
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