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Artículo: AMZ-B0FHQDCH9B
Machine Learning Interview Mastery 2025: Master AI System Design with Real-World Case Studies, Architecture Blueprints, and Hiring Insider Secrets
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Paperback
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En stock
En stock
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0.73 kg
0.73 kg
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Sí
Sí
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Nuevo
Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- Crack the Machine Learning Interview with Confidence — Architect Systems, Impress Hiring Panels, and Land Your Dream ML Role in 2025.Whether you're aiming for a machine learning role at a top tech company, cutting-edge AI startup, or enterprise AI team, the expectations have changed. Today's interviews demand more than algorithmic knowledge — they require systems thinking, real-world architecture fluency, and business-aligned decision making.Machine Learning Interview Mastery 2025 is your complete preparation guide to thrive in this new era of AI hiring. Authored by seasoned ML architect and mentor Amon Moss, this book blends deep technical expertise with actionable frameworks and real-world case studies used in actual interview panels.What’s Inside:✅ A 10-step framework for designing scalable, real-world ML systems✅ 10+ architecture case studies: from LLM-powered document search to real-time content moderation✅ Interview-ready patterns for edge deployment, online learning, and MLOps best practices✅ Advanced topics: prompt optimization, model drift detection, feature stores, and A/B testing✅ Insider tips on whiteboarding, system design storytelling, and handling pressure✅ A library of design templates and evaluation cheatsheets to use right before your next interviewWritten in a clear, professional tone, this book helps both aspiring and experienced ML engineers move beyond toy models and into real-world AI system design — the skill set top employers care about most.Whether you're brushing up before interviews, mentoring others, or planning your next role, this guide will raise the bar on how you think about ML architecture and hiring success.Don’t just memorize models — master the machine learning interview. Scroll up and grab your copy today.
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$56,89
49% OFF
$29,18
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