Machine learning systems engineering (127 Ergebnisse)

Paperback. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Paperback. Zustand: Very Good. There is a growing need for professionals with experience in working on machine learning engineering requirements along with knowledge of automating complex MLOps pipelines in the cloud. This book will help you explore a variety of AWS services that ML practitioners can use to solve various ML engineering requirements and challenges in production.…

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

paperback. Zustand: Very Good.

paperback. Zustand: Fine.

Hardcover. Zustand: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly. …

Hardcover. Zustand: New. 2. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.

Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

hardcover. Zustand: Very Good. Cover and edges may have some wear.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. pp. 80.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware - Unlock the secrets to a safer digital world with AI SOC Engineering. This transformative guide offers a comprehensive approach to integrating artificial intelligence within Security Operations Centers, revolutionizing how we perceive cyber defense. Crafted by an industry expert with over 25 years of experience, this book paves the way for innovation in cybersecurity. Dive deep into the dynamics of AI-enhanced cybersecurity strategies that empower you to detect and eliminate threats in real-time. This is not just about awareness, but about mastering advanced technologies to control and prevent cyber incidents with unmatched precision. Experience a profound shift in how you safeguard digital assets. Whether you're a beginner eager to learn the essentials or an expert looking to enhance your knowledge, this book has something valuable for everyone. Equip yourself with tools and techniques to vastly improve your cybersecurity frameworks and responses. Learn the art of designing sophisticated, AI-driven SOC architectures that transform your approach to cyber threats. In today's rapidly evolving digital landscape, the ability to proactively defend against ever-changing threats is paramount. The value of this book lies in its implementation guide, meticulously designed to equip industry professionals with practical wisdom and actionable strategies. Whether it's autonomous incident response or enterprise-scale transformations, gain expertise to streamline operations and enhance security infrastructures. Experience benefit-rich insights that lead to smoother and more intelligent security processes.» Master the principles of high-speed threat correlation» Build autonomous systems for incident responses» Implement real-time threat detection architectures» Optimize Security Operations with AI-driven models» Transform your SOC into a next-gen security powerhouse» Collaborate effectively for enhanced threat intelligence>Authored by a seasoned veteran in ICT, with a profound knowledge of AI and cybersecurity, the guidance within these pages is both credible and impactful. Professional services and expert consultations are also referenced for those pursuing further growth. Secure your copy today and begin crafting a more resilient cyber defense strategy. Don't wait until it's too late-defend your digital future now.…

Zustand: acceptable. Ausreichend/Acceptable: Exemplar mit vollständigem Text und sämtlichen Abbildungen oder Karten. Schmutztitel oder Vorsatz können fehlen. Einband bzw. Schutzumschlag weisen unter Umständen starke Gebrauchsspuren auf. / Describes a book or dust jacket that has the complete text pages (including those with maps or plates) but may lack endpapers, half-title, etc. (which must be noted). Binding, dust jacket (if any), etc may also be worn.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - The Data Science Interview Has Changed. Most Prep Books Haven't.In 2026, top companies don't just test algorithms. They test whether you can design production ML systems, reason about experiments at scale, write SQL that performs on billions of rows, work fluently with LLMs and agentic architectures, and communicate findings to people who don't share your technical background.This playbook was built around that reality - not the interview landscape of three years ago.What's Inside- 300+ real questions from FAANG, top startups, and Wall Street - with full answer frameworks- Resume and portfolio strategy for the age of AI screening- Statistics, probability, and A/B testing at the depth interviewers actually test- Machine learning and system design - algorithms, MLOps, production architecture, and model evaluation- Advanced SQL, Python, and data engineering - window functions, pipelines, feature stores, and cloud platforms- Generative AI and LLMs - RAG systems, agentic architectures, and LLM evaluation- Product thinking, metrics design, and case studies - the rounds most technical candidates fail- Senior and staff-level strategy - technical leadership, organizational influence, and salary negotiation Who This Is ForWhether you are breaking into data science, targeting a step up at a better company, or preparing for a FAANG loop - this book gives you the frameworks, mental models, and answer structures to handle any question the interview throws at you.'The only prep book I found that actually reflects how hiring has changed. The system design and LLM chapters alone are worth the price.''What separates this from every other book is that it teaches you how to think, not just what to say.'If you have a data science interview in the next 90 days, this is the book you need.…

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. pages cm.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New. In English.

Hardcover. Zustand: Fine.

Paperback. Zustand: Brand New. 325 pages. 9.26x7.38x9.25 inches. In Stock.

Zustand: New. In English.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingArtificial intelligence is moving from experimental research into performance-critical, real-world systems. As models grow larger and deployment environments become more constrained, traditional high-level tooling alone is no longer enough. Teams need software that is fast, memory-efficient, and reliable under production workloads. Rust is emerging as one of the most powerful languages for building the next generation of AI infrastructure.Rust for AI and Applied Machine Learning: Engineering High-Performance Systems provides a practical, engineering-focused guide to building AI and machine learning systems using Rust. Instead of focusing only on theory or model training, this book shows how to design, build, and optimize the software layer that makes modern AI usable at scale.You will learn how to integrate Rust into machine learning pipelines, accelerate inference workloads, and build safe, concurrent systems that support real-time AI applications. The book bridges the gap between data science and systems engineering, making it ideal for teams building production AI platforms, trading systems, robotics software, or large-scale data processing engines.Inside, you will explore: - Rust fundamentals tailored for AI and ML workloads- High-performance data processing and numerical computing patterns- Interfacing Rust with Python, C++, and existing ML ecosystems- Memory safety and concurrency for real-time AI systems- Building inference engines, data pipelines, and model serving infrastructure- Performance profiling and low-latency optimization techniques- Designing reliable AI services for production environmentsWhether you are a machine learning engineer looking to improve system performance, a backend engineer moving into AI infrastructure, or a quantitative developer building intelligent trading systems, this book provides a clear roadmap for using Rust to build fast, reliable, and scalable intelligent software.Rust is not just another language in the AI stack. It is becoming a foundation layer for teams that need performance, safety, and long-term maintainability in intelligent systems. This book shows you how to apply it where it matters most. …