Ultimate data science machine par moss amon (5 résultats)

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

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

Taschenbuch. Etat : 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.…

Etat : New. Print on Demand.

Paperback. Etat : new. Paperback. 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 Inside300+ real questions from FAANG, top startups, and Wall Street - with full answer frameworksResume and portfolio strategy for the age of AI screeningStatistics, probability, and A/B testing at the depth interviewers actually testMachine learning and system design - algorithms, MLOps, production architecture, and model evaluationAdvanced SQL, Python, and data engineering - window functions, pipelines, feature stores, and cloud platformsGenerative AI and LLMs - RAG systems, agentic architectures, and LLM evaluationProduct thinking, metrics design, and case studies - the rounds most technical candidates failSenior 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…