Interview Essentials A?Z (15 risultati)

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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 293 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. The AI age is now fully in swing with the largest companies in the world all building AI hardware, developing AI software, or shipping AI-powered products. Of the current top ten companies by market capitalization, almost all are core components of the AI ecosystem. While large language models like ChatGPT and Claude are the current stars of the AI world, these products are all built atop a solid foundation of machine learning. Basic machine learning skills are thus crucial in the current technology workplace and will only become more essential in the future.Who is this book for?This book is written for engineers, machine learning scientists, data scientists, and technologists working with machine learning or trying to break into the field. It is focused on the foundational ML concepts that one must be familiar with in order to demonstrate technical proficiency and to be able to converse effectively with an interviewer.Table of Contents (in alphabetical order)A AdamB BackpropagationC ConvNetsD Decision TreesE EnsemblingF Feature ScalingG Gradient DescentH Huber LossI Information RetrievalJ JAXK k-MeansL Logistic RegressionM Multinomial LRN Naive BayesO Online LearningP PerceptronQ Q-LearningR Random ForestsS SVMT t-SNEU UnderfittingV Validation SetW Weight InitializationX XGBoostY YOLOZ Zero-Shot Learning This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Today the system design interview is the dividing line between junior, senior, and staff+ engineering candidates, and even between frontline managers, senior managers, and directors. Candidates for the highest engineering roles must have a solid command of modern system design, and even candidates for higher-level management must be able to demonstrate a grasp of it.This book is designed around the key concepts one needs to be familiar with before walking into a system design interview. Each chapter uses real-world examples to establish a mnemonic concept designed to aid one's recall in the stressful interview environment.Table of Contents (in alphabetical order)A AvailabilityB Bloom FilterC Consistent HashingD Distributed ConsensusE Event SourcingF Fault ToleranceG GeoHashingH HTTPI IdempotenceK KafkaL Load-BalancingM Merkle TreesN NoSQLO Order-of-Magnitude EstimationP PN-CounterQ QuorumR ReplicationS ShardingT TransactionsU UUIDW WebSocketsZ ZooKeeper This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. The AI age is now fully in swing with the largest companies in the world all building AI hardware, developing AI software, or shipping AI-powered products. Of the current top ten companies by market capitalization, almost all are core components of the AI ecosystem. While large language models like ChatGPT and Claude are the current stars of the AI world, these products are all built atop a solid foundation of machine learning. Basic machine learning skills are thus crucial in the current technology workplace and will only become more essential in the future.Who is this book for?This book is written for engineers, machine learning scientists, data scientists, and technologists working with machine learning or trying to break into the field. It is focused on the foundational ML concepts that one must be familiar with in order to demonstrate technical proficiency and to be able to converse effectively with an interviewer.Table of Contents (in alphabetical order)A AdamB BackpropagationC ConvNetsD Decision TreesE EnsemblingF Feature ScalingG Gradient DescentH Huber LossI Information RetrievalJ JAXK k-MeansL Logistic RegressionM Multinomial LRN Naive BayesO Online LearningP PerceptronQ Q-LearningR Random ForestsS SVMT t-SNEU UnderfittingV Validation SetW Weight InitializationX XGBoostY YOLOZ Zero-Shot Learning This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.