Machine Learning Interviews: Kickstart Your Machine Learning Career: Kickstart Your Machine Learning and Data Career - Brossura

Chang, Susan Shu

Brossura

ISBN 10: 1098146549 ISBN 13: 9781098146542

Casa editrice: O'Reilly Media, 2023

Riassunto

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process.

Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way. You'll quickly understand how to successfully navigate your way through typical ML interviews.

This guide shows you how to:

• Explore various machine learning roles, including ML engineer, applied scientist, data scientist, and other positions
• Assess your interests and skills before deciding which ML role(s) to pursue
• Evaluate your current skills and close any gaps that may prevent you from succeeding in the interview process
• Acquire the skill set necessary for each machine learning role
• Ace ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questions
• Prepare for interviews in statistics and machine learning theory by studying common interview questions

Dettagli dell'edizione

• Editore: O'Reilly Media
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1098146549
• ISBN 13: 9781098146542
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 286
• Contatto del produttore: O'Reilly; https://oreilly.com; ; 1005 Gravenstein Highway North; Sebastopol; CA; 95472; U.S.A.
• Persona responsabile: Buchpark GmbH; gpsr@buchpark.de; ; Krügerweg 1; Trebbin; Brandenburg; 14959; Germania