Machine Learning Interview Questions
Language: English
Published by Clever Fox Publishing, 2024
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 29.64
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - The book aim of Machine Learning interview questions is to determine a candidate's level ofknowledge and understanding of Machine Learning concepts, algorithms, and tools. Thesetypes of interviews are often used by employers to assess an applicant's problem-solvingskills and technical proficiency in the field.The scope of scope of this book Machine Learning interview questions can range from basicto more complex topics, such as the fundamentals of supervised and unsupervised learning,working with data sets and libraries, building ML models, and deploying and monitoring MLsystems. Additionally, the interviewer may ask questions about the candidate's experiencewith specific Machine Learning frameworks, data science techniques, and softwareengineering practices.Overall, this book helps to assess the candidate's level of knowledge and experience in thefield of Machine Learning. As such, it is important for the interviewer to ask questions thatare relevant to the job and the candidate's qualifications, as well as to provide a supportiveenvironment where the candidate can demonstrate their skillset.…
Seller Inventory # 9789356488397
- Title
- Machine Learning Interview Questions
- Author
- Veena A
- Publisher
- Clever Fox Publishing
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9356488398
- ISBN 13
- 9789356488397
- Item weight
- 488 grams
- Dimensions
- 229x152x15 mm
The book aim of Machine Learning interview questions is to determine a candidate's level of
knowledge and understanding of Machine Learning concepts, algorithms, and tools. These
types of interviews are often used by employers to assess an applicant's problem-solving
skills and technical proficiency in the field.
The scope of scope of this book Machine Learning interview questions can range from basic
to more complex topics, such as the fundamentals of supervised and unsupervised learning,
working with data sets and libraries, building ML models, and deploying and monitoring ML
systems. Additionally, the interviewer may ask questions about the candidate's experience
with specific Machine Learning frameworks, data science techniques, and software
engineering practices.
Overall, this book helps to assess the candidate's level of knowledge and experience in the
field of Machine Learning. As such, it is important for the interviewer to ask questions that
are relevant to the job and the candidate's qualifications, as well as to provide a supportive
environment where the candidate can demonstrate their skillset.
"Synopsis" may belong to another edition of this title.
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