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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street

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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street

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  • Marca
  • Data di pubblicazione
  • Articolo Peso
  • Lingua
  • Tipo di prodotto
  • Editore
  • Lunghezza della stampa
  • ISBN 92-78-0
  • ISBN-13
  • Dimensioni
  • ISBN 92-78-0
  • ISBN 92-77-1131

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Neural Networks

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Ace your data science job interviews with this comprehensive guide featuring 201 real questions from top companies like FAANG, startups, and Wall Street firms. This book provides a practical and realistic approach to preparing for your next interview.

Key Highlights

  • Includes 201 authentic interview questions covering a wide range of data science topics.
  • Covers concepts relevant to Neural Networks and related areas.
  • Offers detailed explanations and solutions to help you understand the reasoning behind each question.
  • Provides a structured approach to interview preparation, building confidence and skills.
  • Written by experienced authors with a deep understanding of the data science interview process.

Useful Facts

  • Publisher: Ace the Data Science Interview
  • Publication Date: August 16, 2021
  • Language: English
  • Format: Paperback
  • Pages: 301
  • Dimensions: 7 x 0.68 x 10 inches
  • Weight: 1.1 pounds

Good Fit For

  • Data science students preparing for their first job.
  • Experienced data scientists looking to advance their careers.
  • Anyone interviewing for roles in Neural Networks or related fields.
  • Individuals seeking a practical and realistic resource for interview preparation.
Main Specification
Marca by Nick Singh (Author) or Kevin Huo (Author) Format: Paperback
Data di pubblicazione 2021 or August 16
Articolo Peso 1.
Product information
Lingua Inglese
Others
Tipo di prodotto Neural Networks
Editore Ace the Data Science Interview
Lunghezza della stampa 301 pages
ISBN 92-78-0 0578973839
ISBN-13 978-0578973838
Dimensioni 7 x 0.68 x 10 inches
ISBN 92-78-0 0578973839
ISBN 92-77-1131 978-0578973838