Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

MIA KARTS BOOKS

Machine Learning Interviews: Kickstart Your Machine Learn...
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    Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

    $95.00 CAD
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    Book Details

    Format
    Paperback
    Language
    English
    Category
    Job Hunting
    Condition
    New
    ISBN-13
    9781098146542
    ISBN-10
    1098146549

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    Product description

    ISBN: 1098146549

    Author: Chang, Susan Shu

    Condition: New

    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

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    Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

    $95.00 CAD
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