
Sách Machine Learning Interviews Kickstart Your Machine Learning and Data Career (sách keo gáy, bìa mềm)
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
Categories:Computers - Artificial Intelligence (AI)
Year:2024
Edition:1
Language:english
Pages:310