"Machine Learning Interview Help" is a podcast designed to assist candidates who are preparing for machine learning or deep learning interviews. In this podcast, I will cover various machine learning algorithms, and explain the types of questions typically asked by interviewers during interviews for machine learning or related positions. I will explore each topic in-depth and help you understand what the interviewer is looking for based on the job description. I will also break down the math behind various machine learning topics and explain it in a way that is easy to understand.
All content for Machine Learning Interview Help (Hindi) is the property of Mr. Hulk and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
"Machine Learning Interview Help" is a podcast designed to assist candidates who are preparing for machine learning or deep learning interviews. In this podcast, I will cover various machine learning algorithms, and explain the types of questions typically asked by interviewers during interviews for machine learning or related positions. I will explore each topic in-depth and help you understand what the interviewer is looking for based on the job description. I will also break down the math behind various machine learning topics and explain it in a way that is easy to understand.
This episode discusses the orthogonal and orthonormal properties of vectors
Machine Learning Interview Help (Hindi)
"Machine Learning Interview Help" is a podcast designed to assist candidates who are preparing for machine learning or deep learning interviews. In this podcast, I will cover various machine learning algorithms, and explain the types of questions typically asked by interviewers during interviews for machine learning or related positions. I will explore each topic in-depth and help you understand what the interviewer is looking for based on the job description. I will also break down the math behind various machine learning topics and explain it in a way that is easy to understand.
