Machine Learning Fundamentals Interview (1 hour)

About this listing
The purpose of this interview is to prepare candidates for a machine-learning interview problem solving question that they may get from a FAANG interviewer. For prepration, please be familiar with the fundamentals of machine learning. Specifically common algorithms, various forms of deep nets, linear regression, decision trees, etc... Also be prepared to be comfortable with common terminology such as precision, recall, under and over fitting.
This interview is intended to target L3, L4, or L5 candidates. On request a more in-depth interview can be prepared.
The interview itself will be forty-five minutes, with a follow-up fifteen minutes of discussion and feedback.
About the Provider

Alphabet (Google)
United States
I am a Staff Engineer at Waymo, formerly known as the Google self-driving car program, under the Alphabet umbrella.
I'm a robotics generalist with specializations in computer vision, machine learning, and low-latency software optimization. If you need help with Python, C++, computer vision, or machine learning please reach out!
For more information, go to www.joshmanela.me(3 reviews)
Y Y
23rd Mar 20255.00
Humble and knowledgable, great talk
Setu Shah
14th Feb 20255.00
Great session, he helped me understand the kind of details that can be asked and how I should prepare them
Phoenix Z
26th Mar 20245.00
Joshua was an exceptionally helpful interviewer, demonstrating a thorough understanding of the interview process and the standards required for successful outcomes. His insights into the structure of interviews and his targeted advice were instrumental in navigating the process effectively.
$160.00
Choose a date to see available time slotsTime zone
(GMT-11:00) Alofi
10:05 AM
Available time slots
9:30 PM to 10:30 PM
10:00 PM to 11:00 PM
10:30 PM to 11:30 PM
11:00 PM to 12:00 AM
Cancellation Policy
• Cancel within 24 hours after the booking is accepted to get a full refund.• Requesting for a reschedule is free.Learn more
Any doubts on the interview? Let's talk