Robin Yancey

Dr. Yancey is a cheerful, friendly, and kind tutor. She is currently working with my son on a machine-learning project that is looking at the problem of detecting forged photos. We like working with Robin as she not only explains machine learning but also explains the mathematical theory behind the models. She is patient and extremely well-prepared for the sessions with detailed slides, notes, and lectures. This makes sense as she created two machine-learning classes during her time at UC Davis and they are still using her content for the classes today! For anyone looking for her to tutor, she is very knowledgeable in machine learning and deep learning. She is also very skilled in Python and various machine-learning libraries such as PyTorch, Sklearn, Pandas, and NumPy. The only regret I have with Dr. Yancey is that I didn't hire her earlier!

I have been working with Robin bi-weekly for many months now. I had began doing an online course/credential/bootcamp program but I am so glad I continued to work with Robin instead. Her course lessons aligned with the general ML algorithms I needed to learn and I aced my interview questions when they asked about them! It was so much easier to understand the theory with her examples and having opportunity to talk things out with her. Additionally, I am so grateful that her lesson notes taught me how to implement each algorithm in code as well. She also helped me with a python and LeetCode problems. (These were also in my interview and I did really well!) We normally do one session per week on python and one on ML. I didn’t know Python before working with her and now I’m a master at medium-hard LeetCode problems. She covered everything from basic to advanced data’s structures and algorithms in Python. It was much easier with someone to hold me accountable for writing quality code consistently. I learned Python much quicker than I could imagine! I’m really looking forward to continuing to learn deep learning with her while I work in my current SW engineering position. She has a lot of experience in the top models used and knows efficient techniques to optimize them based on her past research work.