$240 / month
2 calls per month (30min/call)
Unlimited Q&A via chat
Expect responses in 3-4 days
Cancel anytime
One-off sessions with Robin
One-off sessions are a great option if you’re looking for specific advice on a certain topic.
If you're looking for a mentor, and you're just not sure about how this all works – this one is for you. In a casual, informal introductory call, a mentor will introduce themselves, show you around the platform, explain how our mentorships work, and explain …
Having a good resume on hand when going on the job hunt is crucial, and will make your search a lot easier. Even if you're not looking for a new position right now, having an up-to-date CV that sells your experience to future potential employers …
Hi! My name is Robin. I have PhD and MS degrees in Computer Science and Electrical Engineering from UC Davis, where I was employed as the full instructor for the undergraduate Machine Learning Course. Afterwards, I completed a Machine Learning PostDoc at LLNL working on NIF during the recent world breakthrough achieving nuclear fusion. Throughout my university and postdoc research I not only published dozens of papers, but also developed many popular frameworks in Machine Learning, Deep Learning, Computer Vision, and Data Science.
I do any type of mentoring/consulting (eg. PhD research projects, industry); ask me what you need help with! I also offer 3 different series of lessons (Python, ML, and DL). Some topics covered include the following:
Machine Learning:
- KNN, Decision Trees (including random forest, bagging, boosting), PCA, SVM, Linear and Polynomial Models (including GLM), Neural Networks (all both code in sklearn and mathematical theory)
- Prepare data for ML using Pandas (handle NAs, missing values, data type issues etc.)
- Core concepts: classification/regression, dimensionality reduction, over/under-fitting, k-fold testing, proper results/accuracy presentation, parallelization, hyper-parameter optimization, class imbalance, scaling and handling outliers
Deep Learning:
- Apply DL models in PyTorch, Tensorflow, Keras, and Scikit-Learn
- Build full train/test/eval frameworks
- Understand how to choose loss functions, optimizers, and other DL hyperparameters
- Transfer Learning (and how to retrain or fine-tune off-the-shelf top models for other tasks)
- CNN, Transformers architecture breakdown and how to implement (eg. ViT, Swin, HuggingFace models etc.)
- Image classification, object detection, NLP
- GPU training, handling large tensor data, handling class imbalance
- Data transformations, augmentation
- Results analysis/reporting/plotting
Python:
- Basics
- LeetCode problems and Interview prep (eg. Trees, Linked Lists, time-complexity, sorting)
5 out of 5 stars
Another great session with Robin. She is always prepared and has helpful teaching materials. She is very patient with me when I don't immediately understand concepts. I will definitely continue to work with her for weekly sessions; she has endless machine learning and deep learning materials. I can also ask her questions about my research and will probably have her help me moire on my research projects. I can definitely build up my resume with her help, mentorship, and guidance. I feel like I learned so much in just one session! Looking forward to more and deep diving into this new exciting field. Companies have already contacted me to setup interviews as they saw my ML practice work I did with her.
5 out of 5 stars
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!
5 out of 5 stars
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!
Notify me when Robin has new spots
We will send you a quick email if Robin has new open spots for mentorship, and only in that case!
Book an intro call with Robin
Connect with Robin in a quick call (usually under 30 minutes)