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Robin Yancey

PhD Machine Learning Engineer
PhD/Postdoc Machine Learning Engineer and Former UC Davis ML Course Instructor
United States of America 5.0 (2 reviews) Active this week Usually responds in half a day
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Services

$110 / month

Anyone who wants to learn machine learning, deep learning, and/or computer vison

4 calls per month (30min/call)

Unlimited Q&A via chat

Expect responses in 24 hours or less

Hands-on support

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About

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)

Open to inquiries

You can message Robin to ask questions before booking their services

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What mentees say

Lily

Lily

5 out of 5 stars

Session: OPEN

Robin was one of the best mentors I've ever had! Im so glad I chose to work with her over enrolling in a boring bootcamp. She is reliable and organized with her lessons, which cover all the most important topics/skills in the Machine Learning field (both hands-on coding and theory). She talked concepts through with me 1-on-1 and held me accountable for learning more each session (which worked so much better than a bootcamp because I get live help right when we are in the session). I look forward to working with her more in the future as she gives me guidance through the remainder of my education and work in industry in the field. I aced my interview and am now finishing up my degree program thanks to her help on the side. Thanks to her review questions, I had already practiced the questions they asked me in my interview. I am sure that this mentorship will continue to grow and she will be of big help when I am in my new job. Looking forward to learning more as she makes lessons both fun and informative.

Valeriya

Valeriya

5 out of 5 stars

Robin is an incredibly knowledgeable mentor with a rich background in academia. During our sessions, she shared valuable insights on improving my statement of purpose and CV. Her guidance was extremely helpful. I definitely recommend her and look forward to working together again.


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