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An eager and humble learner


💬The knowledge sea is vast, and I only know a little about it. Every day is a chance to learn and explore new things with engagement and commitment.

🌱 I am Tran Le, a Ph.D. candidate from the Department of Data Science at UMMC. I'm eager to learn Machine Learning and Data Science.

🔭 I’m currently working on Machine Learning and Bayesian projects.

⚒️ Languages-Frameworks-Tools ⚒️



Tran Le's Projects

hyde icon hyde

A brazen two-column theme for Jekyll.

learn_bcnn_book icon learn_bcnn_book

This is a blog that contains jupyter notebooks that I have been practicing when I read the book [Probabilistic Deep Learning With Python, Keras and TensorFlow Probability by Oliver Dürr, Beate Sick, and Elvis Murina](https://www.manning.com/books/probabilistic-deep-learning), the table of content to the book's jupyter notebook files can be found from [here](https://tensorchiefs.github.io/dl_book/).

learn_fastai icon learn_fastai

A personal brief note for learning fastai given by Jeremy Howard

read_ml_book icon read_ml_book

Note written when I read the book "The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition"

xaringan icon xaringan

Presentation Ninja 幻灯忍者 · 写轮眼

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