The most cited deep learning papers
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Updated
Jan 18, 2024 - TeX
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
The most cited deep learning papers
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
《Machine Learning Systems: Design and Implementation》- Chinese Version
It is open source ebook about TensorFlow kernel and implementation mechanism.
List of articles related to deep learning applied to music
《机器翻译:基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
Pen and paper exercises in machine learning
A selection of state-of-the-art research materials on trajectory prediction
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Resources for Data Centric AI
My Reading Lists of Deep Learning and Natural Language Processing
Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich
Bootcamp to learn Python for Machine Learning
An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
Living Review of Machine Learning for Particle Physics
LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Курс по квантовому машинному обучению