Feb 19

On Machine Learning

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

https://paperswithcode.com/paper/finrl-a-deep-reinforcement-learning-library

OV2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications

https://paperswithcode.com/paper/ov-2-slam-a-fully-online-and-versatile-visual

Predicting with a Regression Equation

https://opentextbc.ca/introbusinessstatopenstax/chapter/predicting-with-a-regression-equation/

Chapter 4. Regression and Prediction

https://www.oreilly.com/library/view/practical-statistics-for/9781491952955/ch04.html

Loss and Loss Functions for Training Deep Learning Neural Networks

https://machinelearningmastery.com/loss-and-loss-functions-for-training-deep-learning-neural-networks/

Machine learning fundamentals (I): Cost functions and gradient descent

https://towardsdatascience.com/machine-learning-fundamentals-via-linear-regression-41a5d11f5220

NLP Getting Started Tutorial

https://www.kaggle.com/philculliton/nlp-getting-started-tutorial





How can I predict the value and and estimate the uncertainty of a single response?

https://www.itl.nist.gov/div898/handbook/pmd/section5/pmd512.htm

Prediction


https://www.itl.nist.gov/div898/handbook/pmd/section1/pmd132.htm

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