Machine Learning litteraturliste

Dette er sektionen for det litteratur jeg har anvendt til at få en grundlæggende forståelse for Machine Learning og den teori bag:

Machine Learning for Absolute Beginners: A Plain English Introduction (First Edition) af Oliver Theobald (February 18, 2017)

Introduction to Machine Learning with Python – A guide for data scientists af Sarah Guido

https://www.linkedin.com/learning/data-science-foundations-fundamentals-5/machine-learning?u=57075649

https://becominghuman.ai/machine-learning-for-dummies-explained-in-2-mins-e83fbc55ac6d

https://www.techopedia.com/definition/33696/unlabeled-data

http://www.annytab.com/neural-network-classification-in-python/

machinelearningmastery.com/tutorial-first-neural-network-python-keras/

scikit-learn.org/stable/modules/neural_networks_supervised.html

http://www.analyticsvidhya.com/blog/2017/12/fundamentals-of-deep-learning-introduction-to-lstm/

https://www.linkedin.com/learning/azure-machine-learning-development-1-basic-concepts/welcome?u=57075649

https://learn.datacamp.com/courses/supervised-learning-with-scikit-learn

https://learn.datacamp.com/courses/unsupervised-learning-in-python

https://www.dezyre.com/article/top-10-machine-learning-algorithms/202