Computer vision and OpenCV: https://www.learnopencv.com/ https://docs.opencv.org/3.2.0/d9/df8/tutorial_root.html
Machine learning: https://medium.com/machine-learning-in-practice/over-200-of-the-best-machine-learning-nlp-and-python-tutorials-2018-edition-dd8cf53cb7dc https://www.kaggle.com/kanncaa1/data-sciencetutorial-for-beginners/ https://www.kaggle.com/kanncaa1/machine-learning-tutorial-for-beginners
There are also a number of classical books for both topics:
Richard Szeliski. Computer Vision: Algorithms and Applications. Springer, 2010. http://szeliski.org/Book/drafts/SzeliskiBook_20100903_draft.pdf
Gary Bradski and Adrian Kaehler. Learning OpenCV. O'Reilly, 2008. https://www.bogotobogo.com/cplusplus/files/OReilly%20Learning%20OpenCV.pdf
Ian Goodfellow, Yoshua Bengio and Aaron Courville. Deep Learning. MIT Press, 2016. https://github.com/janishar/mit-deep-learning-book-pdf
Christopher Bishop. Pattern recognition and machine learning. Springer, 2006. https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf