Image credits

Some of the images in the book are for illustrative purposes only. For more information refer to the links as follows:

• Support Vector Machines Explained, Tristan Fletcher (https://static1.squarespace.com/static/58851af9ebbd1a30e98fb283/t/58902fbae4fcb5398aeb7505/1485844411772/SVM+Explained.pdf
• How Are Principal Component Analysis And Singular Value Decomposition Related?, Andre Perunicic (https://intoli.com/blog/pca-and-svd/
• Random Forest Classifier – Machine Learning, Balazs Holczer (http://www.globalsoftwaresupport.com/random-forest-classifier-bagging-machine-learning/)
• Machine Learning for Recommendation,  Dr. Rana Forsati (http://www.cse.msu.edu/~forsati/)
• Approaches to analyse and interpret biological profile data, Matthias Scholz (http://phdthesis-bioinformatics-maxplanckinstitute-molecularplantphys.matthias-scholz.de/)
• K Means, Image Courtesy of Michael Jordan (http://stanford.edu/~cpiech/cs221/handouts/kmeans.html)