topic modeling was first developed and is easier to understand in the case of textbut in computer vision pattern recognitionwe will see how some of these techniques may be applied to images as well topic models are very important in most of modern computer vision research in factunlike the previous this was very close to the cutting edge of research in machine learning algorithms the original lda algorithm was published in scientific journal in but the method that gensim uses to be able to handle wikipedia was only developed in and the hdp algorithm is from the research continues and you can find many variations and models with wonderful names such as the indian buffet process (not to be confused with the chinese restaurant processwhich is different model)or pachinko allocation (pachinko being type of japanese gamea cross between slot-machine and pinballcurrentlythey are still in the realm of research in few yearsthoughthey might make the jump into the real world we have now gone over some of the major machine learning models such as classificationclusteringand topic modeling in the next we go back to classificationbut this time we will be exploring advanced algorithms and approaches