togetheretc of coursethe unsupervised learning ai itself cannot label these groups as "chairsor "dogsbut now that similar images are grouped togetherhumans have much simpler labeling task instead of labeling millions of images by handhumans can manually label all the distinct groupsand the labels will apply to all the members within each group after the initial trainingif the unsupervised learning ai finds images that do not belong to any of the labeled groupsthe ai will create separate groups for the unclassified imagestriggering human to label the newyet-to-be-labeled groups of images unsupervised learning makes previously intractable problems more solvable and is much more nimble at finding hidden patterns both in the historical data that is available for training and in future data moreoverwe now have an ai approach for the huge troves of unlabeled data that exist in the world even though unsupervised learning is less adept than supervised learning at solving specificnarrowly defined problemsit is better at tackling more open-ended problems of the strong ai type and at generalizing this knowledge just as importantlyunsupervised learning can address many of the common problems data scientists encounter when building machine learning solutions using unsupervised learning to improve machine learning solutions recent successes in machine learning have been driven by the availability of lots of dataadvances in computer hardware and cloud-based resourcesand breakthroughs in machine learning algorithms but these successes have been in mostly narrow ai problems such as image classificationcomputer visionspeech recognitionnatural language processingand machine translation to solve more ambitious ai problemswe need to unlock the value of unsupervised learning let' explore the most common challenges data scientists face when building solutions and how unsupervised learning can help insufficient labeled data think ai is akin to building rocket ship you need huge engine and lot of fuel if you have large engine and tiny amount of fuelyou won' make it to orbit if you have tiny engine and ton of fuelyou can' even lift off to build rocket you need huge engine and lot of fuel --andrew ng using unsupervised learning to improve machine learning solutions