Machine Learning is improving at being able to analyze data and find patterns in it, but does machine learning have the capabilities to predict something subjective like a movie’s rating using exclusively objective data such as actors, directors, genres, and their runtime? Previous research has shown the profit and performance of actors on certain genres are somewhat predictable. Other studies have had reasonable results using subjective data such as how many likes the actors and directors have on Facebook or what people say about the movie on Twitter and YouTube. This study presents several machine learning algorithms using data provided by IMDb in order to predict the ratings also provided by IMDb and which features of a movie have the biggest impact on its performance. This study found that almost all conducted algorithms are on average 0.7 stars away from the real rating which might seem quite accurate, but at the same time, 85% of movies have ratings between 5 and 8, which means the importance of the data used seems less relevant.

Sydskandinaviska hällristningar har varit av stort intresse för arkeologin under en längre tid. Cirkelmotiv och skepp är några av de vanligaste hällristningsmotiven och detta har resulterat i att en mängd studier har publicerats genom åren. Olika forskare försöker att komma närmare ristningarna på olika plan. Det rör sig om olika symboliska ingångar, men också de mer objektiva ingångarna som datering och utbredningar. Istället för en fördjupning i hällristningarnas betydelser, ägnar sig denna studie åt att studera hur forskningen ser ut inom detta fält. Olika forskares arbeten presenteras vilka skiljer sig i metodiker och teoretiska ingångar. En del är publicerade i fel tid, vilket menas att de avviker från den dåvarande forskningstrenden. Resultatet av det kan variera. En del tenderar att hamna i skuggan av de som följer trenden, men blir relevanta efter sin tid. Studien försöker således att se till vad som händer med forskningen som avviker och även vad de teoretiska ingångarna grundar sig i. / South Scandinavian rock carvings have been of great interest to archaeology for a long time. Circular motifs and ships are some of the most common motifs and this has resulted in a number of studies being published over the years. Different researchers try to get closer to the carvings on different levels. These are various symbolic inputs, but also the more objective inputs such as dating and distributions. Instead of an in-depth look at the meanings of the rock carvings, this study devotes itself to studying what research looks like in this field. The works of various researchers are presented, which differ in methodologies and theoretical inputs. Some are published at the wrong time, which means that they deviate from the current research trend of their time. The result of it may vary. Some tend to be overshadowed by those who follow the trend, but become relevant after their time. The study thus tries to see what happens with the research that deviates and also what the theoretical inputs are based on.