Session Information

Don't Get Lost in the Random Forest


As more and more data is amassed, focus has increased on getting information out of the data. Data Science is becoming mainstream. Machine learning can play a key role when using Data Science to find a solution to a problem. There are numerous algorithms used to programmatically learning about and from data. Random Forest is one that is both popular and powerful. In this talk I present the theory behind Random Forests and the Decision Trees form which they are made. Consider this theory your compass. I then move on to examine the attributes of a small data set. Consider the values and the relationships between them as your map. Finally, with our compass and map in hand I look at a Random Forest implementation that makes predictions from the data without getting lost.

200 - Intermediate
Other
14:30
Lewis 306