Predictive Modeling
This lesson is about predictive modeling. What is predictive modeling? Predictive modeling is a process of modeling historical data for predicting future events.
MapReduce
MapReduce is a powerful system that can perform some of the methods we have talked about so far. On big data set using distributed computation
Classification
In this lesson, we’ll focus on performance evaluation, and go into details, what are those different performance evaluation metrics.
Ensemble Method
Let’s talk about how we actually develop those models using big data. We’ll start by talking about some of the algorithms used in big data analytics like stochastic gradient descent.
Phenotyping
In this lesson, we’re going to discuss a healthcare application of clustering called phenotyping. Phenotypes are medical concepts such as diseases or conditions.
Clustering
Now we’re going to move on to a different method called clustering. In clustering, we want to discover those labels or categories form raw data.
Spark
We’ll introduce Spark, another big data system that provides better performance, by using distributed memory, across many machines. We’ll talk about the key concept behind Spark.
Medical Ontology
For historical reason, healthcare and medicine domain have already developed many ontologies for organizing diseases, medical procedures, medications, lab tests, and more.
Graph Analysis
In this lesson we’ll talk about graph analysis. Graph analysis, is a set of methods, that are commonly used in search engines, and social networks.