IT Professional Curricula     Enterprise Database Systems Solution Area     Data Management     Predictive Analytics

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Choosing the appropriate technique to deliver confident predictions can be challenging for analysts. Explore algorithms used for predictive analytics, including the K-Nearest Neighbor (k-NN) algorithm and artificial neural network modeling.

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Objectives

K-Nearest Neighbor (k-NN) start the course recognize features of the k-NN algorithm recognize distance and weighted distance measures recognize proximity measures for non-numeric attributes implement the k-NN algorithm Artificial Neural Networks identify key features of artificial neural networks recognize steps and considerations to building artificial neural networks recognize the purpose of nonlinear activation functions and methods to find the global minimum SSE recognize important parameters for artificial neural networks implement an artificial neural network