What is Logistic Regression? Logistic regression seeks to: Model the probability of an event occurring, depending on the values of the independent variables, which can be categorical or numerical. Estimate the probability that an event occurs for a randomly selected observation versus the probability that the event does not occur. Predict the effect of a […]
tensorflow
Tensorflow – Basics Part 2: Exercises (2/2)
Tensorflow is an open source, software library for numerical computation using data flow graphs. Nodes in the graph are called ops (short for operations), while the graph edges represent the R multi-dimensional data arrays (tensors) communicated between them. An op takes zero or more Tensors, performs some computation, and produces zero or more Tensors. In […]
Tensorflow – Basics Part 2 : Exercises (1/2)
Tensorflow is an open source, software library for numerical computation using data flow graphs. Nodes in the graph are called ops (short for operations), while the graph edges represent the R multi-dimensional data arrays (tensors) communicated between them. An op takes zero or more Tensors, performs some computation, and produces zero or more Tensors. In […]
Tensorflow – Basics Part 1: Exercises
Tensorflow is an open source, software library for numerical computation using data flow graphs. Nodes in the graph are called ops (short for operations), while the graph edges represent the R multidimensional data arrays (tensors) communicated between them. An op takes zero or more Tensors, performs some computation, and produces zero or more Tensors. In […]
