Machine Learning

One of the best books to get started with Data Science

Some years ago, during my studies at the University of Bonn, I had a Computational Statistics lecture. It was one of the elective courses within the Econometrics and Statistics specialization. Until today, you can read on the syllabus of this lecture: “The course explains ideas and methodological issues of computationally intensive statistical methods. There will …

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3 ways to create a Deep Neural Network model with Keras and Tensorflow 2.0 – Sequential, Functional and Subclassing API

In this article you will learn about three ways to create deep neural network models using Keras and Tensorflow 2.0 You will learn about their advantages and limitations, and see examples of how these methods are used. Keras and Tensorflow 2.0 provide three ways to build different deep neural network architectures: Sequential API Functional API …

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