Entries by Mario Meir-Huber

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Convolutional Neural Network (CNN) and Feedforward Neural Network

In the last couple of posts, we’ve learned about various aspects of Machine Learning. Now, we will focus on other aspects of Machine Learning: Deep Learning. After introducing the key concepts of Deep Learning in the previous post, we will have a look at two concepts: the Convolutional Neural Network (CNN) and the Feedforward Neural […]

AI Ethics: towards a sustainable AI and Data business

AI and Ethics is a complex and ofthen discussed topic at different conferences, usergroups and forums. It even got picked up by the European commission. I would argue that it should actually go one step further: it should be part of every corporate responsibility strategy – just like social and environmental elements. AI Ethics: what […]

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Important data sources you need

For Data itself, there are a lot of different sources that are needed. Based on the company and industry, they differ a lot. However, to create a complex view on your company, it isn’t necessary only to have your own data. There are several other data sources you should consider. Data you already have The […]

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Classification algorithms: Random Forest and Naive Bayes

In the first posts, I introduced different type of Machine Learning concepts. On of them is classification. Basically, classification is about identifying to which set of categories a certain observation belongs. Classifications are normally of supervised learning techniques. A typical classification is Spam detection in e-mails – the two possible classifications in this case are […]