Besides computer vision, artificial neural networks (ANNs) are also very popular in natural language processing. Automatic translation or sentiment analysis of reviews are well known areas, where (recurrent) neural networks are used a lot. Around natural language understanding, there are…
In the past years a new job role has become very popular (at least I noticed it in job postings and media). The machine learning engineer. But what is the difference between this new job role and data engineering or…
In this post I will show how to combine features from natural language processing with traditional features (meta data) in one single model in keras (end-to-end learning). The solution is a multiple inputs model. Problem definition Scientific data sets are…
In the last months I was working on a deep learning project. The goal was to dig into Tensorflow and deep learning in gerneral. For this purpose I re-implemented a paper from January 2016 called convolutional pose machines , which uses deep…
I almost completed Nanodegree “Machine Learning Engineer” from Udacity and now its time for a first review. There are some positive and negative things to say, i don´t want to sugarcoat. I liked the projects and the reviewers and also some…
After getting good results with the Random Forest algorithm in the last post, we will take a look at feed forward networks, which are artificial neural networks. Artificial neural networks consist of many artificial neurons, which are based on the…
In the previous post i showed how to use the Support Vector Machine in Spark and apply the PCA to the features. In this post i wills show how to use Decisions Trees on the titanic data and why its better…
This ist the third part of the Kaggle´s Machine Learning by Disaster challenge where i show, how you can use Apache Spark for model based prediction (supervised learning). This post is about support vector machines. The Support Vector Machine (SVM) is…
The naive bayes classification is a probabilistic classifier, which is used to classify a feature vector to a class. It does a probably wrong assumption, that features are statistically independent to each other. Anyway Apache Spark has implemented Naive Bayes and i…
How did the fare, age or gender affected the probability to survive on the Titanic? And how can we use this information to predict the probability to survive for each passenger? That´s the competition, which is offered by Kaggle to get into machine learning…