Depends on the definition

it's about machine learning, data science and more

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How to build a smart product: Transfer Learning for Dog Breed Identification with keras

This time I will show you how to build a simple “AI” product with transfer learning. We will build a “dog breed identification chat bot”. In this first post, I will show how to build a good model using keras,… Continue Reading →

Detecting Network Attacks with Isolation Forests

In this post, I will show you how to use the isolation forest algorithm to detect attacks to computer networks in python.

A strong baseline to classify toxic comments on Wikipedia with fasttext in keras

This time we’re going to discuss a current machine learning competion on kaggle. In this competition, you’re challenged to build a model that’s capable of detecting different types of toxicity in comments from Wikipedia’s talk page edits. I will show you how to create a strong baseline using python and keras.

Sequence tagging with a LSTM-CRF

I show a state-of-the-art approach to named entity recognition. A hybrid approach combining a bidirectional LSTM model and a CRF model

Guide to sequence tagging with neural networks in python

  This is the third post in my series about named entity recognition. If you haven’t seen the last two, have a look now. The last time we used a conditional random field to model the sequence structure of our… Continue Reading →

Named entity recognition with conditional random fields in python

This is the second post in my series about named entity recognition. This time, we’re going to look into a more sophisticated algorithm, a so called conditional random field.

Introduction to named entity recognition in python

In this post you will learn how to do basic Named Entity Recognition (NER) in python. This is the first post in a series about NER.

Classifying genres of movies by looking at the poster – A neural approach

Today we will apply the concept of multi-label multi-class classification with neural networks from the last post to
classify movie posters by genre.

Guide to multi-class multi-label classification with neural networks in python

Often in machine learning tasks, you have multiple possible labels for one sample that are not mutually exclusive. This is called a multi-class, multi-label classification problem. Obvious suspects are image classification and text classification, where a document can have multiple… Continue Reading →

Efficient AWS usage for deep learning

When running experiments with deep neural nets you want to use appropriate hardware. Most of the time I work on a Thinkpad laptop with no GPU. This makes experimenting painfully slow. A convenient way is to use an AWS instance,… Continue Reading →

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