Tag: machine learning

Chatbots are dead! Long live chatbots! Learn how to build your own chatbot and what mistakes to avoid.

Its 2018 - the chatbot hype is gone. What left and what makes sense? Get an overview of the opensource and Saas chatbot landscape and follow a complete tutorial on how to build your…
Thomas Ebermann

Speech recognition with wit.ai

A short example on how to do practical speech recognition (asr) with python. Starting with a review open source frameworks for asr and then covering Saas alternatives this blog posts…
Thomas Ebermann

Machine Learning as a Service with firefly

I have recently discovered firefly, a very handy alternative for data scientists, who want to publish their machine learning models fast on the web as a service and don't want to spend…
Thomas Ebermann

The Data Stack – Download the most complete overview of the data centric landscape.

This blog post offers an overview and PDF download of the data stack, thus all tools that might be needed for data collection, processing, storage, analysis and finally integrated…
Thomas Ebermann

A recommender system for Slack with Pandas & Flask

Learn how to build an easy collaborative filtering style system recommender for Slack. In this article I highlight the basic principles that most recommender systems share.
Thomas Ebermann

Predicting how long the böögg is going to burn this year with a bit of eyeballing and machine learning.

So apparently there is the tradition of the böögg in Zürich. It is a snowman made out of straw that you put up on top of a pole, stuff with explosives and then light up. Eventually the ex…
Thomas Ebermann

Machine learning on Google Analytics (part 2)

In my previous blogpost, we saw that using machine learning (ML) on Google Analytics (GA), we can go one step beyond traffic analysis. ML will bring light on correlations in your t…
Fabrice Hong

Machine learning on Google Analytics

Data mining using machine learning (ML) is a field that always fascinated me. You give an learning system millions of collected data, and it outputs back unexpected insights, that can…
Fabrice Hong