Willem's Fizzy Logic

Deploying resources on Azure with Terraform

In december we've built a chatbot on Azure. We're currently deploying it directly from Azure DevOps with great ease. The only problem, the infrastructure isn't managed at all. Hard problem? Not really...

Developers life

Building a custom mechanical keyboard - Part 2

Building your own mechanical keyboard, to some this sounds weird others have done it. It's definitely a first for me, so I decided to do a write up on this project. In this

Developers life

Building a custom mechanical keyboard - Part 1

I've always been a huge fan of mechanical keyboards. Personally I use the daskeyboard mechanical keyboard. It's a clicky, loud typing beast. Great for writing books and blogposts and occasional programming when I get to it. But I want something different. I decided to build an Iris custom keyboard.

Machine Learning

It's easier than ever to add machine learning to your C# program. Use ML.NET!

In the past machine learning was something exclusively for the pythonistas or data scientists that knew how to use Python or R and had studied statistics. Not anymore, it has become a lot easier for developers to use machine learning. This also goes for .NET developers.

Developers life

Learn how to quickly generate REST clients from Open API Specification files

Often when you work with REST endpoints the makers of these endpoints expose swagger (Open API Specification) files. Many developers however still handcode their clients. Not only is this bad. Here's a better way to generate your clients.

3D printing

We bought our first 3D Printer and had a massive learning experience!

A few weeks ago my wife asked me for a 3D printer. She wanted to make art and small things around the house. Two weeks ago we spend a whole evening researching and comparing 3D printers and design software. It turns out to be quite an adventure and we learned a lot along the way.

Machine Learning

3 Must-have tools if you're serious about machine learning

When working on machine learning problems I find that productivity is sometimes somewhat low, because I have to spend a lot of time working on tedious bits that probably can be automated away. Over time I have found quite a few tools that help me get better results faster. Here's three of them.

Machine Learning

What to learn if you want to become a Microsoft certified machine learning engineer

Microsoft now offers a new MCSA certification for people that want to expand into the world of machine learning. Here's a run down of the exams and what you will need to learn to earn this certification.

Machine Learning

What I've learned getting my colleagues up to speed with AI

How do you start with AI when you're a developer and have no idea where to begin? Organize a workshop for your colleagues and challenge them to start exploring machine learning. I certainly learned a ton while organizing the AI learning experience. It was a lot of fun.

Machine Learning

I'm building my own deep learning framework and that's crazy

I've embarked on my hardest and most fun adventure ever. I'm going to implement my own deep learning framework. I know most people will call me crazy. But I think this is a challenge that was long coming and I finally got around to it. Wonder why? Read on.

Chatbots

Learn how to build a bot with the new Microsoft Bot Builder Java SDK

Bot builder from Microsoft has been around for a couple of years now. During Microsoft Build 2018 a preview of version 4.0 was launched with support for more languages. Previously you could only build a bot in C# or Node. Now you can build one in Java too. Here's how.

Machine Learning

Learn how automatically tag images with the Computer Vision API

When you're not into building your own machine learning models or neural networks, but still want to do something with AI to recognize images, then Microsoft has you covered with the Computer Vision API as part of their Cognitive Services. Wonder how to use it? Learn it here.

Machine Learning

Bring your deep learning models to production with CNTK on Java

Discover how you can use Cognitive Toolkit to bring your models to production with Python and Java.

Chatbots

Time to do it differently, build chatbots with streams

Currently when you want to build a chat bot in Microsoft Bot Builder you have to deal with the rather complicated dialog system. I really don't like it, but there isn't a very

Machine Learning

Learn how to visualize your CNTK based neural network

When you're building complex neural networks you often want to visualize them. Visualization offers a great way to debug things like performance bottlenecks, because parts of your network get duplicated by CNTK. Luckely, it is quite easy to visualize a neural network in CNTK. Here's how.

Machine Learning

Here's why Microsoft Cognitive Toolkit is the coolest deep learning framework around

Microsoft cognitive toolkit supports loading and saving models in ONNX format, which enables you as a developer to run your trained network on Java and C# with much better overall performance than you can get with Python.

Machine Learning

Adventures in AI part 3: How do I know my ML model is any good?

You can train any model you like for your AI solution, but it is only as good as the data you feed it. But how do you measure the performance of a machine learning model? In this third part of the series on AI models I will show you how.

Python

My python setup on Windows 10

Setting up a proper development environment for Python and Data Science projects can be hard on Windows. Python's origin isn't on Windows which shows, but you can get it to work with just a few tweaks. Here's how.

Python

How to quickly build a REST API in Django

Vacation time, an excellent time to learn something new, so I figured, why not build a recipe bot that recommends recipes? For that I needed a way to store recipes that the bot could retrieve. And I figured, why not try to build that in Python with Django?

Machine Learning

How-to: run Microsoft Cognitive Toolkit based application inside a Docker image

As part of a Community Hack at Microsoft Denmark people can hack together basic AI models with CNTK. Two fellow MVPs asked me if they could use Docker to work on CNTK applications.

Machine Learning

Embedded AI: The Nvidia Jetson TX1 - Part 1

Every once in a while you run across something that you just have to have. I bumped into a cool little device, the Nvidia Jetson TX1. This is a creditcard size AI computer that looks to be fun. So I had to try it.

Machine Learning

Learn how to build flexible machine learning pipelines in scikit-learn

Setting up a machine learning algorithm involves more than the algorithm itself. You need to preprocess the data in order for it to fit the algorithm. It's this preprocessing pipeline that often requires a lot of work. Building a flexible pipeline is key. Here's how you can build it in python.

Python

5 easy steps to start editing python notebooks over SSH

When you work with Linux machines on Amazon EC2 or Azure over SSH and want to edit interactive python code you've got a challenge. There is vim and other console based editors, but that might not be what you want. Here's how you can edit python code in your browser over SSH in 4 steps.

Python

How to setup tox on Windows with Anaconda

When you are developing packages for Python you need some way to test whether your package works on someone else's computer. Tox is a great tool for this, but doesn't work well with Anaconda. With some basic steps however you can have your code tested on tox without much trouble.

Machine Learning

Machine learning tips: How to quickly generate a bag of words

Natural language processing is all about text. But it doesn't use the text itself. You need vectors of numbers, for example a bag of words. This can be easily built with a dictionary and some for loops. But there is an easier way.