As a person coming from .NET world, it was quite hard to get into machine learning right away. One of the main reasons was the fact that I couldn't start Visual Studio and try out these new things in the…
Guide to Machine Learning with ML 1.0
Deep Q-Learning with Python and TensorFlow 2.0
In the previous two articles we started exploring the interesting universe of reinforcement learning. First we went through the basics of third paradigm within machine learning - reinforcement learning. Just to freshen up our memory, we saw that approach of…
Introduction to Reinforcement Learning
Edward observed his cats as they tried to escape from home-made puzzle boxes. Puzzles were simple, all cats had to do was pull some string or push a poll and they were out. When first encountered with a puzzle cats…
Understanding Cross-entropy
A couple of days ago a friend of mine, who started exploring deep learning, asked me "Hey man, can you explain this Cross-entropy thing to me?". Now, that is a tough question, because this topic is never set with me…
Guide to Exploratory Data Analysis with Python
The crucial part of any machine learning, deep learning application and artificial intelligence application is data. You might have heard the term "garbage in - garbage out" that is often used by the more experienced data scientist. In this article, we are going to explore ways to find "garbage" in your data.
Mathematics for Artificial Intelligence Series
Machine Learning, Neural Networks and Artificial intelligence are big buzzwords of the decade. It is not surprising that today these fields are expanding pretty quickly and are used to solve a vast amount of problems. We are witnesses of the new golden period…
Mathematics for Artificial Intelligence – Calculus & Optimization
If you followed previous blog posts on this site, you noticed that we covered a range of math topics that you should know in order to understand concepts behind machine learning, deep learning and artificial intelligence. So far, we went…
Mathematics for Artificial Intelligence – Probability
Getting into machine learning, deep learning and artificial intelligence is not easy. These are all very cool and interesting topics, and they are being hyped lately, but like with software development, it is not for everybody. Some would say that…
Ultimate Guide to TensorFlow 2.0 in Python
Code that accompanies this article can be downloaded here. Last November TensorFlow celebrated its third birthday. Over the years it became one of the most loved ML frameworks and gathered a massive amount of followers. Google has done a great…
Machine Learning with JavaScript and TensorFlow.js Series
Open-source library TensorFlow.js was introduced about a year ago. However, I didn’t manage to try it out up until now. The idea is to use possibilities of TensorFlow.jsto build and run our machine learning and deep learning modes in a browser or under Node.js.