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…
TO-DO or not TO-DO
This is a guest post by Ana Marija Ćirić. Have you ever gone to the grocery store with a shopping list of 3 items in your mind thinking you don’t have to write those 3 things down because it’s simple…
Introduction to Q-Learning with Python and Open AI Gym
The code that accompanies this article can be downloaded here. In the previous article, we got familiar with reinforcement learning and the problem it is trying to solve. Reinforcement learning is the third paradigm or third type of learning in the…
Agile Database Development Best Practices
This is a guest post by Gilad David Maayan. Over the last decade, we have witnessed the growing need for quality, agility, and speed in the field of application code development. To meet this demand, organizations are adopting agile development…
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…
5 Reasons Why Python Is Popular in Bitcoin Projects in 2019
This is a guest post by Kateryna Boiko. Bitcoin is one of the pioneer cryptocurrency in the world. It has changed the financial landscape across the globe. A huge majority of the people dealing in trade and financing are showing…