machine-learning
The Importance of Data in Machine Learning
Data is everything with a little bit of modeling on the side. So, let’s focus on a couple of key points of what kind of data is important, how much data you need, and how you can handle all this data.
The Disruptive Technology of AI in the Retail [WEBINAR ON DEMAND]
Artificial Intelligence can help retail companies stay on top of the industry. This is what we discussed in our 30-minute webinar that you can find here.
Tire Recognition meets Machine learning v.2: Step by step approach – Frank’s case [PART 2]
While in first part about Frank’s case we explained what the problem was, modus operandi and taken steps, here we are going to describe approach conducted and what was the final output and business benefits.
Tire recognition meets Machine Learning v.1: Things to consider and modus operandi
Frank’s tire catalogue included 80 tire manufacturers and over 20 000 unique tire models, with 5digit number of tires moving daily. Aside from the risk of human error during sorting upon arrival, there was a risk of human error when sorting prior to shipping out.
Without a DevOps and Machine Learning, you will fall behind in Industry 4.0
It’s very important for revenue growth to use these technologies, especially because the global business environment is going to be uncertain for a while because of COVID-19. We do not know what consumer spending will look like or how it will bounce back in every industry. You need to maximize the advantages that you have.
Using Q-Learning for Pathfinding
This post is an introduction to a method of reinforcement learning known as Q-Learning. We will use a simple example of solving a logic puzzle to explain basic concepts of this method. A basic knowledge of math and graphs is required to follow this post.