ML&Neuro Blog
Machine Learning & Neuroscience
Category project
Solving sailing using Q-Learning
The year 2020 was not the greatest for sailors. The pandemic limited the available options for voyages or even to gather a crew. I am a huge sailing enthusiast and...
On Medium
Having to monitor multiple custom-built intercoms can become a tedious process. A daily routine of checking their state and fearfully awaiting for a Slack notification telling you about one crashing...
Category tutorial
On fitting a line to your data
Linear Regression (LR) is one of the most fundamental algorithms in machine learning. It is the simplest regression model out there it is very often a fitting solution for a...
How to formulate the right objective.
Any machine learning student will learn about loss functions sooner rather than later. They are a fundamental element of learning and optimisation, therefore understanding is necessary for mastering machine learning....
Finding minimums of unobvious functions
Gradient descent is probably one of the most widely used algorithm in Machine Learning and Deep Learning. At the same time, it is one of the easiest to understand. In...
On the Teacode blog
At Teacode.io we come across the need to provide administrative technology on a daily basis. However, knowing that admin panels are not the actual money-maker for our clients we had...
Category machine learning
On fitting a line to your data
Linear Regression (LR) is one of the most fundamental algorithms in machine learning. It is the simplest regression model out there it is very often a fitting solution for a...
Solving sailing using Q-Learning
The year 2020 was not the greatest for sailors. The pandemic limited the available options for voyages or even to gather a crew. I am a huge sailing enthusiast and...
How to formulate the right objective.
Any machine learning student will learn about loss functions sooner rather than later. They are a fundamental element of learning and optimisation, therefore understanding is necessary for mastering machine learning....
Finding minimums of unobvious functions
Gradient descent is probably one of the most widely used algorithm in Machine Learning and Deep Learning. At the same time, it is one of the easiest to understand. In...
Category loss functions
How to formulate the right objective.
Any machine learning student will learn about loss functions sooner rather than later. They are a fundamental element of learning and optimisation, therefore understanding is necessary for mastering machine learning....
Category reinforcement learning
Solving sailing using Q-Learning
The year 2020 was not the greatest for sailors. The pandemic limited the available options for voyages or even to gather a crew. I am a huge sailing enthusiast and...
Category sailing
Solving sailing using Q-Learning
The year 2020 was not the greatest for sailors. The pandemic limited the available options for voyages or even to gather a crew. I am a huge sailing enthusiast and...
