3 Reasons To Consider Using Reinforcement Learning

Kayla Mccallon

Introduction Reinforcement learning is a branch of machine learning that uses algorithms to get their inspiration from the way animals learn. Reinforcement learning is used across all types of industries, including finance and medicine. Here are three reasons why it’s worth considering this technique in your next project: It’s more […]

How To Decide Which Machine Learning Algorithms To Use

Kayla Mccallon

Introduction Machine Learning algorithms are incredibly powerful tools that can help us extract useful information from data. The most famous machine learning algorithms are Support Vector Machines, Neural Networks, and Random Forests. However, there are many more algorithms available in the python scikit-learn library which you may not know about […]

4 Machine Learning Applications For Non-Programmers

Kayla Mccallon

Introduction Machine learning is a branch of artificial intelligence that allows computers to learn without being explicitly programmed. It’s been around since at least the 1950s, but it only recently gained mainstream attention thanks to big data and increased computing power. Nowadays, machine learning algorithms are used everywhere from social […]

Machine Learning Applications And Examples In Python

Kayla Mccallon

Introduction Machine learning is a type of artificial intelligence. It’s important to understand the difference between machine learning, which deals with algorithms that can improve in the face of new data, and other types of automated decision-making like rule-based systems or neural networks. Artificial Intelligence AI is the next big […]

What Is Reinforcement Learning?

Kayla Mccallon

Introduction Reinforcement learning (RL) is a computer science technique that uses rewards and punishments to teach an agent how to make decisions. The agent can be an artificial intelligence program or even a robot, but the idea with RL is that it will learn how to do something based on […]