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 […]
Machine Learning
3 Reasons Why You Should Consider Unsupervised Learning
Introduction Unsupervised learning is one of the most exciting new tools in machine learning. It’s used to analyze your existing data, without any additional labels or keywords. Unsupervised Learning is no longer a new tool Unsupervised learning is not a new tool. It’s been around for decades and has been […]
How To Decide Which Machine Learning Algorithms To Use
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
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 […]
What Is Supervised Learning For All The People In The World Out There
Introduction Supervised learning is a machine learning technique that makes use of labeled data to map inputs (X) to outputs (Y). The most common form of supervised learning is classification, where an algorithm learns to predict a label for new data points. The two other types of supervised learning are […]
Machine Learning Applications And Examples In Python
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?
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 […]
Supervised Learning: Understanding & Mastering The Machine Learning Methodology
Introduction Supervised learning is the most popular method of machine learning and artificial intelligence. It’s easy to understand, reliable, and an essential part of many other advanced machine learning techniques. This guide will explain what supervised learning is, why it’s so important for developers and researchers, how you can use […]
What You Need to Know About Big Data And Machine Learning
Introduction Machine learning and big data are two of the most exciting, promising trends in business today. Machine learning is a subset of artificial intelligence (AI) that uses algorithms to teach computers how to learn from data without being explicitly programmed. It’s used for everything from speech recognition and image […]
Unsupervised Learning: How AI Can Offer Insights Into Patterns We Can’t Spot By
Introduction Unsupervised learning is a form of machine learning that doesn’t require a training set, but instead allows the data to guide its own approach. Unsupervised learning is used to identify patterns in large data sets. Some examples of unsupervised learning include finding similarities between people or identifying objects in […]