An Introduction to Machine Learning

Kayla Mccallon

Introduction Machine learning is quickly becoming one of the most important tools for businesses to take advantage of big data analytics. It’s also a fascinating field that has applications beyond just business, including things like self-driving cars and diagnosing diseases. Machine learning algorithms can be divided into two broad categories: […]

What is Machine Learning?

Kayla Mccallon

Introduction Machine Learning, or ML, is one of the most exciting and fastest-growing fields in computer science. It’s also a science in its infancy, which means there’s a lot to learn. In this article, we’ll cover everything from the history of machine learning to its various types and applications. By […]

Supervised Learning in Machine Learning

Kayla Mccallon

Introduction Supervised Learning is a form of Machine Learning where the data is labeled. In this case, there are two types of machine learning models: classification and regression. Supervised Learning Supervised learning is a machine learning task where the algorithm is trained on a set of examples. The algorithm learns […]

25 Popular Applications Of Machine Learning

Kayla Mccallon

Introduction Machine learning is a branch of computer science that enables computers to learn without being explicitly programmed. It’s not new, but it’s become increasingly important in recent years and has been used to solve many real-world problems. Here are 25 applications of machine learning: Medical Diagnosis One of the […]

The Best Spotify Playlist For Machine Learning

Kayla Mccallon

Introduction Machine Learning is a powerful tool that can be used to accomplish many tasks. It’s not just for data scientists and computer programmers, though—you can use it too! Here’s how. Introduction Machine learning is one of the most exciting topics in AI, and it’s becoming increasingly important as we […]

When To Apply Reinforcement Learning

Kayla Mccallon

Introduction Reinforcement learning is a subset of Machine Learning that relies on rewards and punishments to find optimal solutions. The best way to understand reinforcement learning is through examples, so let’s start with some of the classic RL problems. The classic RL problems include Atari games, board games, toy robots, […]