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
Introduction It’s easy to get lost in the abstract world of machine learning, but it’s also fun to see how these algorithms work in practice. That’s why we’ve compiled a list of 16 cool machine learning projects that can help give you a better understanding of how the technology works. […]
Introduction The goal of this project was to train a neural network to make coffee. The dataset contains 100,000 rows and 50 variables. Many of the variables in the training data are categorical, with no values repeating across rows. There are 6 different classes (dosage, blend, roast, origin, type and […]
Introduction When it comes to machine learning, there are three basic types: unsupervised, semi-supervised, and supervised.Each type has its own benefits and applications. In this blog post we will explore the different kinds of machine learning algorithms that fall under the supervised category. What is Supervised Learning? Supervised learning is […]
Introduction Machine learning is awesome. It’s a powerful tool that can help you make better decisions, but if you don’t know how to use it properly, it can end up being pretty dangerous. In this blog post, I want to show you what machine learning is and give you some […]
Introduction If you’re new to machine learning, you might think that it’s a concept reserved for the world of science fiction and fantasy. In reality, machine learning is used every day by businesses around the world and is becoming increasingly important as we move towards a more data-driven society. If […]
Introduction Supervised learning is a type of machine learning in which the algorithm learns by example. In supervised learning, data with known outputs (labels) is used to train the model. It’s called supervised because there are labels provided for each pattern in the training data that allow us to make […]
Introduction The world of machine learning has changed dramatically in the past decade. In the early days, most machine learning algorithms were used to classify and label images. Then researchers started using these models to predict future outcomes based on historical data, such as what will happen next in a […]
Introduction Machine learning is a technique for creating algorithms that can learn from data. This post will introduce you to the fundamentals of machine learning, giving you an overview of how it works and why it’s so useful. After this post, you’ll be able to: Describe the difference between supervised […]
Introduction Machine learning is a branch of artificial intelligence (AI) that involves the development of computer programs that can learn from data and make predictions on future events. The development of these algorithms has been revolutionized by the availability of large amounts of data, increasing computational power, and improvements in […]