What is Semi-Supervised Learning?
Why it matters: Semi supervised machine learning algorithms are a hybrid that takes the best parts of supervised learning and unsupervised learning algorithms.
Category: AI
What is Unsupervised Learning?
Why it matters: Unsupervised learning is a technique where models are not trained on datasets. The data encountered in this case is neither classified nor labeled.
The Next Generation of Agriculture Robots
Why it matters: The Next Generation of Agriculture Robots are designed to help farmers automate their work and increase their efficiency. These robots are equipped with sensors and software that allow them to identify and isolate pests and diseases, and then take action to eliminate them. They can also identify and isolate areas in need of fertilizer or water, and then take action to correct the issue.
12 Apps and Tools To Make Music With Artificial Intelligence
Why it matters: AI music generators are on the rise in todays world and here are some tools that you can use to experiment with AI based music.
AI and Election Misinformation
Why it matters: AI has been used to create and disseminate election misinformation, deepfake social media profiles and sophisticated bots have influenced voters’ decisions and changed the way political campaigns are run.
Introduction to DALL·E 2 Art Generator: How Does it Work?
Why it matters: Dall E 2 AI art generator uses Contrastive Language Image Pre-training (CLIP) to generate images from text.
What is a Sparse Matrix? How is it Used in Machine Learning?
Why it matters: As the name would suggest, a sparse matrix is one whose elements have fewer nonzero values in a matrix. This is an important concept in ML
What is Supervised Learning?
Why it matters: The term “supervised” indicates that the algorithm is driven by observing and correcting errors during the entire process.
Introduction to Classification and Regression Trees in Machine Learning
Why it matters: Classification and Regression trees or CART for short is a term used to describe decision tree algorithms that get used for classification and regression tasks. The results of these trees are very easy to understand which gives them an edge over other algorithms.
Introduction to Machine Learning Algorithms
Why it matters: Machine Learning Algorithms – To understand machine learning, you need to know the algorithms that drive the opportunities of machine learning and it’s limitations.