Effective Data For machine learning to take place and for AI to be effective, it needs high-quality data. It also needs as much as it can get. Data is the food that feeds AI. If the food is bad or scarce (or both), then the AI will do very poorly. Data can be just that, data, numbers. It can also be words, it can be images, sounds, videos, and so on. It converts it all into numbers anyway. This data is pushed through the training process repeatedly to train it. But not all the data is used. Some of [...]

What are neural networks? Neural networks are the foundations of much of what we call Artificial Intelligence or Machine Learning. Basically, they are a type of algorithm that tries to learn patterns from data. The key word here is learn. Just like you and me, we need some form of input data; for us, it is from our five senses. The Brain Our brains then process that information and try to learn from it. So if you watch a baby trying to learn how to crawl, it does it through throwing its arms and legs in different directions, and [...]

Machines that Learn Machine Learning is the discipline of training a computer to find patterns in data. This data could be in the form of sensor readings, images, historical stock market results, etc. It can look at any data and try to approximate it. It does this by mapping inputs to outputs and making a prediction. House Data For instance, you could collect all the data on houses in a particular area (number of bedrooms, type of house, garage, garden, driveway, etc.) and predict what price a new property on the market might realistically fetch. Plant Data Another example [...]