A Beginner’s Guide To Creating An AI Model

A Beginner’s Guide To Creating An AI Model

Some Terms To Know

Here are some terms you should know as you delve deeper into the world of AI:

  1. Artificial Intelligence refers to the concept wherein machines mimic human intelligence.
  2. AI Model is essentially a program that depends on a set of data to recognize patterns and make decisions.
  3. An algorithm is a set of rules for machines to follow to complete a given task.
  4. Big Data are data sets that are too complex and huge for standard data processing applications.
  5. Computer Vision is a field within AI focused on machines learning from images and recognizing meaningful patterns from them. 
  6. Data Mining is the process of analyzing data sets, thereby allowing the detection of new patterns and thus improving the model.
  7. Deep Learning is a function of AI made to imitate the way humans learn from structured data instead of using algorithms.
  8. Machine Learning is often confused with AI, but it is a subset of AI focused on developing algorithms to aid machines in learning and adapting to new data.
  9. Natural Language Processing is a field within computer science focused on teaching computers to comprehend text the same way humans do.

 

How Does AI Work and How Do You Make One

Essentially, AI models rely on computer vision, machine learning, and natural language processing to recognize different patterns. In addition, they use decision-making algorithms to solve big problems based on their training and the data they received and will collect and review.

To build an AI model, you must follow a few simple steps. First, gather the raw data you intend to use for your project. For example, if you want to teach a computer to recognize the difference between a mug and a glass using computer vision, you’ll need images of both. Next, organize these data to ensure that their classes are distinguished. For instance, label images of the mug as mug and glass as glass. Next, use an algorithm and train it to ensure it’s accurate enough for your needs. Finally, choose a programming language and machine learning platform for building your AI system. One popular programming language used for AI is python, whereas an example of a platform would be TensorFlow.