You might be familiar with the fear that robots will take over the world and the human race will go extinct because of them. However, that’s not the case, and the technology isn’t that advanced yet. Moreover, it will be good to remember that artificial intelligence (AI) is something that we create and control. While it does present some risks that scientists and tech billionaires know, it’s also possible that the good it can do can outweigh the bad.
Try to learn more about AI and how it works. Know that while you have a long road ahead, it’s possible to do so. You don’t need a 200 IQ to learn it; it doesn’t matter how old or young you are when your curiosity begins, too. In reality, there are numerous self-taught software developers nowadays. If you ask them, they might say that the best way to learn about AI is through practice.
So, how do you apply the skills and knowledge you’ll gain from AI and building simple projects? Fortunately, no matter what industry you end up in, there is often a way that AI may help. In the medical field, for example, AI is used to diagnose illnesses more accurately, for robotic surgery, and others. Meanwhile, in e-commerce, one AI application you might be aware of is how it helps platforms like Amazon make better product recommendations.
One of the steps a beginner must take to learn about AI and create one’s own system is AI models. The following is a guide to creating an AI model for beginners:
Some Terms To Know
Here are some terms you should know as you delve deeper into the world of AI:
- Artificial Intelligence refers to the concept wherein machines mimic human intelligence.
- AI Model is essentially a program that depends on a set of data to recognize patterns and make decisions.
- An algorithm is a set of rules for machines to follow to complete a given task.
- Big Data are data sets that are too complex and huge for standard data processing applications.
- Computer Vision is a field within AI focused on machines learning from images and recognizing meaningful patterns from them.
- Data Mining is the process of analyzing data sets, thereby allowing the detection of new patterns and thus improving the model.
- Deep Learning is a function of AI made to imitate the way humans learn from structured data instead of using algorithms.
- 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.
- 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.
Further Study
With the guide above, you are now armed with basic knowledge of AI and are one step closer to building your own AI application. However, you have a long way to go as you have to ensure you have all the materials to learn AI effectively.
To do this, consider using YouTube videos, massive open online courses, and other learning materials on the internet to further your learning. Finally, don’t forget that as soon as you can practice and apply the knowledge you’ve gained, use this to strengthen your understanding of the concepts.
Who knows, maybe one day you’ll build a grammar checker, like Grammarly, using natural language processing.
Conclusion
Artificial intelligence often has a bad rep for fear it might be one of the factors that would lead to humanity’s extinction. However, if used right, AI can be used for the good of the human race. Its myriad of applications benefits people and businesses alike.
By using other learning materials along with this guide, you’re now one step closer to building your knowledge of AI and possibly your own AI system in the future.
