The field of artificial intelligence is vast and includes a host of concepts you should know about. However, learning all of them at once can be troublesome and confusing to a large extent.
So, to avoid all these, as a beginner, you can start your journey with a few basic concepts of AI.
8 Fundamentals of AI to know about
Following are 8 basic concepts of artificial intelligence that you should start with –
- Machine learning (ML)
Machine learning enables machines to learn a task by making observations without programming the system about the task in particular. Instead, you begin feeding the ML system good quality data and train them by building several ML models using different algorithms and automating the task.
- Reinforcement learning
Reinforcement learning is another subset of AI. The machine learns to copy human behaviour through trial and error and learns from its own mistakes. This algorithm decides future actions by learning behaviours based on maximum reward than their current state.
- Deep learning
Deep learning is a part of machine learning. You can process data and create predictions with the help of neural networks. These neural networks are similar to the human brain as they are connected in a web-like structure.
- Natural Language Processing (NLP)
Natural Language or NLP helps machines to talk to each other using speech. Due to AI and ML, machines can analyse and understand speech and language in real-time and respond to it.
Robotics is related to the production of humanoid machines that have human behaviour. Right down, it’s in the primitive stages. Robots can act like humans, but can they think like humans? Of course, it can’t, but this is where artificial intelligence is so helpful that it enables the robot to act intelligently in a controlled environment.
- IoT or Internet of Things
AI deals with the systems created for learning the emulation of human tasks using prior experience minus any human intervention. In comparison, the Internet of Things is a device network connected over the internet to collect and exchange data generating a huge amount of information that requires collection, storage and mining to get results that can be acted upon. Artificial Intelligence algorithms help to automate the entire process using all the necessary hardware and software resources.
- Computer vision
The internet has millions of images uploaded and viewed daily across the world. Computer vision uses AI technology to derive information from these images. This concept is also applicable to videos and other visual inputs.
- Recommendation systems
When you are using video streaming services like YouTube, or Netflix, you get recommendations based on the choices you made in the past. This is done by Recommendation Systems or Recommenders that guide you on what you should choose next. A recommendation system is also used in social networks or websites which sell content like books or movies.
AI technology has moved leaps and bounds in recent years, and it will develop further as time passes. So, starting with the pointers mentioned above can be a good idea if you want to learn more about this technology. Moreover, for more write-ups like this, head over to the blog section of the E2E Networks website.