It is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms. This means that data science helps AI to come out of the problems by linking related kind of data for future use. Basically, information pools faster and more efficiently. They play active roles in the design and implementation work of four related areas:
- Data architecture
- Data acquisition
- Data analysis
- Data archiving
In the present, AI is complex and effective but is nowhere equal to human intelligence. Humans use the data present around them and the data accumulated in the past to figure out anything and everything. However, AIs don’t have that ability just yet.
Artificial intelligence is turning up to every industry, but we must understand its limits. The principle limitation of AI is that it learns from the data. There is no other way in which knowledge can be integrated. That means any deception in the data will be reflected in the results. And any additional layers of prediction or analysis must be added separately.
Machine learning is an application of artificial intelligence (AI) that provides systems ability to automatically learn and improve from experience without being exclusively programmed. It focuses on the development of computer programs that can access data and use it to learn for themselves.
The process of learning begins with observations or data, such as examples, direct experience, or instruction, to look for patterns in data and make better decisions in the future based on the examples that we provide. Machine learning methods
- Supervised machine learning algorithms
- unsupervised machine learning algorithms
- Semi-supervised machine learning algorithms
- Reinforcement machine learning algorithms
It is a latest technology behind driverless cars, which enables them to recognize a stop sign, or to make difference between a pedestrian from a lamppost. Models are trained by using a large set of collected data and neural network architectures
HOW AL ML & DL ARE INTERCONNECTED?
Artificial intelligence is a huge term with applications ranging from robotics to text analysis. It is still a technology under evolution and there are dispute of whether we should be aiming for high-level AI or not. Machine learning is a subset of AI that focuses on a definite range of activities.