The Tech Platform
May 16, 20222 min
Artificial Intelligence is a branch of computer science. It involves building smart machines capable of performing tasks that need human intelligence.
These systems mimic human cognitive functions, allowing decision making, and helping improve learning. AI-enabled systems also forecast financial and business outcomes and offer solutions for businesses. These machines interpret data to achieve business goals with greater precision and efficiency.
Machine Learning is the subsection of artificial intelligence and is based on the usage of algorithms and data. Machine learning requires complex math and a lot of coding to achieve the desired results.
Machine learning algorithms use computational methods and learn from the data without depending on any predetermined equation. It is an application of AI that allows systems to learn and improve from experience.
Deep learning is a subfield of artificial intelligence. It uses a multi-layered structure of algorithms called a neural network. DL algorithms also need data to learn and solve problems. We can also call it a subfield of machine learning.
The deep learning approach is suited to complex tasks where all aspects of the objects can’t be classified in advance. The DL system finds appropriate differentiators in the data without any external classification. Thus, there is no need for a developer to intervene.
Data science is a discipline that uses various technologies and methods to analyze data. It is the conjunction of computational science, statistics, mathematics, and knowledge of the company or business.
The main goal of data science is to find patterns in data. It uses various statistical techniques to analyze and extract information from the data. Through these valuable insights, data scientists can help companies make smarter business decisions.
The Tech Platform