Machine learning is an arm of artificial intelligence (AI) and computer science that focuses on using observations and algorithms to model how humans learn to increase the process’s accuracy over time.
Machine learning is an important part of the rapidly expanding discipline of data science.
Algorithms are trained to generate classifications or predictions using statistical approaches, revealing crucial insights in data mining initiatives.
These insights drive decision-making within applications and enterprises to influence significant growth KPIs.
As big data demands increase and grow, the demand for data scientists will rise, asking for their help in identifying the most relevant business questions and, as a result, the observations needed to answer them.
The learning process starts with observations, such as examples, direct experience, or instruction, to seek patterns in observations and make better decisions in the future based on the criteria we provide.
The fundamental goal of computers is to learn independently, without human involvement, and to change their behavior accordingly.