What is Machine learning?
- Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed.
- Machine learning algorithms use historical data as input to predict new output values.
What are the advantages and disadvantages of machine learning?
- When it comes to advantages, machine learning can help enterprises understand their customers at a deeper level.
- But machine learning comes with disadvantages. First and foremost, it can be expensive. Machine learning projects are typically driven by data scientists, who command high salaries. These projects also require software infrastructure that can be expensive.
Who's using machine learning and what's it used for?
Today, ML is used in a wide range of applications. One of the most well-known examples of machine learning in action is the recommendation engine that powers the Social Media news feed. Also, it is used in self-driving cars.
What is the future of ML?
As new technologies continue to unfold, ML algorithms can be used more productively. The future of ML will open multiple opportunities for businesses. The machine learning revolution will stay with us for a long time and so will the future of ML.