How Machine Learning Is Deployed In Real World Scenarios?

1.	How Machine Learning Is Deployed In Real World Scenarios?
Answer» Here are some of the SCENARIOS in which MACHINE learning finds applications in real world: Ecommerce: Understanding the customer churn, deploying targeted advertising, remarketing. Search engine: Ranking pages depending on the personal preferences of the searcher FINANCE: Evaluating investment opportunities & RISKS, detecting fraudulent transactions Medicare: Designing drugs depending on the patient’s history and needs Robotics: Machine learning for handling situations that are out of the ordinary Social media: Understanding relationships and recommending connections Extraction of information: framing questions for GETTING answers from databases over the web. Here are some of the scenarios in which machine learning finds applications in real world: Ecommerce: Understanding the customer churn, deploying targeted advertising, remarketing. Search engine: Ranking pages depending on the personal preferences of the searcher Finance: Evaluating investment opportunities & risks, detecting fraudulent transactions Medicare: Designing drugs depending on the patient’s history and needs Robotics: Machine learning for handling situations that are out of the ordinary Social media: Understanding relationships and recommending connections Extraction of information: framing questions for getting answers from databases over the web.

Answer»

Here are some of the SCENARIOS in which MACHINE learning finds applications in real world:

Ecommerce: Understanding the customer churn, deploying targeted advertising, remarketing.

Search engine: Ranking pages depending on the personal preferences of the searcher

FINANCE: Evaluating investment opportunities & RISKS, detecting fraudulent transactions

Medicare: Designing drugs depending on the patient’s history and needs

Robotics: Machine learning for handling situations that are out of the ordinary

Social media: Understanding relationships and recommending connections

Extraction of information: framing questions for GETTING answers from databases over the web.

Here are some of the scenarios in which machine learning finds applications in real world:

Ecommerce: Understanding the customer churn, deploying targeted advertising, remarketing.

Search engine: Ranking pages depending on the personal preferences of the searcher

Finance: Evaluating investment opportunities & risks, detecting fraudulent transactions

Medicare: Designing drugs depending on the patient’s history and needs

Robotics: Machine learning for handling situations that are out of the ordinary

Social media: Understanding relationships and recommending connections

Extraction of information: framing questions for getting answers from databases over the web.

Discussion