Problem Solving In Artificial Intelligence

Problem Solving In Artificial Intelligence-63
Inaccuracy and duplication of data are major business problems for an organization wanting to automate its processes.Machines learning (ML) algorithms and predictive modelling algorithms can significantly improve the situation.ML programs use the discovered data to improve the process as more calculations are made.

Inaccuracy and duplication of data are major business problems for an organization wanting to automate its processes.

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Unsupervised learning along with location detail is used by Facebook to recommend users to connect with others users.

Machine Learning in the medical field will improve patient’s health with minimum costs.

Also, knowledge workers can now spend more time on higher-value problem-solving tasks.

Spam detection is the earliest problem solved by ML.

In addition to spam detection, social media websites are using ML as a way to identify and filter abuse.

Unsupervised learning enables a product based recommendation system.One of the biggest of these is - how do we keep the systems safe?Algorithms are based on data, so any change to that data will change the behaviour and outcomes.Wildlife corridors are continuous areas of protected land that link zones of biological significance that the animals can use to move safely through the wilderness.Using artificial intelligence is not without its challenges, however.For instance, by tracking animal movements, we can see where they go, and what habitats we need to protect.This study uses computing power to figure out the best places to create wildlife corridors for wolverines and grizzly bears in Montana.After initial teething problems, the robot started answering the students’ questions with 97% certainty.The university designed the robot after their research showed that one of the main factors behind students dropping out is a lack of support.Given a purchase history for a customer and a large inventory of products, ML models can identify those products in which that customer will be interested and likely to purchase.The algorithm identifies hidden pattern among items and focuses on grouping similar products into clusters.


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