THE PRACTICAL USE OF MACHINE LEARNING IN TECH-COMPANIES !!
What is machine learning?
The meaning of machine learning is learning from data. People often consider Machine learning as Artificial Intelligence, but it is not valid. ML is a part of Artificial Intelligence that learns from the data and provides the results based on the analysis. You can solve many problems by using these results. The Data is provided to the right learning algorithms which in turn give results suitable for the users.
Here are a few examples of machine
learning use in tech companies.
1. SWIGGY
To classify products as
Veg/Non-Veg/Egg; For Understanding Preference of users and display restaurants.
2. Instagram / Facebook / Twitter
To Identify Bullying/Harassment in
comments/posts. To Recommend Posts and Reels & Fake-News Detection.
3. Uber
Predict time and area of demand.
Analyze user behave to offer discounts.
4. Spotify
It Suggests u songs based on ur recent searches and adds up to weekly recommendations.
5. Amazon/Flipkart:
To filter out Customer's Product Choices.
6. Netflix
$1 billion is
the total amount saved by Netflix due to its machine learning algorithm that
helps personalize content recommendations for its users.
The Impact of ML in these Tech Companies is very high, 91.5% of the world’s most important companies are already investing in machine learning, automation, and artificial intelligence and 20% of top executives consider that machine learning is an integral part of their companies’ operations.
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