Machine Learning is the application of Artificial Intelligence that allows the system to learn automatically and improve from experiences without being explicitly programmed. The main object of machine learning is "to learn without human interfere".
Example:
Ads recommendation in the shopping website.
Friend suggestions in social media.
Scope Of Machine Learning:
ML In Education - Teachers can use Ml Technique to track whether their students attending classes or not, How many getting lectures properly? The ratio of students falling from examination decreases using Ml in Education Sphere.
ML in Digital Marketing - In Digital Marketing ML is used widely. Companies have information, and interest about their customers and then send messages based on this information to increase company sales.
ML in Search Engines - Search engines depend upon ML to improve their services like Voice recognition, Image search.
Spam Detector - Ml is used to detect whether a given mail is spam or not. It stores important mail in separate folders and is not essential in spam folders.
ML in Healthcare - With the help of ML a large amount of data on any disease symptoms gets collected and stored which is beyond storing by a normal human, predicting any illness before it worst at a lower cost.
Traffic Alert - Everyone uses Google Maps and it stores a lot amount of data like direction, destination, location, timing, etc. Map algorithm uses this huge amount of data to predict upcoming traffic.
Google Translator - Google Translator also uses ML techniques to translate one language to another language.
Limitations of Machine Learning-
Although Machine Learning has great advantages it has some limitations as well which are as follows-
Accuracy depends upon testing data which is always not available.
Requires a large amount of data to get an accurate result.
A lot amount of resources and costs are required for a large data set.
Output/performance is not guaranteed.
A machine can't learn if there is no data set.
Data sets have different variations.
