In this new era of technology human being are focusing on building systems that learn and grow by themselves from experience rather than programming each and every action of the machine .This idea of self –learning has made a place in the branch of Artificial Intelligence as Machine Learning.
Examining data and constructing well organized logical models with a clear pattern for good decision making are the key factors of machine learning .The machine models that are created after data is examined are checked for new cases for checking the adaptability of the logical model to give constructive and correct results .One of the application of machine learning is bifurcation of customer reviews by the system and trying to collect the data about likings and non-likings of customer and then suggesting them the product according to their interest .Another application is distinguishing the users over internet according to their searches and finding patterns which involves unfair means .This will help us to detect unfair activities and stop them before happening.
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Nowadays most of the industries who are having large number of customers and users all over the globe are using this technology for efficient working and producing good results for customers.
Machine learning is widely used in many sectors and one of the major sector is health care .It is helping the medical experts with the help of sensors and devices to get improved diagnoses and examine the health of the patient according to the given data and provide better treatment .Another sector where it is used financial services .It helps us to know when and where to invest and helps us to invest profitably .It also involves identifying clients who are at risk ,identifying unfair activities and preventing fraud.
There are some basic and popular methods of machine learning .The most commonly user method is Supervised learning .In this a set of data consisting of the input and the correct output is given .The system generates algorithm and make changes according to the end result .This method is basically used for predicting the future happenings according to the historical data .It is used in our mobile which is having a feature of speech recognition and unlocks our mobile devices.
Next is Un-Supervised learning,it does not have any previous data with itself .In this method the system has to evaluate and explore the data and identify a structure .It can be used in industries to find the customers with similar interest and group them together for suggesting the product they like.
Another one is Reinforcement learning , it is widely used in gaming technologies and robotics .This method uses hit and trial method and checks which path gives the maximum advantage.
Machine Learning works with help of algorithm .It basically builds the system with the set of algorithms which are assigned task such that they coordinate among each other to produce the best results.
Now the world has set a foundation on Machine Learning .It is in a good position to skill-up their technology to next level to change human experience of living in this beautiful world of machines.
