Machine Learning and its applications
Machine Learning is an application of AI that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. it focus on development of computer programs that can access data and use it learn for themselves.. In other words, Machine learning is all about providing data to the machine and expecting the machine to learn from the data to make its decision in the future.
The difference between the traditional programming language (like Java, C#, PHP etc) and machine language is that for traditional languages we are providing instruction to the computer in the form of coding and we are generating the output from that whereas in the case of Machine Learning, we are basically dumping a whole bunch of historical data before the system and asking it to learn by itself and generate a pattern. it will do it with specific algorithms provided by us. Here, we are providing both the input and output to the model as input to the model and provides the logic as output. For instance, in the model we can use convolutional networks for identifying complicated images such as AI camera in traffic junctions to find vehicles jumping the signals or we can use a neural networks for NLP in sentimental analysis etc.
The various implementations in machine learning are Netflix (ie., suggest various movies as per your liking), amazon customer preference, Google Maps, Telsa Self Driving Cars, Object/Face/Speech Recognition, sentimental analysis on text or speech and find out the good and bad reviews, Fraud Detectiion, Virtual Assistant like Siri and Alexa etc
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