With all the buzz around big data, artificial intelligence, and machine learning (ML), enterprises are now becoming curious about the applications and benefits of machine learning in business. A lot of people have probably heard of ML, but do not really know what exactly it is, what business-related problems it can solve, or the value it can add to their business. ML is a data analysis process which leverages ML algorithms to iteratively learn from the existing data and help computers find hidden insights without being programmed for. With Google, Amazon, and Microsoft Azure launching their Cloud Machine learning platforms, we have seen artificial intelligence and ML gaining prominence in the recent years. Surprisingly, we all have witnessed ML without actually knowing it.
You might have probably heard about Machine Learning (ML). Do you know what it is and how it can add value to your business by resolving the problems? Let's have a look at some insights on this innovative invention. FREMONT, CA: Machine learning (ML) is an essential application of artificial intelligence that is geared towards the development of computer programs to manage new situations through self-analysis, observation, self-training, and experience. ML should not be confused with data mining and knowledge discovery in data (KDD) basis, which are of identical methodology.
Machine learning (ML) extracts meaningful insights from raw data to quickly solve complex, data-rich business problems. ML algorithms learn from the data iteratively and allow computers to find different types of hidden insights without being explicitly programmed to do so. ML is evolving at such a rapid rate and is mainly being driven by new computing technologies. Machine learning in business helps in enhancing business scalability and improving business operations for companies across the globe. Artificial intelligence tools and numerous ML algorithms have gained tremendous popularity in the business analytics community.
Machine Learning and Artificial Intelligence have gained prominence in the recent years with Google, Microsoft Azure and Amazon coming up with their Cloud Machine Learning platforms. But surprisingly we have been experiencing machine learning without knowing it. The most primary use cases are Image tagging by Facebook and'Spam' detection by email providers. Now Facebook automatically tags uploaded images using face (image) recognition technique and Gmail recognizes the pattern or selected words to filter spam messages. Let's take a look at some of the important business problems solved by machine learning.
Machine Learning and Artificial Intelligence have performed a great role in the recent years with Google, Microsoft Azure,Amazon and many more in their business and other platforms. But still many of us don't know that we have been experiencing machine learning without knowing it.We have adapted many service and systems and we are unaware of that they are part of our daily life or their origin is machine learning.The most primary use cases are'Spam' detection by email providers and Image tagging by Facebook . Now Facebook automatically tags uploaded images using face (image) recognition technique and Gmail recognizes the pattern or selected words to filter spam messages. Let's take a look at some of the important business problems solved by machine learning. But Machines learning (ML) algorithms and predictive modelling algorithms can significantly help to reduce or eradicate these problems or situation.