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Machine learning is a branch of artificial intelligence. Computers are often automated to collect data for which they are programmed. Machine learning takes this one step further, as it automates data analyzing in computers. Machine learning algorithms are designed to test for certain conditions in the obtained data and then interpret the results. With a minimum amount of human intervention, the data set can be explored. This makes the process of finding hidden patterns and insights in the data simple. Machine learning had started with a focus on pattern recognition and the ability to perform basic tasks. Extensive research in artificial intelligence has now changed the dynamic. Machines have become capable of making complex decisions, and now can apply complex mathematical calculations when solving problems. Google cars is a prime example of machine learning. REAL WORLD APPLICATIONS OF MACHINE LEARNING The most common use of machine learning can be seen in smartphones. Face recognition techniques use machine learning and image processing to analyze hexadecimal RGB values to identify an individual. Assistants such as Google, Alexa or Cortana use machine learning to provide increasingly personalised results for each user. Speech recognition uses a voice interface model for dialing, speech-to-text conversion or for Google searches. In the healthcare industry, machine learning is applied to check for disease progression, patient management and therapy recommendations. Machine learning can use various test results and diagnostic reports to match all possible symptoms and narrow the disease. As the number of transactions increase online, so does the possibility of frauds. Machine learning systems are designed to perform a quick and thorough check during transactions to help in fraud detection. It does this by checking for anomalies or abnormal practices. Email or spam filters are also based on a similar concept. These systems keep evolving with more data analysis. Google maps use machine learning to give out predictions regarding traffic, shortest possible routes and estimated travel time. Online Cab services also estimate the fare using this system. MACHINE LEARNING VS HUMAN EXPERTISE Machine learning has been changing view of the business industry. There is no doubt that the memory and processing power of computers far exceeds the capabilities of an average human. The volume of data that was once considered challenging, can now be analyzed and interpreted in a matter of minutes. Machine learning plays a key role as far as production practices are concerned. The products are intended to reach potential customers in an optimal time, while sustaining quality. However, when it comes to unpredictable business strategies and the relevance of information obtained, the human brain is superior. The human brain is more flexible and creative than a computer. Humans can look at situations from new angles, which cannot be achieved by programmed machines. Humans also retain the ability to react to new trends and practices faster than algorithms. The most successful business decisions are able to harness the strength of both; i.e., the creativity of the human brain and the processing power of machines. RESOURCE BOX Machine learning may seem intimidating at first, but it is easy to learn with the correct approach. ExcelR provides the best machine learning course that is designed to take the best approach

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