What is Machine Learning?
Arthur Samuel, a developer in the grounds of artificial intelligence and computer gaming, coined the term “Machine Learning”. The term machine learning (ML) is used to describe the idea of training computers to learn in the same way that humans do. It is seen as a division of artificial intelligence (AI). The choice of processes depends on what type of data we have and what kind of task we are trying to systematize. We are programmed to learn from our experience as are machines. Machine learning comes into the picture when problems cannot be solved by means of classic approaches. Machine learning is aggressively being used in today’s world, perhaps in many more places than one would expect.
The Future of Machine Learning
Artificial intelligence and machine learning are big buzzy terms making more noise now than ever. The accessibility of big data platforms and digital data has enhanced the effectiveness of AI/ML, making them better in many applications than humans. As businesses increasingly move their procedures to the cloud, they’re identifying the potential to connect the almost limitless power presented and tap into artificial intelligence and machine learning technologies to deliver insights and value to the business that were previously beyond their reach.
Where real-time intelligence for intricate decision-making procedures is vital for businesses today, anticipating the presentation of the markets in nearby future years will be best fulfilled with ML over human labor force. In fact, machine learning has been used across countless disciplines from healthcare to schooling and it is showing no sign of slackening.
Machine learning in the form of tailored learning could be used to give each student an individualized educational experience. Personalized learning is an scholastic model where students guide their own learning, going at their own pace and, in some cases, making their own decisions about what to learn. This is a huge breakthrough in education since many people are always wondering about what they want to do in their lives and always need some kind of guidance. Machine learning and automation can help make educated decisions to these students in help.
In healthcare, ML is very advanced. Researchers and scientists have arranged models to train machines for identifying cancer just by looking at cell images. Machine learning is heavily being used to design treatment plans for cancer patients, promptly analyze results from medical lab and clinical tests to escalate the complaint of the patient to the appropriate specialist instantly, and conduct scientific investigation for drug detection. Data is being used to help patients to the core of their problems. How is this possible? All that is required, is, high calculation machine, a large volume of good quality image data and machine learning models with good algorithms to succeed state-of-the-art outcomes.
Eliminating the Mundane Work
One of the biggest uses of machine learning is getting rid of the mundane administrative tasks that we all dislike. It is not a matter of machine learning executing what a human can’t do but of ML refining the productivity of a task that is cumbersome and time-consuming for human workers. From marketing to customer service, businesses are finding ways to use machine learning to restructure operations. Mundane tasks eliminated but still completed—and completed with increased accuracy. As machine learning has triggered worries that our jobs will be replaced by AI, the actuality is that machine learning is already permitting humans to get on with the more interesting aspects of their jobs as AI slogs away at the more mundane features of tasks such as data mining.
By the very nature of this intelligence, machine learning and many other kinds of automation eradicate the conception of human error, and keep projects on-task and on-point. According to Adobe’s The Future of Work: More Than a Machine study, 84 percent of US office workers say technology frees them up from boring tasks. Two in three say they want to use AI at work so they can have a “personal assistant” to share everyday tasks with—it’s Siri for the enterprise set.
In recent news, hardly a day goes by where we don't hear about the latest expansion in Artificial Intelligence and Machine Learning. We are in the age of Intelligence. Machine learning is not just for data scientists. Even simple decisions powered by ML can benefit you. Interested in understanding how machine learning can be of great use to you and your company? Come and learn about these benefits that machine learning can offer you at our Intelligent Automation Week in Nashville, TN from December 2nd-5th. View the full agenda: http://bit.ly/IANASH19-MLBLOG