Credit: BecomingHuman
Machine learning sounds like something out of a science-fiction novel, but it is becoming a reality for many industries. Machine learning is just one component of artificial intelligence that has made an impact on various industries. It’s here to stay and it’s changing the way that people communicate, travel, work, and live. It’s saving the way that people go about their lives and make important decisions.
What is Machine Learning?
Machine learning is the study of algorithms, data, and models that computer systems use to perform a task. It’s one of the driving factors of AI, automation, and robotics. Machine learning has changed the way people analyze big data. It automatically extracts information and uses that data to make informed decisions and accurate predictions. For example, a spark tutorial is a type of machine learning that processes data in real-time.
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Amazon, Google, and Netflix are just a few examples of popular online platforms that use machine learning to analyze their customers’ purchase and order history to predict what it is they’re looking for or what they want. It’s impossible to gather data without the use of machine learning. It has trickled out to almost any industry and has impacted every part of people’s workday and leisure time. Machine learning has made an impact on the way people live and is building the future of AI and the Internet of Things (IoT).
Education
Robots can’t replace teachers just yet. But through the use of machine learning, some of their duties can be automated. Computers can be used to determine an individual student’s study plans. Meanwhile, algorithms can be used to reduce the time that teachers spend on a given less or on grading tests. An individual’s academic history and attendance can also determine any gaps between their struggles and learning abilities.
Law
Law offices are slowly catching up with this technology. They’re using machine learning to process data related to legal cases. A software program known as Control Intelligence can reduce the time it takes to review cases and documents that could take hundreds of thousands of hours. While it’s unlikely that robots will replace lawyers in the near future, the inclusion of machine learning will reduce the time it takes to complete a case. It could help speed up trials as well as the court process.
Skill & Manual Labor
Tasks that were once taken on by workers are becoming automated, especially in job positions that involve some element of risk or danger or harm, such as in factories and mining. Machine learning has lead to an increase of self-driving trucks in mining areas in Australia. Automation tools, machinery, and robots have also replaced physical labor. For example, most retail stores are incorporating the use of self-checkout and self-service kiosks.
Healthcare
Machine learning is currently taking place in the healthcare industry. Automation programs are being used to diagnose and treat illnesses. These programs are treating patients quicker, decreasing the time a patient spends in the emergency room or doctor’s office. Hospitals are also implementing the use of AI tools to look out for moles and tumors. Machine learning is also being used to find a cure for cancer.
Transportation
Vehicles and transportation are already relying on the use of AI and machine learning. Self-driving public transportation is already being tested in some parts of the world such as China. Google and Rolls Royce are collaborating to design and the possibility of the world’s first-ever self-driving ship by 2020. Canadian aviation companies are currently developing and testing the first autonomous commercial aircraft. In addition, NASA has successfully launched its first autonomous shuttle into space, with current plans to create a model that could bring passengers into space.
Conclusion
Machine learning is changing the way people go about their everyday lives. Major advancements are being made thanks to AI and automation tools. Since this latest technology has been in development for a while, it’s expected to improve in the next decade. It’ll be exciting to see how some of these developments will change in each of these industries.
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Credit: BecomingHuman By: Kevin Gardner
