Machine learning is an important element of AI, where a computer is programmed to self-teach and improve its performance. In short, machine learning is the process of analyzing big data and used to make predictions, check whether the result is desired and if not, learning from that to deliver desired result in the future.
Google, Amazon, and other online platforms use Machine Learning solutions to deliver results based on algorithms implementing user's search, purchase and viewing history. The data they have is massive. A recent report published revealed that the number of internet users has reached 7 billion people in 2020. Every second, over 50,000 searches processed, which is an incredible number.
That's a huge amount and requires machine learning to process. But, the implications of machine learning is not restricted for this purpose only and go far beyond it. Machine learning Services are in huge demand among different industries and on daily basis we get the service of this amazing technology. ML is shaping the future of AI & IoT through the automation of manual labor, improving our connectivity and the way we live.
1. Manufacturing
The industry automation is the most obvious shift that machine learning has done. Functions and tasks that were performed by trained staff are being automated. This help in eliminating some element of danger particularly seen in factories and mining work. Driverless trucks are operating in mines, and remotely work from a distant location.
More and more machinery are replacing man power. Local supermarkets are having self-service kiosks and fewer staff. But, the main concern is how a person is going to deal with a machine, as human ability to address issues is missing in the machines.
2. Education
Teachers have to work as educator, diplomat, counselor, mentor, ally, analyst, referee and several more. There's no robot that can perform those functions yet, but with Machine learning development, some of such tasks can be automated.
Computers programs can help to determine study plans, as per student's needs. Algorithms are used to analyze test results, ultimately reducing the time required to spend in grading. Student's attendance and academic history provide insights to determine gaps in learning disabilities. These applications won't work in teacher-less classroom, but will ease the teaching and learning environments to improve the outcomes and lower the student & teacher burden.
3. Health
Machine learning solutions have transformed healthcare to a great extent and it is already being used for quick treatments. Diseases are prevented by predicting the possible health problems, based on age, socio-economic status, and genetic history.
Programs are used to analyze symptoms against databases having millions of illnesses cases for faster diagnoses. This helps to save lives through fast treatment and decreasing the cost of treatment. Hospitals are using AI to detect tumors in radiology scans and analyze different skin cancer moles.
4. Transport
The self-control of transport sector is all because of the machine learning services and AI, and the day is not far when majority of our shipping and rail networks will become automated. Meanwhile, Rolls Royce and Google have designed and launched the world's first self-driving ship. The whole concept is based on the Google's Cloud Machine Learning Engine for tracking objects in sea. Several aviation companies are also investing heavily into building pilotless commercial aircraft.
Wrapping Up
As many people know that Artificial Intelligence is not a new concept. It has been serving humanity from very long duration. Business entrepreneurs have always imagined ways to build engaging learning machines.
Currently, most promising element of AI is the use of Machine Learning. Rather than trying to encode machines, we want to enable them to learn, and make decisions. Machine learning development is in demand, and it is in the process of revolutionizing all of our lives.
Leverage the Power of Machine Learning Technology for Business Growth