Machine learning is a branch of Artificial Intelligence. Technology is advancing to new levels. These advancements are having a great influence on humankind. Technology helps people to fulfill their needs. If the needs or wants increase, the technology itself evolve to fulfill that need. Sometimes technology changes or advances according to the change in the surroundings. For example, the invention of computers reduced the workload of employees. When the time changes workload will increase automatically. So for reducing that workload the efficiency of computers need to be increased. So computers undergo tremendous changes and become what we are seeing now.
We humans are doing things or completing our work based on our intelligence. When we use a computer, we are giving commands to the computer. If we press a letter or number key on a keyboard the computer uses a code that converts the command to a language that is understood by the computer. Artificial Intelligence is the ability to perform a task by a computer that needed human intelligence. This is the technology that is used in Robots, ATMs, etc. Machine learning is a part of Artificial Intelligence that enables machines to learn by themselves and without the help of programming. Machine learning-enabled programs evolve themselves.
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Key Features of Machine Learning
Machine learning is getting more popular these days. Artificial Intelligence is the base of machine learning. There are some key features for machine learning. They are:
- Data Visualisation
The amount of data dealing by businesses or people are very huge. It cannot be done with the help of programming languages or coding. In advanced technology machine learning offers so many tools for data visualization and interpretation. Machine learning offers different automated tools which help to visualize data automatically.
- Automation
The main feature of machine learning is that it helps to complete tasks with the help of automation. Automation helps the business to increase its productivity. This is the main reason why firms turning towards automation processes. When it comes to sectors like finance, machine learning helps to handle huge data with the help of automation.
- Customer Engagement
For every business relationship with customers is very important. For making customers engaged with the business, it seeks the help of machine learning. For example, if a person searches about a particular product the computer itself gives suggestions related to his search keywords. This piece of pieces of information is used by businesses to connect with people.
- Data Analysis
We know data analysis was a huge task when it was done manually. There were more chances of errors. And then comes the help of coding. It helped a lot in analyzing huge data and reducing errors. When it comes to machine learning it gives accurate results by analyzing data.
- Business Intelligence
Machine learning can explore more areas that are helpful for business. Big data analysis and the characteristics of machine learning jointly make business intelligence at its best. In different sectors like finance, retail, healthcare machine learning gives its best to improve the services and enhances business intelligence.
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Machine Learning Examples need to know
1. Features of Social Media
Social media has now become an inevitable part of our daily life. Most people spent most of their time on social media applications. Machine learning closely observes our search keywords in social media apps and the type of posts we engage more. These analyses are used to suggest pages or groups or posts which is preferred by the user.
2. Recommending Products
This is another example of machine learning. If the user is searching for a product on the internet, say smartphones, he will get recommendations of the same through advertisements and suggestions. A new launch of phones or offers for phones will be provided to the user. These are all done with the help of the keyword the user used to search.
3. Image Detection
Image detection is an example of a notable machine learning technique. It is used for verification purposes also. In smartphones, there is face recognition for identifying the user. There are companies using face detection for employee recognition and attendance marking purposes. Pattern recognition is also a part of this technique.
4. Healthcare and Medical Services
Machine learning techniques are widely used in healthcare and medical services. For example, a patient who comes for consultation will be provided with a token number. The patient can understand his position in the queue and can calculate how much time will take him to consult the doctor. Machine learning techniques are also used in therapy and disease detecting.
5. Translating Languages
Another key example to look out for. We all see websites or applications which run in the English language and local languages. There are options to translate languages from one language to another languages. From a global perspective, this is key for communication. There are many language translating devices that enable smooth communication even if you are away from your homeland.
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Conclusion
Machine learning is now used across all sectors and has so much influence on daily life. From our social media activities to data analysis across all industries machine learning plays a key role. Machine learning is a part of Artificial Intelligence that is improving technological advancements which is helpful to mankind. The evolution of technology is aided by artificial intelligence and machine learning.
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