In simple words, machine learning, a subset of artificial intelligence, is something where computers or devices are programmed to make a decision, identify objects, photos, voices without any external coding or efforts.
Even without knowing machine learning, we have been using its applications, like email agents to filter the spam emails, smartphone’s face unlocks feature, image recognition, voice identification by Google assistant, Siri, and so on. With a machine Learning Online Course, you will get to know more about its applications in several fields.
In this article, we will highlight some general applications that you probably have used at a point of time.
Google assistance, Siri, and Alexa are the few examples of machine learning. The process involves making a machine or device advanced refers to machine learning.
From neural networks to deep learning, machine learning has come a long way. Initially developed for the computational purpose, the foundation of machine learning was laid by Alan Turing when he managed to develop the “Turning machine” to demonstrate if the computer has intelligence.
Once cold-shouldered in the world of technology, now machine learning is all the rage as it is applied by the various technologies developing more user-friendly digital space and bringing down the human efforts by making machines perform like a human. Though we have achieved a lot, the full of machine learning is yet to come.
Applications of Machine learning
To help you understand the applications of machine learning in several domains below are a few examples of machine learning.
1. Spam detection
Whether you know or not, your email agent works round the clock to prevent you from spammers. To identify the spams, the filters powered by machine learning are regularly updated in order to safeguard countless users.
Over 100k+ malware or spams are being pushed by spammers. The systems or programs functioning like the human brain supported by machine learning understand the pattern and protect users.
2. Personalize content
The social platforms are leveraging the power of machine learning to serve the relevant content, better ad targeting by analyzing one’s online activities with machine learning. You might have noticed the popular social networking site Facebook introduced a feature “people you may know”, a way back and even Facebook can identify your photos with the help of machine learning.
3. Chatbot
4. Better Search Results
Google’s search engine works day and night to serve the results each customer raises.
Have you ever contemplated how the search engine manages to fetch the appropriate result by scanning the billions of pages in a little time? How does the search engine provide the best possible results?
Unlike traditional programming to respond to the users, the program at the backside analyzes the users’ behavior on a particular search result like if users open the top page and how long they stay on the particular page to learn from statics to enhance its features automatically.
5. Virtual Assistant
Google Assistant and Siri are the most popular personal assistants that respond over voice. They can help you find several answers, information, remind you of the particular task, fetch your online orders, remind you about any event you planned earlier, etc.
Machine learning plays a significant role to develop virtual assistants as they track your activities and use that data to provide you tailored results.
How to study Machine Learning?
To be proficient in machine learning, you don’t need to be a great code writer as this work requires more logical skills rather than programming abilities. Hence, this is a job to train a machine to learn from others like customers’ behavior, trends, etc.
You probably have understood it is a job to feed the data to the machine or device in such a manner so it could perform like humans without manual coding.
Now we have understood the importance of machines, written for the students who are eager to make their career in machine learning. After studying machine learning you will have better opportunities to work in the industry.
Ways to Overcome the Problems in Machine Learning
If you are studying machine learning, here are 3 common problems that you might face or probably have faced before.
1. Identify the Problems
For example, a feature called smart reply you might have used. This was developed after knowing users spend a lot of time to reply to the email or messages therefore smart replies developed to save the users’ time.
So, the first step before working on any modal is to identify the problems by going through the piece of code step by step.
2. Focus on Data
3. Balanced efforts
Suppose you are going to create a program to predict the computers’ performance for the gaming and you choose ML to predict the gaming experience and use the processor as the main feature. That means the better processor will ensure better speed. However, it might prove wrong as you have not considered other features.
On the other hand, you start pushing everything on the program irrespective of knowing what is useful to determine the result by doing so, you will end up designing complicated programs with unnecessary features.
Conclusion:
In today’s world data is the most precious asset. Having hands-on training to manipulate, analyze, organize the data may open the doors to the acclaimed companies to serve as a machine learner, data scientists, or analysts.
The world of AI is exhilarating. The machine learning program is a way to turn yourself into a professional ML expert. The learning of machine learning with the institute by enrolling in the short term program will provide you a glimpse of how an artificial intelligence industry works.