If you are tech-savvy then you must have heard about AI and Machine learning applications. Machine learning applications are everywhere from being integrated into social media platforms to self-driving cars. The point is that machine learning is significant technology and is growing at a fast pace.
ML is a part of Artificial Intelligence, today we are going to give some examples of machine learning that we use every day.
Social Media Features
You must have noticed Facebook suggesting you specific accounts to follow or friends’ suggestions- all this is a part of machine learning. Social media platforms use machine learning algorithms to create suggestions that are appealing and have amazing features. Again if we talk about Facebook, it notices your chats, posts you have liked, and the amount of time you spend on those posts. Machine learning learns from a person’s choices and offers them the same of their interest.
All this is great because you get a better and personalized news feed. Here are some examples that you may recognize:
Face Recognition: You post a picture of your friend and you, Facebook instantly recognize that friend. How Facebook does this? It’s quite interesting- Facebook checks the pose and unique features in the picture and then matches them with the people in your friend list.
People You May Know: Another great feature but again how Facebook finds people that are related to you in some way? You have to learn one thing about machine learning that is- they work on a simple concept, understanding with experience.
Facebook keenly keeps an eye on the friends you connect with, the profiles you browse, your workplace, interests. On the mere basis of this understanding and experiencing, a list of ‘people you may know’ is created that you can possibly become friends with.
Wonder how you get product recommendations that suit your likings and interests often? Product recommendations are one of the best features of machine learning. Sometimes it even shows you mobile app trends from where you can buy the product. Using machine learning and AI technology a website track your choices and behaviour based on your previous purchases and gives you perfect product recommendations.
To say it in simple terms, sentiment analysis is a real-time machine learning application that evaluates the opinion and emotions of the writer or a speaker. For example, if someone has written an email or a review, a sentiment analyzer will instantly figure out the tone and thought of the text. The best example of a sentiment analyzer is the Grammarly app.
Virtual Personal Assistant
Siri, Alexa, Google Now are some of the most popular examples of a virtual personal assistants. As the name speaks itself, a virtual personal assistant listens to your command (your voice) and finds you information or calls someone and many other functions.
Of course, it is different from having a real human working for you, but still, a virtual personal assistant is the future of humankind. All you have to do is activate the assistant and voila you have a friend and assistant- two in one.
Machine learning is an important part of a virtual assistant as they are responsible for collecting and processing the information. Following are some examples of virtual assistants applied to a variety of platforms;
Smart Speakers: Google Home and Amazon Echo
Mobile Apps: Google Allo
Smartphones: Samsung Bixby on Samsung S8
We hope you now understand how machine learning has become a part of our daily lives. Please share some examples with us of how machine learning is a part of your life in the comments below. And if you want to work on something as exciting as AI then you can fill out the contact us form and we (Trigma team) will get back to you!