Machine learning is a hot topic in today’s technology and growing very rapidly day by day. People are using machine learning in our daily life even without knowing it such as Google Maps, Google Assistant, Google Alexa. However, machine learning proposes an abundance of techniques for extricating knowledge from data which can be rendered into purposeful objectives. So, ML algorithms can reinforce the field information and automated function mostly related to regulation and optimization. Also, machine learning can be used in various fields in medical diagnostic, statistical algorithms, scientific research. Below are the applications of machine learning.
Image recognition is one of the most common applications of machine learning. It can be used for identifying objects, persons, places, digital images. The popular use case of image recognition and face detection is automatic friend tagging suggestion. Facebook will provide us a feature of auto friend tagging suggestion. So, whenever we upload a photo with our Facebook friends, then we automatically get tagging suggestion with name and the technology behind this machine learning’s face detection and recognition algorithm
While using Google, we will get an option of search by voice and comes under speech recognition where it is known as the popular application of machine learning, So, speech recognition is a process of converting voice instructions into text, and it is also known as Speech to text. At present, machine learning algorithms are used by many applications of speech recognition. Google Assistant, Siri, Cortana, and Alexa are using recognition technology for following the voice instructions.
If we want to visit a new place, we take the help of Google Maps and show us the correct path with the shortest route and predict the traffic conditions. It can predict the traffic conditions such as whether traffic is cleared, slow-moving, or heavily congested with help of two ways like real-time location and the average time to reach the destination. Everyone who is using Google Maps is helping this app for making it better. Also, it will take information from the user and sends back to its database for improving the performance. This method is the most used applications of machine learning.
One of the most exciting applications of machine learning is self-driving cars. Machine learning will play a significant role in self-driving cars. Tesla, the most popular car manufacturing company is currently working on self-driving cars. It is using an unsupervised learning method to train car models for detecting people and objects while driving.
It is amazing to know how machine learning has changed our lives and made it easy in daily use. Hope that I have covered all the topics in my article about applications of machine learning. Thanks for reading!