Assume you search Machine Learning on Google. Well, whatever the results you will see are carefully curated and ranked by Google using Machine Learning! That’s how embedded Machine Learning is in the present technology. And day by day is going to increase in the future. According to some survey, the International Data Corporation predictions that spending on Artificial Intelligence and Machine Learning will grow from $12 Billion in 2017 to $57.6 Billion by 2021.
There are so many applications of machine learning in different fields reaching from entertainment to healthcare to marketing. In this post deals with the top Machine Learning Applications that are seeming in upcoming 2020 and that will no doubt pave the path for more Machine Learning applications in the future as well.
Also, read: Advanced machine learning algorithms 2020
1. Machine Learning Applications in Social Media
Right now, everyone using social media, and social media sources like Facebook, Twitter, Linkedin, etc. these are the first terms that pop out while thinking about social media. Well, guess what! A lot of the sorts in these stages that puzzle you are actually achieved using Machine Learning.
For example, let’s take ‘People you may know’. It is difficult how social media platforms can guess the people you might be familiar with in real life. And they are right most of the time!!! Well, this charmed effect is attained by using Machine Learning algorithms that analyze your profile, your interests, your current friends and also their friends and various other factors to calculate the people you might possibly know.
Again another different application of Machine Learning in social media is facial recognition. Well, it might be unimportant for you to recognize your friends on social media but how do social media platforms manage it? Well, it’s done by finding around 100 reference points on the person’s face and then match them with those already available in the database. So, the next time pay care when you are on social media and you might see the Machine Learning behind the Magic!
2. Machine Learning Application in Marketing and Sales
Now if you log onto any E-commerce sites like Amazon, Flipkart and Myntra they will endorse you the latest devices because they understand your geeky propensities based on your previous perusing history. Similarly, if you love Pasta etc, then Zomato, Swiggy, etc. will show you restaurant recommendations based on your tastes and previous order history. This is correct across all new-age marketing sections like Book sites, Hospitality sites,Movie services etc. and it is done by implementing personalized marketing. This uses Machine learning to identify different customer segments and tailor the marketing campaigns accordingly.
Another new area where ML is popular in sales is customer support applications, particularly the chatbot. These chatbots use Machine Learning and Natural Language Processing to interact with the users in textual form and solve their queries. So you get the human touch in your customer support interactions without ever directly interacting with a human!
3. Machine Learning Applications in Traveling
Almost everyone has a love-hate relationship with traveling! While you love driving along a scenic route on an empty road, I am sure you hate traffic jams!!! And to solve some of these problems related to traveling, Machine Learning is a big help. One of the common examples of ML in traveling is Google Maps. The algorithm for Google Maps automatically picks the best route from point A to point B, by relying on the projections of different timeframes and keeping in mind various factors like traffic jams, roadblocks, etc. Also, the names of various streets and locations are read in Street View and then added to Google Maps for optimal accuracy.
4. Machine Learning Applications in Healthcare
Can you imagine a machine diagnosing you based on your symptoms and test results? Well, you don’t have to imagine anymore as this is now a reality. Machine Learning provides various tools and techniques that can be used to diagnose a variety of problems in the medical field.
For example, Machine Learning is used in Oncology to train algorithms that can identify cancerous tissue at the microscopic level at the same accuracy as trained physicians. Also, ML is used in Pathology to diagnose various diseases by analyzing bodily fluids such as blood and urine. There are also various rare diseases that may manifest in physical characteristics and can be identified in their premature stages by using Facial Analysis on the patient photos.
So the full-scale implementation of ML methods in the healthcare environment can only enhance the diagnostic abilities of medical experts and ultimately lead to the overall improvement in the quality of medical care all over the world.
5. Machine Learning Applications in Smartphones
Almost all of us have a smartphone permanently glued to our hands!!! So what are the applications of Machine Learning in Smartphones that contribute to making them such addictive devices? Well, one of those is the Personal voice assistants in smartphones. I am sure you all have heard of Siri, Alexa, Cortana, etc. and also heard them based on the phones you have!!! These personal assistants are an example of ML based speech recognition that uses Natural Language Processing to interact with the users and formulate a response accordingly.
Image Recognition is also a main part of Machine Learning in our Smartphones. Image recognition is used to identify your friends and family in clicked photos by analyzing every pixel and finding their facial orientation points and then matching them with those already saved in your gallery.
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