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Aryan K Khanna
Aryan K Khanna

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10 Best Real-Life Applications of Machine Learning

Machine Learning (ML), is a world of technology where algorithms and data join hands to create wonders! Although the concept of Machine Learning has been around for quite some time, it has gotten to do some heavy lifting only in the past few years.

In this blog, we will take you on a thrilling journey as we explore some of the top real-life applications of Machine Learning. Such is the utility of these algorithms, they are reshaping some of the most crucial industries in the world, in other words, transforming the way we live. From autonomous vehicles to energy management, and from healthcare diagnostics to personalized recommendations, Machine Learning is anywhere and everywhere in today’s era.

So, get ready to be amazed by the eye-popping power of ML as we begin to unmask the top 10 real-life applications of ML.

  • Healthcare Diagnostics – Healthcare might not be the first word that comes to your mind when you hear about ML, but such is the diversity of this technology, it is now heavily used in the healthcare sector.

ML algorithms can come up with personalized treatment plans for patients after studying their genetic information, characteristics, past treatments, and other relevant information. At the same time, ML also assists in the analysis of MRI scans, X-rays, and other disease diagnosis.

  • Virtual Assistants – Hey Siri! Hey Alexa! Aren’t these the most frequently used salutations now at your home? Well, we have got to credit ML for the helping hands we now have in the form of Virtual Assistants. These assistants are able to respond to human speech owing to the ML algorithms embedded within them.

  • Predictive Maintenance – We understand the pain of unexpected breakdowns. How irritating it can be when your device has to undergo repairs that aren’t pre-scheduled and now interrupt your work plans. Well, not anymore, ML algorithms are assisting industries in optimizing their maintenance schedules by predicting machine failure in advance.

The key benefit of this shift from a reactive to a proactive approach is, it minimizes costs by reducing downtime and thus keeps your machinery running smoothly for a relatively longer period with any hiccups.

  • Robotics – Now get ready to meet your mechanical companions! All the advancements in the field of robotics have been possible owing to the integration of ML algorithms in the world of robotics. These algorithms help the robots in learning how to interact, how to adapt to the environment, and how to perform complex challenging tasks with high accuracy.

If you take a look back at the development journey of the robotics industry, it has largely been possible due to the rise of ML algorithms.

  • Fraud Detection – The frustration we feel after being cheated by fraudsters is unmatched. But we have a solution now. ML algorithms have acted as a boon to the finance industry.

The algorithms are adept at analyzing loads of data and can thus spot any unusual pattern of transactions in real-time with ease. This leads to significantly lower cases of fraud, and the safety of our hard-earned money.

  • Natural Language Processing – Now bid goodbye to language barriers! Ever wonder how machines are taught the language of binaries can understand our human commands in our language? Well, all thanks to ML algorithms! These ML algorithms are revolutionizing the way we interact with machines. Whether it is chatbots or virtual assistants, Natural Language Processing has broken down language barriers in an unparalleled manner.

The use of chatbots has become especially common in recent times with e-commerce stores employing such features to allow customers to get their doubts clarified instantly.

  • Personalized Recommendations – For savvy online shoppers and binge-watchers, this is arguably one of the best features. We cannot stress enough how important this feature is for giants such as Netflix and Amazon. These companies use ML algorithms in their programs to analyze our tastes and preferences, past interactions, and behavioral patterns to recommend the correct product to buy and the perfect show to watch.

As we are offered more and more tailored products to buy or shows to watch, we tend to give in to our impulse to buy or watch, increasing the revenue of the giants. Talk about impact!

  • Energy Management – Did you know, some ML algorithms have the capability to analyze data from smart grids and devices? How this helps the planet Earth is, it optimizes energy consumption from these devices by analyzing their data.

At the same time, besides discovering energy inefficiencies and optimizing usage patterns, they can also help promote sustainable energy practices, helping build a cleaner tomorrow.

  • Autonomous Vehicles – Remember movies featuring futuristic cars that could fly and be self-driven? Well, we are there, almost!

The latest ML algorithms play a key role in the advancement of self-driven cars. They enable these vehicles to perceive their surroundings, make split-second decisions, and most importantly navigate safely on the road.

The future is indeed now!

  • Social Media Analysis – Prepare yourself to be amazed. This will leave you stunned regarding how businesses harness the power of ML algorithms to crunch massive amounts of social media data to extract invaluable insights. These insights help businesses to better understand the choices and preferences of their customers, which leads to better-targeted advertising.

Eventually, better-targeted advertising leads to better ad performances and thus higher revenue generation.

Final Word

To conclude this piece, you now have an in-depth idea about the immense power of ML algorithms that are sure to have left you in awe. Whether it is providing personalized recommendations, or carrying out tailored healthcare diagnostics, ML algorithms can do it all. There is no denying the fact that these algorithms have been a game changer in not one not two but numerous industries, even those that might have seemed to have no relation with ML algorithms.

Now the future potential of this technology is perhaps boundless. The technology is believed to improve as it analyzes more and more datasets, interesting, isn’t it? The more the algorithms work, the better they get!

ML is sure to revolutionize many more industries as time passes by and solve problems that are now deemed too complex to be solved. There is a high chance that we might soon be living in an era where all sectors including agriculture, education, and finance are benefiting from ML advancements.

But, as the advancements continue, we need to keep privacy, accountability, and transparency at th

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