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REAL-TIME APPLICATIONS Real-Time Applications of Machine Learning pythongeeks
REAL-TIME APPLICATIONS While there are many things that could be achieved with Machine Learning, you might be wondering how you’d be benefited from learning this technology. Though everyone says that Machine Learning will take over our future, the real question that arises here is what is the present-day scope for this technology? What are the fields in which you can work at the present time which would be beneficial to you? If you’re pestered with these questions, then this article from PythonGeeks will help you out. Here, the article will guide you through the practical applications of Machine Learning. You would agree that only learning algorithms isn’t sufficient, you need to know about the present applications and how you can implement your algorithms to develop them further. You need to know why Machine Learning algorithms are so high in demand. How this evolving technology will surge in the future. This article will guide you through all this in just a jiffy. Let’s look at some of the major applications of Machine Learning.
APPLICATIONS OF MACHINE LEARNING 1. Virtual Personal Assistant As the name suggests, this boon of the technology uses Machine Learning algorithms to assist you in finding useful information over voice recognition. All you need to do is just ask for it. The questions could be anything under the sun, these assistants will help you by just instructing them. 2. Predictions One of the major revolutions in the field of Machine Learning is undoubtedly Prediction while Commuting. Be it predicting the fare of your cab ride based on your travel route, or be it predicting the traffic in your way, Prediction algorithms always come to your rescue. While the world is always facing an energy crisis, predicting energy consumption well in advance can solve many of such problems.
3. Product Recommendation Have you ever experienced that for a few days, you’re getting ads for products that you were looking for a few days ago? You searched for some products online and now your favorite social media apps and video streaming platforms now show you ads for that particular product? If not, you might have experienced that your favorite shopping website somehow always shows you products that match your taste. 4. Social Media From automatically suggesting you to your mutual friends to personalizing your feed according to your preferences, Social Media platforms utilize Machine Learning algorithms to customize your experience. These amazing features are just another application of using the algorithms correctly. These algorithms keep track of your activities and on the basis of continuous learning suggest friends and content that are of your interest.
5. Online Fraud Detection Machine Learning is serving its potential by making cyberspace a secure place for transferring and tracking monetary funds. With the increase in the number of payment methods, the plethora of online fraud is also increasing. Experts estimate that nearly a fraud of $32 billion is reported in 2020. 6. Spam and Malware Filtering On any given day, an average of thousands of spam emails and fraudulent mails are sent. But it is not possible for any individual to filter out these emails according to their preferences. That’s where the power of your learning of Machine Learning will help you. The system security programs are powered by ML algorithms to filter out these mails.
7. Video Surveillance With the help of algorithms like behavior analysis, and image detection, we can train the machines to detect crime on the basis of their behavior. The cameras track the behavior of people and classify them as usual or unusual. And once some unusual behavior is tracked, the system can then alert the human attendants which could then avoid any mishaps. Thus, this helps to reduce the crime rate and improves the quality of surveillance. 8. Search Engine Result Filtering Customizing your search results have always been the core idea behind a better search experience. This is what the leading search engines focus mainly on and achieve so by using Machine Learning classifications. Every time you search for something online, the algorithm at the backend keeps track of your behavior toward the search result.
9. Stock Market Prediction When the world is moving towards digitization, investment has become one of the major money-earning techniques. However, the chances of losing money with the ups and downs of the market also increase drastically. To ensure risk-free stock trading, machine learning models are trained to predict the trends of the market in advance. 10. Governance and Surveillance With the increase in numerous technologies, the number of security threats also increases. However, with machine learning, we can train and deploy models which assist humans in the mundane job of surveillance. With technological advancements like drone surveillance, image detection, and numerous others, the risk of security breaches has lowered significantly.
11. Art and Creativity Machine Learning has not only done the job of automating boring jobs like surveillance, tracking, and manufacturing, but it has also helped in enhancing and diversifying the artistic world as well. With various tools like smart prediction of image transitions and audio recommendation, it has opened a whole new world for digital art. 12. Language Translation One of the most heard-of and seen applications of Machine Learning algorithms by far is language translation. With the increase in social connectivity, regional boundaries have become insignificant. However, the lingual barrier still hovers over us. Manually keeping track of all the languages isn’t plausible. But, by training machine learning models, one can cross the border of lingual differences.
Conclusion Hope that this article from PythonGeeks will help you to know the various applications of Machine Learning. You can now choose the field of your interest according to your knowledge of that topic. You can also learn algorithms according to your area of leading Machine Learning Algorithms.
