6 Incredible Machine Learning Applications That Will Blow Your Mind

Machine learning is the latest buzzword sweeping across the global business landscape. It’s captured the popular imagination, conjuring up visions of futuristic self-learning AI and robots. In industry, machine learning has paved the way for technological accomplishments and tools that would have been impossible a few years ago. From prediction engines to online TV live streaming, it powers the breakthrough innovations that support our modern lifestyles.

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What Is Machine Learning?

Machine learning is an umbrella term for a set of techniques and tools that help computers learn and adapt on their own. Machine learning algorithms help artificial intelligence learn without being explicitly programmed to perform the desired action. By learning a pattern from sample inputs, the machine learning algorithm predicts and performs tasks solely based on the learned pattern and not a predefined program instruction.

Machine learning is a life savior in several cases where applying strict algorithms is not possible. It will learn the new process from previous patterns and execute the knowledge. 

One of the machine learning applications we are familiar with is the way our email providers help us deal with spam. Spam filters use an algorithm to identify and move new kinds of junk messages to your spam folder.

Several e-commerce companies also use machine learning algorithms in conjunction with other IT security tools to prevent fraud and improve their recommendation engine performance.

Let’s explore other awesome applications of the machine learning phenomenon that’s weeping the world!

1. Automating Employee Access Control

Organizations are actively implementing machine learning algorithms to determine the level of access employees would need in various areas, depending on their job profiles.

2. Marine Wildlife Preservation

Machine learning algorithms are used to develop behavior models for endangered cetaceans and other marine species, helping scientists regulate and monitor their populations.    

3. Regulating Healthcare Efficiency

Significant healthcare sectors are actively looking at using Machine Learning algorithms to manage better. They predict the waiting times of patients in the emergency waiting rooms across various departments of hospitals.

The models use vital factors that help define the algorithm, details of staff at various times of day, records of patients, and complete logs of department chats and the layout of emergency rooms.

4. Predict Potential Heart Failure

An algorithm designed to scan a doctor’s free-form e-notes and identify patterns in a patient’s cardiovascular history is making waves in medicine. Instead of a physician digging through multiple health records to arrive at a sound diagnosis, redundancy is now reduced with computers making an analysis based on available information.

5. Banking Domain

Banks are now using the latest advanced technology machine learning has to offer to help prevent fraud & protect from accounts from hackers. The algorithms determine what factors to consider to create a filter to keep harm at bay. Various sites that are unauthentic will be automatically filtered out and restricted from initiating transactions.

6. Language Translation

Machine learning plays a significant role in the translation of one language to another. We are amazed at how the websites can translate from one language to another effortlessly and gives contextual meaning as well. The technology behind the translation tool is called ‘machine translation.’ It has enabled the world to interact with people from all corners of the world; without it, life would not be as easy as it is now. It has provided a sort of confidence to travelers and business associates to safely venture into foreign lands with the conviction that language will no longer be a barrier.

Credits: Adam Geitgey

Your model will need to be taught what you want it to learn. Feeding relevant back data will help the machine draw patterns and act accordingly. So it is imperative to provide relevant data and feed files to help the machine learn what is expected. In this case, with Machine Learning – it is what you want as a result depends on the contents of the files that are being recorded.

Go through this Simplilearn video on “Machine Learning Introduction” delivered by our Machine Learning experts, which will explain what Machine Learning and its basics are.

Conclusion

With technology evolving at a rapid pace, we are excited about the possibilities Machine Learning has to offer in the days to come. Expand your knowledge in this field, and you could design an algorithm on your own, eventually making our world a better place.

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About the Author

Simon TavasoliSimon Tavasoli

Simon Tavasoli is a Business Analytics Lead with more than 12 years of hands-on and leadership experience in various industries. He has led the development of many analytic projects that drive product and marketing initiatives. He has more than 10 years of experience teaching Data Science, Data Visualization, Predictive Analytics, and Statistics.

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