How Machine Learning Can Change Future

Data is everything. It is hard to come to a conclusion or to make a decision without data. The secret rule of most successful companies is that those companies value customer feedback and adapt to it. But what is feedback? Feedback is an age-old method for Data Acquisition. The key difference between companies that are successful and the ones that are not so successful is Data.

Data is changing the face of our world. It might be part of a study helping cure a disease, boost a company revenue, make a building more efficient or be responsible for those targeted ads that you keep seeing. Data is of different types and is collected in different ways. For example, we have Personal data, Web data, Sensor data, and Transactional data. Now, the big job is to handle the data and that’s where Machine Learning comes in.

Machine Learning is defined as the process of solving a practical problem by 1) gathering the dataset, and 2) algorithmically building a statistical model based on that dataset. The following statistical model is assumed to be used somehow to solve the practical problem. Machine Learning and Deep Learning (Deep Learning is a part of a broader family of Machine Learning methods based on Artificial Neural Networks) have been improved a lot and are being used in many aspects like Computer Vision, Natural Language Processing, Image recognition, Visual art processing, Bioinformatics, Recommendation systems and much more.

Technologies such as Neural Networks are paving the way through artificial intelligence breakthroughs. People are now more productive, happier and healthier with the great improvement of machine learning technology tools. Unlike the previous generation that used mechanical and physical strength, the AI-driven revolution will harness cognitive and mental ability. Although there lies some of the real word problems that machine learning might need time and effort to improve on.

1)   Natural Disaster Prediction – Researchers have found that AI can be used to predict natural disaster. With enormous amounts of good quality datasets, AI can predict the occurrence of numerous natural disaster, which can be the difference between life and death for thousands of people.

2)   Speedy and inexpensive medical diagnostics – The amount for the test that is been charged for diagnostics are potentially hefty and this can be changed by applying machine learning techniques that can learn itself to identify the problem sooner than humans.

3)   Medical Image Analysis – Deep learning has been shown to produce competitive results in medical applications such as cancer cell classification, organ segmentation, and image enhancement.

4)   Customer Segmentation for targeted advertising – The intent of clustering is to segment group of similar customers and products in market activity. The companies cannot target each customer but rather they can base their preference to target individual clusters.

5)   Better customer care using Chatbots – Chatbots have made the work easy by providing a human-like experience for a lot of organizations. These are designed to handle customer problems where the customer is made to feel less burdened regarding their problems.

6)   Automated navigation in unknown environments for drones and vehicles – Nowadays drones are being developed in every aspect. From video recording to object tracking and detection with proper precision and image quality. Drones are certainly one of the best things that this era has produced. Navigation is a must and the ability to automatically navigate when there’s no involvement of any human interference can change the course of drones.

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