Mohit Rajora
In this article, you will be reading about the applications of machine learning. Machine learning is considered as one of the greatly exciting technologies which one will ever come across at this time. It is now completely evidently defined from the name that it provides your personal computer or computer or laptop that makes it almost the same to humans: with the great ability of learning.
In order to achieve this goal we need to build intelligent machines. The only best way to do this would be for the machines to understand things perfectly by themselves. An important mechanism for the learning process – if any machine could completely learn from the input then it could absolutely do the main hard work for us or the organization. This is literally exactly where the method of Machine Learning comes into its role.
With the great exponential growth of technology in the industry, we do not only require some better tools in order to understand the data completely we currently indulge in, but also we would require to prepare ourselves from or for the data we will have in the future.
What do you mean by Machine Learning?
Machine learning encompasses a wide array of advanced techniques and technological tools designed to enable computers to independently learn from and adapt to their surroundings. The algorithms within machine learning, coupled with concepts like vector search, empower AI systems to grasp concepts without explicit programming, thus enabling them to execute necessary actions seamlessly.
Some of the most common examples of the applications of the machine learning are as follows:
- Recognition of Image
- Recognition of Speech
- Detection of Fraud
- Self Driven Cars
- Trading in the Stock Market
Recognition of Image
Recognition of Image is one of the many reasons hidden behind the massive growth one could ever have seen in this field of Deep Learning technology. The main task here that is being started from the main classification between the cats and the dogs photos which has now lightened up to the higher level of the Recognition of Face of the object and the real-world use cases which will be depending on the one thing like the employee attendance tracker divide or system. Also, there is one more thing involved in this is the recognition of the image which has helped a lot in the revolution period of the healthcare industry only by increasing the system of employing smart systems for the disease recognition and all the kinds of diagnosis methodologies.
Recognition of Speech
Recognition of Speech is based on the smart systems like you can say; Alexa and Siri, etc. have now certainly come across here and are being used to communicate with other people around the world. In the back of the story you can evaluate that these systems are basically completely based on the recognition of speech systems in your software. These systems are carefully designed in such a way in which they can do the conversion of the voice instructions into a text so perfectly that nobody can ever find out the truth. Now there is another application for the recognition of speech that can be figured out in a day-to-day lifestyle which is performing random Google searches just by using the speaking feature to it.
Detection of Fraud
In today’s technological based world where most of the things or places have been converted into digitized, and are varying from getting toothbrushes or by making money transactions for everything which is possible or accessible and is really very easy to use. But in this very process of the growth of digitization cases of all the kinds of fraudulent transactions being made and fraudulent activities being done, have now increased rapidly on a daily basis.
Finding them out is not really that easy but the new machine learning systems have now proved to be extremely efficient in these important tasks or duties. Because of these applications available only the time whenever the machine system would detect the red flags in any user’s activity found then a suitable reminder will be provided to the administrator in order to handle all these cases that can be completely monitored properly and for any spam or fraud activities shown.
Self Driven Cars
In today’s context, the possibility of encountering a seemingly driverless car, steered by an unseen entity, is no longer relegated to the realm of fictional tales. Thanks to the remarkable strides in machine learning and deep learning techniques, the concept of a “ghost-driven” car has transformed from mere fantasy into a plausible reality. This is further substantiated by the advent of advanced technologies such as the vector database, which underpins this evolution.
While the algorithms and intricate technological landscape that underlie our modern world are undeniably sophisticated, it is fundamentally the prowess of machine learning that has paved the way for the realization of such applications. A prime illustration of this very scenario can be found in Tesla’s autonomous vehicles, a prime example of extensively tested and verified driverless technology.
Trading in the Stock Market
Trading in the Stock Market has now completely remained a keen topic of discussion among the working professionals of it and now even the students because if you would have a real good knowledge of the stock markets and the great forces that drive them away then you can absolutely make a great fortune in this very domain.
It seems that there have now been many multiple attempts to be made in order to create intelligent systems that can accurately predict the future price which are in trends and in the market value also. This could be now globally considered as the main one of those applications of the forecasting series of time just because the stock price data which is shown is literally nothing but is grouped as sequential data in which you will see that the time the data has been now taken away is of the most importance.
