'Machine Learning Algorithms Explained' by Jelvix machinelearning machinelearning
Machine learning has caused significant changes in the business processes of many companies. And we are not just talking about futuristic products like Siri and Amazon Echo or companies that allocate considerable budgets to R&D programs like Google and Microsoft. In reality, almost any Fortune 500 company makes more money and works more efficiently because of machine learning.
The AI, like a child, tried different methods to find the one that would best achieve the result. It also took the characteristics of the avatar’s physical models into account, making the four-legged one jump and the humanoid one run. The AI was also able to balance on moving slabs, go around obstacles, and navigate off-road.In the example above, walking was described. It will help humanity create trainable robots that can adapt to the tasks at hand.
You could also work with voice assistants like Siri. They use speech recognition systems based on ML. In the future, they could replace secretaries and call center operators.in the future. And you can use it in your applications. But you will need to acquire, configure, and maintain a machine learning infrastructure.Minimizing production downtime. Due to breakdowns, malfunctions, or raw material shortages, downtime can cost a factory millions of dollars. Machine learning can help prevent them.
Exploration of new fields. One of the main problems of the oil, gas, and mining industry is the difficulty in discovering new fields. Machine learning helps speed up this process. Based on the data from previous fields, artificial intelligence builds models that predict where to look for new gas or ore deposits with high accuracy.Assessment of creditworthiness. Usually, in banks, a client’s creditworthiness is assessed by managers.
Machine learning can be used to detect fraudulent account attempts, identify a customer’s identity without a passport, recognize fraudsters from ATM cameras, and analyze customers’ creditworthiness. Many banks have examples of machine learning to prevent fraud. For example,Examples of Machine Learning in Medicine
Automated robotic surgery. Machine learning helps teach medical robots how to operate on patients on their own, taking many factors into account.to teach it how to stitch. Thanks to this training, the robot was able to sew fake wounds, but with an accuracy of about 85%. For real work, this is still not enough. Perhaps in the future, such robots can be used to automate some operations. The video shows the learning process of the robot.
Companies often encounter complex machine learning problems that are difficult to break down into simple sub-problems. They jump from one experiment to another while trying to solve such complex use-cases. This makes it difficult to speed up the development of AI.
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