Machine Learning — Digging deep into the roots of a revolution
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Mankind is constantly evolving towards a world of artificial intelligence where the robots will be able to make decisions and perform functions just like humans. This kind of technology can become the perfect substitute for the ever-rising demand of skilled human workforce. Machine learning is the technique used to make artificially intelligent devices and robots. Machine learning enables the computers to learn, think, and make decisions on their own, so that they can assist us in simple to complex tasks.
Different types of machine learning
An ordinary machine trained through machine learning is able to predict the stock market and can improve the business by providing innovative solutions. There are mainly three types of machine learning by which the computers are trained nowadays. They are supervised learning, unsupervised learning and reinforced learning. In supervised learning, a set of questions are asked to the machine and the answers given by it are compared with actual answers. In case of a wrong answer, the machine is programmed to minimize the error and learn from the mistakes so that the accuracy of the machine improves gradually. In unsupervised learning, the machine is provided with large volumes of unorganized data and is instructed to recognize any specific pattern from them and accomplish certain tasks accordingly. In reinforced learning, the machine is rewarded if it works according to the order given and is punished if it doesn’t obey the instructions. In due course of time, the machine learns to maximize the rewards and works as per our requirements.
Real-life applications of machine learning
Machine learning can be used to make digital machines to diagnose diseases, detect cyber fraud, and forecast weather. The machines can be used in shops to attend to the customers. The machines can be used in business to visualize data, forecast the market, predict the sales and do marketing with targeted customers as well. Nowadays, machine learning uses algorithms to recommend the best results to you when you search in Google or on YouTube. Human robots like Sofia are being created and are fascinating us by making real-time decisions and acquiring skills like humans. Whether it’s the ads we come across while scrolling through Facebook or the products recommended by Amazon, the application of machine learning in this digital world is everywhere. The applications are so full- fledged, the demands of people in this field is also skyrocketing.
How to make your career in machine learning
You should come from a mathematics and science background to learn machine learning. You should have proper knowledge about basic linear algebra, probability, calculus, and statistics to proceed in this field. You will need to sharpen your programming skills in any coding language like Python. The machine learning courses today come with deep learning of AI and various assignments tailored to suit the real-life industry projects. You are made to learn and innovate different algorithms using real-life case studies. After acquiring proper knowledge, you can brush up your talents by taking part in Kaggle competitions that will make you more confident and efficient in machine learning.
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