Applications of ML-
“Machine Learning - The Technology Which is Nurturing the Growth of New Products”
What is Machine Learning?
Machine learning is simply the study of computer algorithms that improve automatically through experience and by the use of data. It is a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as ‘training data’, in order to make predictions or decisions without being explicitly programmed to do so. ML is used in various fields in our day today life.
Applications of ML-
1. Social Media
We use social media platforms in our day today life. Social media platforms use machine learning algorithms and approaches to create some attractive and excellent features. For instance, Facebook notices and records your activities, your chats, likes, and comments, and the time you spend on specific kinds of posts. Machine learning learns from your own experience and makes friends and page suggestions for your profile.
2. Image Recognition
Image Recognition is one of the most significant and notable Machine Learning and AI techniques: an approach for cataloging and detecting a feature or an object in the digital image. This technique is being adopted for further analysis, such as pattern recognition, face detection, or face recognition.
3. Gaming
In video games, by machine learning methods artificial intelligence (AI) is used to generate responsive, adaptive or intelligent behaviors primarily in non-player characters (NPCs) similar to human-like intelligence. … Modern games often implement existing techniques such as pathfinding and decision trees to guide the actions of NPCs.
4.Product Recommendations
One of the most popular and known applications of machine learning is Product Recommendation. Product recommendation is one of the stark features of almost every e-commerce website today, which is an advanced application of machine learning techniques. Using machine learning and AI, websites track your behavior based on your previous purchase, your searching pattern, your cart history, and make product recommendations.
5. Banking
Banks are now using the latest advanced technology machine learning has to offer to help prevent fraud & protect 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. Self Driving cars
We Know Tesla, the most popular car manufacturing company is working on self-driving car. One of the most exciting applications of machine learning is self-driving cars. Machine learning plays a significant role in self-driving cars. It is using unsupervised learning method to train the car models to detect people and objects while driving.
7. ML in Medical and Health Care
Significant healthcare sectors are actively looking at using Machine Learning algorithms to manage better. In medical science, machine learning is used for diseases diagnoses. With this, medical technology is growing very fast and able to build 3D models that can predict the exact position of lesions in the brain. It helps in finding brain tumors and other brain-related diseases easily.. ML algorithms also come to play when detecting a disease, therapy planning, and prediction of the disease situation.
8. Stock Market Trading:
Machine learning is widely used in stock market trading. In the stock market, there is always a risk of up and downs in shares, so for this machine learning’s long short term memory neural network is used for the prediction of stock market trends.
So here we covered some of the important features of Machine Learning in this blog. By now, you must be quite insightful about AI and ML , but there’s more to it. Machine Learning is definitely the future.
So what are your opinions and thoughts about the machine learning and artificial intellegence. Do you think it will change the whole defination of technology?
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