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A subset of Artificial Intelligence,
Machine Learning has revolutionized the tech world and leaving a strong impact
on almost every industry. Machine Learning focuses on building statistical
techniques for intelligent computer systems to derive knowledge from available
databases. With the help of Machine Learning, machines are able to take all
customer data and utilize it while also adjusting with new changes and
conditions. Machine Learning algorithms are such that they help develop
behaviors that were not programmed. Teksands is an ed-tech company and
provides Online Courses on Data Analytics in India, Deep
Learning Online Course, and offers Best Online Machine
Learning Courses India.
Machine Learning has created a lasting impression on many industries already and is continuing to do so in other sectors as well. Let’s look at 5 real-world examples of Machine Learning to understand how the technology is making a difference.
Image recognition
In the real world, the image recognition feature is the most common example of Machine Learning. In image recognition, the feature can identify the object as a digital image. The results are based on the intensity of the pixels in colour images or black and white images. The image recognition feature is used for many purposes, such as it is used to label an x-ray as cancerous or non-cancerous; it is also used to assign a name to a photographed face and also to recognize handwriting.
Speech recognition
By the use of Machine Learning, many devices can translate speech to text through speech recognition features. In fact, through the feature, some software applications can convert live voice or recorded speech into a text file. The speech recognition feature is used for many purposes including voice dialing, appliance control, voice search etc.
Medical diagnosis
Medical diagnosis is one of the most
valuable inventions of Machine Learning as it helps with the diagnosis of
diseases. In fact, a lot of physicians also use chatbots to uncover hidden
patterns in symptoms. The medical diagnosis feature is beneficial and used for
many purposes like assisting in disease diagnosis, recommending treatment
options, recognizing cancerous tissue, analyzing bodily fluids etc.
Predictive Analytics
Through the use of Machine Learning,
companies can classify available data into groups and defined them by the rules
set by analysts. After the classification, analysts can easily calculate the
probability of a fault through the use of Predictive Analytics.
Extraction
One of the most unique things about Machine Learning is that one can easily extract actionable and valuable insights from structured and unstructured data. Since organizations have ample amounts of data from customers, however, by the extraction process, an organization can easily automate the process by using Predictive Analytics tools. Looking for Online Courses on Data Analytics in India, Deep Learning Online Course, or Best Online Machine Learning Courses India? Get in touch with Teksands.
related article:- How Is Artificial Intelligence So Different Than Machine Learning
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