“Machine Learning is the last invention that humanity will ever need to make.”
Isn’t it fascinating to see Machines working on their own? I think Machine Learning is turning everything into a reality that we saw in movies since our childhood. Machine Learning is turning this world into a dreamland.
Machine Learning is probably one of the most fascinating fields of this century. With its amazing applications, Machine Learning has left no industry untouched and its soon gonna sneak right into our routine lifestyle.
To sum it up in one line, the applications of Machine Learning are more interesting than Machine Learning itself.
Are you already a Machine Learning practitioner?
If YES, then you must try your hands on these Top Class Machine Learning Projects.
TOP MACHINE LEARNING APPLICATIONS
Machine Learning is now into almost everything that we use today. So, here are some Machine Learning applications that you probably didn't know about.
Image recognition is one of my favorite Machine Learning applications. We come across this phenomenon almost everywhere nowadays. Be it our phone locks, the photos that we upload on Facebook, or the fascinating self-driven cars, this application of ML is everywhere to be found.
In image recognition, an object is classified as a digital image. The measurement of each pixel tells about its outputs of a digital image. In the case of black and white images, the intensity of one pixel turns out as one measurement.
Chatbot, an ML application that has revolutionized the concept of virtual assistants. It is at a level where there's hardly anyone out there who isn't aware of it. Alexa and Siri are now more popular than they've ever been.
And why not? Who won't love getting things done by just a simple sentence? We absolutely love it. All you need to do id activate them and instruct the assistant for certain tasks like- "set an alarm for 6 AM for the next morning."
Not your surprise, Machine Learning is showing its magic in the healthcare sector as well. Machine Learning is already in practice in the healthcare industry and will probably come up with answers to the hardest of the challenges that it faces.
It offers various tools, methods, and techniques which are crucial in solving prognostic and diagnostic problems. Along with this, it is also used for analyzing the clinical parameters for prognosis. For example, making predictions on disease progression, squeezing out medical knowledge for research, and much more.
Search Engine Results Refining
There's hardly any day in our lives where we don't use Google for anything at least once. The most common purpose that we use it is for searching for something or the other. However, do you know that the Google search engine uses ML? Yes, it does.
For every search you make, Google uses the keywords in your searches to present you with better results. With those keywords, it shows you different web pages. You can do a similar search with a different keyword. It shows you some new web pages as well. With this Google uses your search history to improve its search engine. It aims to provide even better search results after every search. All with the help of Machine Learning algorithms.
Classification and Regression
Classification and regression, two of the most important applications as well as concepts in the field of Machine Learning. Technically, classification is an activity in which the data is classified into different labeled classes.
Regression, on the other hand, is applied when there's a need to find the closest possible outcome. In classification, the training data is already available. We just have to run the model only. Whenever we run the model, the machine learns something from the training data.
Amazed? Don't be.
This was just a trailer of the wonders that Machine Learning does. To have a look at the complete picture, you just have to click on the below link-
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