Application of machine learning in Artificial Intelligence
Artificial Intelligence is a word that even the people who are not familiar with computing is also rather familiar with and it’s the most fascinating field in technology, as it’s so tempting to pay attention to a field that will develop computers and computer-based machines into having a similar thinking patterns like a human. Even though the end goal of creating a fully functioning AI that can think and function just like a human seem a bit far away , one can’t simply say that Ai is not successful . It’s true that robots who can think and develop emotions like us humans is rather unlikely scenario for now but from disease recognizing machines to self-driven cars it’s one of the most fascinating technology that humans have developed yet.
It is known that humans are a species who can learn from their mistakes and create a better solution for the upcoming problems. For example , a baby who is born without the ability to walk will eventually learn how to flip, with multiple attempts in a span of months, and will learn how to crawl and eventually learn how to walk on their own after carefully learning from it’s failed attempts. What if the computers and robots can do the same? Machines can be programmed and designed to learn from the data sets given and not be cornered only to follow actions and this technology is called machine learning. Big software companies like google Facebook use machine learning as the key to make their customer experience more customized for them. For example, google will analyze our most recent searches and will supply us with similar pages through advertisements .
“the field of study that gives computers the ability to learn without being explicitly programmed” is the definition Arthur Samuel gave for machine learning hence one can say it’s the field of pure wonders.
Machine learning is a part of artificial intelligence and is rather new in the field nut the applications it has supplied to the world of AI is immense. There are many hidden and beautiful findings that helps us with our daily lives created by applying AI and Machine Learning. There are four main types of machine learning algorithms.
1)unsupervised learning
Unsupervised learning doesn’t supply the types of data . This data is neither classified nor labeled but the algorithm will review the data set and come up with a function to classify the structure of the unlabeled set of data.
2)supervised learning
This learning algorithm is used when a labelled data are used and studied to predict future events. The system will be able to predict any new input after some training.
3)semi supervised learning
This learning algorithm is a learning method that falls in between supervised and unsupervised algorithm. For this , a small amount of labelled data and a larger amount of unlabeled data together will be given and the main purpose of the labelled data is to train from it.
4)Reinforcement learning
This is a method where the algorithm studies while interacting with the environment and creating actions to determine errors and success.
All the four types of algorithms specialize in their areas and should be chosen accordingly when you apply them to real life applications , as the algorithm decide the success rate of the functions.
A more common application based on AI and machine learning is Recommender systems. The online user can customize their site to the preferences of their customers .For instance When a user is swiping through /scrolling through an online shop and buy a certain type product or rate a product with higher end rate , similar products/ products from the same brand will reappear more. Same goes to social media apps. This has substituted the boring ,difficult way of browsing and made the sites more approachable.
In my younger days as a girl whose only sibling were already a high school graduate and out of home , I wished so much for the next thing that I’m about to mention . It’s the ‘HELLO BARBIE’. Barbie have created an AI and ML based toy that refer to the child’s question recorded by a microphone in the barbie’s necklace and identify it and output the most appropriate answer through the pre recorded answers . Similar toys are all the rage during 2015’s to now.
AI and ML invading the culinary arts must be one of the most exiting things that happened for the food lovers. IBM have created a sous chef who is AI enabled called ‘Chef Watson’. And that give us a brief sneak peak of the restaurants in the future of technology.
Many big companies like Google , Facebook , yelp , twitter and the Chinese search engine Baidu is deeply invested upon using and continue using AI and ML into their business.
As many of you have already heard of the big names like Google and Facebook I would like to talk about how Baidu, a Chinese search engine invest upon applications of AI. Baidu’s R&D lab have a fascinating development called ‘Deep Voice’ which is a new approach of AI and ML using deep neural networks to create completely synthetic voices . The ‘Deep Voice 2 ‘ is one of the most promising developments in the field of natural language processing.
Many of medical based research now involve the applications of AI and ML , and the recent epidemic outbreak has made the researchers create an interesting development in the field . It is called PROMED EMAIL , a web-based program that will monitor the diseases and predict the future epidemic outbreaks which will help the world to get ready before facing a wave of deadly disease.
Above mentioned applications are just a drop of water in the sea of AI and ML researchers , and many more achievements will be accomplished to create better more easy ways to handle day to day problems and global problems.
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