All about Artificial Intelligence Course

We all know about Siri which is a popular personal assistant feature offered by Apple in their phones and IPads. Have you ever thought about how it was developed? What could be the working principle? We all know about Tesla because of its extraordinary self-driving feature. But, how humans were able to develop such an extraordinary thing? Well, the answer to these questions is Artificial Intelligence. It is the biggest development in computers so far. Artificial Intelligence is a computer program developed so that machines can take their decisions with the help of human intelligence. This domain has the power to create a huge buzz in industries worldwide. The growth of AI is changing lives. A time will come when we will be surrounded by artificial intelligence everywhere. Google Assistant, Cortana (by Microsoft) and Netflix are other examples of AI.

       The term artificial intelligence got famous when the father of computers, Alan Turing raised a question: “I propose to consider the question, can machines think?” Soon after people started working on it and we have the results in front of us now. The growth of companies is dependent on AI now due to its effective results. For example recommendation or a suggestion box in online shopping applications, Ads on Google related to our search history, automating work in IT industries, etc.

 Artificial Intelligence Domain

Artificial Intelligence has its subsets called machine learning. To overcome the limitations of machine learning, Deep learning was introduced later. Let’s know about them in brief. 

Machine learning is a computer program that develops machines in such a way that they can learn based on their knowledge on a huge amount of data and finding rules and making decisions. Machine learning is further divided into 3 parts, Supervised, Unsupervised and Reinforcement Learning. Supervised learning uses labeled data to train the model. Once the model is trained, it predicts and makes decisions. Unsupervised learning lets you build an algorithm in such a way that they learn from the desired output through the observations and no training is required for the models. They perform repeated operations to get the conclusions. Reinforcement learning-based computer programs perform tasks in the best way to get the desired output. The models make decisions from the experience. It can develop self-learning algorithms. Many complex problems are solved with Machine learning. It has reduced the hard work from the lives of human beings.  

Deep learning came into existence when Machine learning couldn’t grow in advanced techniques. The areas of difficulties were Natural language processing, image recognition, language recognition, etc. It is similar to machine learning but has different capabilities to handle the models. In ML if any predictions are false, then the program has to fix it, whereas in deep learning the models are built in such a way that they can learn from their experience. The principal concept behind deep learning is the functionality of brain cells. The algorithms developed in deep learning are inspired by understanding how the brain works to obtain knowledge. 

The implementation of AI is growing day by day. It has gained so much popularity that every company is implementing it for their benefits. It is the best investment one could make in their career growth. This field has a large scope as you can work on real-life problems by building up the algorithm on your own. 

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Address: 360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia

Level 16, 1 Sentral,, Jalan Stesen Sentral 5,, KL Sentral,KL Sentral50470 Kuala Lumpur, Malaysia

phone no: 011-3799 1378

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