Artificial Intelligence, Machine Learning, and Deep Learning Where humans fascinating creatures. They have sensations, sense their surroundings, and have a brain. They can think rationally because of their brain. The computer is also intelligent. They can complete massive jobs in a matter of seconds. Become a Data Scientist with 360DigiTMG Data Science course in Hyderabad. Get trained by the alumni from IIT, IIM, and ISB.
On the other hand, the computer only does what the user instructs it to do. It does not have its own brain. What happens if a machine starts thinking like a human? Isn’t it crazy? That, my friends, is artificial intelligence for you. Artificial intelligence mimics the human mind’s capabilities by utilizing the computing capacity of computers to execute jobs and solve problems. In a word, artificial intelligence is the capacity to imitate the human brain’s intellectual and decision-making skills in robots. Earn yourself a promising career in data science by enrolling in the Data Science Classes in Pune offered by 360DigiTMG.
Artificial intelligence is a broad domain, and both machine learning and deep learning fall under it. You can think of artificial intelligence as a big container. Inside this container, we keep another container, which can be called machine learning. We keep another container inside the machine learning container, called deep learning. In this way, we can visualize the hierarchy. Want to learn more about data science? Enroll in the best Data Science courses in Chennai to do so.
Now you may wonder what machine learning and deep learning are. Let’s find out!
What exactly is machine learning?
Explaining machine learning in a few words would be very difficult given how humungous it exactly is. So many industries depend on machine learning. To speak in layman’s terms, in machine learning, huge datasets are fed to a computer (which is the machine in this case), and based on what is given as input, the computer identifies patterns out of it, and when, in the future, another data is input, it tries to identify what patterns it has generated previously is similar here. This would be rather an oversimplification; however, under the hood, machine learning is a technology that has seen more progress than anything. Are you looking to become a Data Scientist? Go through 360DigiTMG’s PG Diploma in Data Science and Artificial Intelligence!
Understanding deep learning
Deep learning is a subbranch of machine learning. That is to say. It is a subcategory of machine learning itself. One of the key examples where deep learning is used is self-driving cars. How do you think a driverless car drives so effortlessly on the road, recognizing all the stop signs, traffic lights, incoming pedestrians, incoming traffic, and much more? Well, deep learning it is. Deep learning is something that humans have been practicing for a long time now, to learn with the help of examples. It is because of deep learning that numerous voice-activated devices work. Such devices first recognize a sample voice, learn different voice patterns, and then operate accordingly.
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Is deep learning different from machine learning?
This would be a tricky question. However, to put it simply, machine learning comes under artificial intelligence, while deep learning, on the other hand, itself, comes under machine learning. So technically speaking, deep learning is not different from machine learning; rather, it is a part of it. However, one notable difference can be that in a machine learning query, the data taken into consideration has to be structured. At the same time, it is not the case with deep learning because deep learning involves the usage of neural networks. Similarly, one can say that machine learning is the next step to artificial intelligence, while deep learning is the next step to machine learning.
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