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Machine Learning > Learn Machine Learning > What is the difference between AI, Machine Learning,...
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What is the difference between AI, Machine Learning, NLP, and Deep Learning?

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Online Mathematics tutor with 4 years experience(Online Classes for 10th to 12th)

In security, machine learning continuously learns by analyzing data to find patterns so we can better detect malware in encrypted traffic, find insider threats, predict where “bad neighborhoods” are online to keep people safe when browsing, or protect data in the cloud by uncovering suspicious...
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In security, machine learning continuously learns by analyzing data to find patterns so we can better detect malware in encrypted traffic, find insider threats, predict where “bad neighborhoods” are online to keep people safe when browsing, or protect data in the cloud by uncovering suspicious user behavior.

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Adobe Certified , Microsoft Certified Trainer with 9 years of experience

Artificial Intelligence is the concept of creating smart intelligent machines. Machine Learning is a subset of artificial intelligence that helps you build AI-driven applications. Deep Learning is a subset of machine learning that uses vast volumes of data and complex algorithms to train a model.
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C language Faculty (online Classes )

AI is the broader concept of creating intelligent machines, while ML, Deep Learning, NLP, and Computer Vision are specific subfields within AI. ML focuses on algorithms that allow computers to learn and make predictions from data. Deep Learning employs artificial neural networks to model complex patt...
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AI is the broader concept of creating intelligent machines, while ML, Deep Learning, NLP, and Computer Vision are specific subfields within AI. ML focuses on algorithms that allow computers to learn and make predictions from data. Deep Learning employs artificial neural networks to model complex patterns.

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My teaching experience 12 years

AI is the broader concept of creating intelligent machines, while ML, Deep Learning, NLP, and Computer Vision are specific subfields within AI. ML focuses on algorithms that allow computers to learn and make predictions from data. Deep Learning employs artificial neural networks to model complex patt...
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AI is the broader concept of creating intelligent machines, while ML, Deep Learning, NLP, and Computer Vision are specific subfields within AI. ML focuses on algorithms that allow computers to learn and make predictions from data. Deep Learning employs artificial neural networks to model complex patterns.

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Related Questions

Can i do machine learning course after done B.com,MBA ?
No useful.. Don't change your field.
Priya
How do i start learning, machine learning from scratch? considering i'm already in the field of computer science and engineering.
Hi Akash, I suggest you to come to our institute for proper guidance. Our experienced Python Trainer will solve your queries. Thanks, Ethans tech, Pimple Saudagar
Akash
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9
I'm looking for a freelance data science trainer to get the training as most of the institutions are expensive, and they don't allow monthly instalments. I'm looking for a trainer who accepts the fees in monthly instalments because I'm an entry-level working professional and I can only afford to pay a part of the full fees from my monthly salary.
Hi, I will support based on your requirments.
Mahesh

Is it possible to do Machine learning course after B.com and MBA Finance and marketing? Has it got fresher job opportunities? 
Hi, Priya you may go for machine courses after B.com or MBA, and as per your field, you can learn the software related to Accounts.
Priya

Is that possible to do machine learning course after b.com,mba Finance and marketing? 
Yes, you can. But as we know very well machine learning needs some programming fundamentals as well. So you have to go through a little touch up of programming and algorithms.
Priya

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