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AI vs Machine Learning vs Deep Learning | AI vs ML vs DL | Intellipaat



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In this video you will learn about the difference between ai vs machine learning vs deep learning also known as ai vs ml vs dl. Most of the people have this doubt about the differences between ai vs machine learning, ai vs dl, deep learning vs machine learning so we have come up with this video tutorial for you to learn and become expert in these technologies. I bet you won’t get a comprehensive detailed video between deep learning vs machine learning vs artificial intelligence on YouTube.
#whatisMachineLearning #whatisArtificialIntelligence #whatisDeepLearning

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12 thoughts on “AI vs Machine Learning vs Deep Learning | AI vs ML vs DL | Intellipaat
  1. Got a question on Artificial Intelligence, Machine Learning or Deep Learning? Do write it in the comment and you will get a response immediately by our expert. For Artificial Intelligence, Machine Learning and Deep Learning training & certification, call us at US: 1800-216-8930 (Toll Free) or India: +917022374614. You can also write us at sales@intellipaat.com

  2. Hope you learned something new from this AI vs ML vs DL video. Please be kind enough to like the video and subscribe the channel. Also feel free to ask your doubt in the comment section below.

  3. ML is learning data presented to machine, i.e. learning set of bird images to classify a bird, and recognising unseen bird image to correctly classify it as bird. There are two types of learning, supervised and unsupervised. Former method requires data that is already classified by humans, where as later compares data with itself for classification of data.
    DL is creating deeper abstract concept from data. E.g. concept of flying in general, which could be developed in machines from both birds and aeroplanes. Birds and aeroplanes together makes this concept in machines at deeper level and hence the word DL. We may not explicitly present concept of flying to machines, but DL techniques should generate them internally automatically. I.e. Learning deeper abstract concepts from data.
    Neural networks can be used for both ML ance DL, it is one of the tools.
    AI focuses more on decision making rather than learning. It uses concepts it has learned to do so.

  4. The major problem i face it what code do I have to write to complete a project.
    For example I want to make some project, How will I decide that for this purpose I need to write only ML code or AI code or everything combined.

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