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AI vs Machine Learning vs Deep Learning | Machine Learning vs Artificial Intelligence | AI vs ML



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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 machine learning vs artificial intelligence, ai vs dl, deep learning vs machine learning, ai 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.
#AIvsMachineLearningvsDeepLearning #MachineLearningvsDeepLearningvsArtificialIntelligence #Intellipaat #MLvsDLvsAI #MachineLearningvsArtificialIntelligence #MachineLearningvsAi

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๐Ÿ“Following topics are covered in this video:
AI vs ML vs DL – 0:54
Machine Learning & It’s Types – 4:29
Types of Supervised Learning – 5:19
Classification Algorithm – Decision Tree – 6:54
Use Cases of Supervised Learning – 8:06
Unsupervised Learning – 9:55
Unsupervised Algorithm – K-means Clustering – 10:32
Use Cases of Unsupervised Learning – 11:25
Reinforcement Learning – 12:10
Use Cases of Reinforcement Learning – 13:06
Limitations of Machine Learning – 15:19
Automatic Feature Extraction with Deep Learning – 16:04
Deep Learning with Artificial Neural Networks – 16:35
Perceptron – How does it works? – 17:38
Why do we need weights? – 18:31
Perceptron Training Algorithm – 19:09
Deep Learning Application – 19:54
Quiz 1 – 20:44
Quiz 2 – 21:03

In our Artificial Intelligence Master’s course, you will learn about Ai, Machine Learning, Deep learning, tensorflow and this will help you become a successful AI architect in future. You can get more details about our course at – https://intellipaat.com/artificial-intelligence-masters-training-course/

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Why Artificial Intelligence is important?

Artificial Intelligence is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Artificial Intelligence that are being deployed everywhere from search engines to online movie recommendations. Taking the Intellipaat deep learning training & Artificial Intelligence Course can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.

Why machine learning is important?

Machine learning might just be one of the most important fields of science that we are just moving towards. It differs from other science in the sense that this is one of the one domains where the input and output are not directly correlated and neither do we provide the input for every task that the machine will perform. It is more about mimicking how humans think and solving real world problems like humans without actually the intervention of humans. It focuses on developing computer programs that can be taught to grown and change when exposed to data.

Why should you opt for an Artificial Intelligence career?

If you want to fast-track your career then you should strongly consider Artificial Intelligence. The reason for this is that it is one of the fastest growing technology. There is a huge demand for professionals in Artificial Intelligence. The salaries for A.I. Professionals is fantastic.There is a huge growth opportunity in this domain as well. Hence this Intellipaat Artificial Intelligence tutorial is your stepping stone to a successful career!
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18 thoughts on “AI vs Machine Learning vs Deep Learning | Machine Learning vs Artificial Intelligence | AI vs ML
  1. Guys, which technology you want to learn from Intellipaat? Comment down below and let us know so we can create in depth video tutorials for you.:)

  2. Following topics are covered in this video:

    AI vs ML vs DL – 0:54

    Machine Learning & It's Types – 4:29

    Types of Supervised Learning – 5:19

    Classification Algorithm – Decision Tree – 6:54

    Use Cases of Supervised Learning – 8:06

    Unsupervised Learning – 9:55

    Unsupervised Algorithm – K-means Clustering – 10:32

    Use Cases of Unsupervised Learning – 11:25

    Reinforcement Learning – 12:10

    Use Cases of Reinforcement Learning – 13:06

    Limitations of Machine Learning – 15:19

    Automatic Feature Extraction with Deep Learning – 16:04

    Deep Learning with Artificial Neural Networks – 16:35

    Perceptron – How does it works? – 17:38

    Why do we need weights? – 18:31

    Perceptron Training Algorithm – 19:09

    Deep Learning Application – 19:54

    Quiz 1 – 20:44

    Quiz 2 – 21:03

  3. Thankyou intellipaat for such a claer explanation..
    I m really very lucky to get informative vidoes of present technology from you..
    Really thanks a lot..

  4. ๐Ÿ‘‹ Guys everyday we upload high quality in depth tutorial on your requested topic/technology so kindly SUBSCRIBE to our channel๐Ÿ‘‰( http://bit.ly/Intellipaat ) & also share with your connections on social media to help them grow in their career.๐Ÿ™‚

  5. Very usefull and clear idea .hello sir i have learned python it has been one year since my grads .i am interested in AI can u help me out what should i pursue now to get good job in this Field

  6. What will be the expected output of your AI course ?
    Means what can I learn and what can I able to do by the end of the course AI provided by you ?
    Need help ๐Ÿ™‚

  7. Man bro call me crazy but that technology type takes a intelligent and common sense person as ur self

    But that type tech is a very dangerous and way to advance technology information that not many people in the u.s are educated maybe only 10% u.s citizen are. And if some avrage person tries to use it and does something wrong it could be very bad

  8. Should I start with deep learning and machine learning before artificial intelligence.or I don't have to learn I can directly learn ai. Can I learn ai and iot together..if I learn ai will I get all knowledge about all subset of ai or I have to choose one

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