AI vs Machine Learning 

00:34 AI is defined as exceeding or matching the capabilities of a human, including the ability to discover, infer, and reason. 01:30 Machine learning involves predictions or decisions based on data and learns from the data rather than being programmed. 02:29 There are two types of machine learning: supervised and unsupervised, with supervised having more human oversight. 03:03 Deep learning is a subfield of machine learning that involves neural networks with multiple layers, but the system may not always show its work fully. 04:09 AI is a superset of machine learning, deep learning, and other capabilities such as natural language processing, vision, text-to-speech, and robotics. 05:37 Machine learning and other capabilities are subsets of AI, and all of them are important parts of AI.

These IBM shorts have become my go-to to get up to speed on technical concepts quickly. I hope you continue to produce these. Thanks a lot!

Big shout out to the creator for explaining everything so clearly and interestingly, BUT MOST IMPRESSIVE TO ME, WRITING EVERYTHING BACKWARDS. WELL DONE!!!!

Simple, concise and well explained. Best explanation I've come across so far on ML vs AI

Excelent video! Had much difficulties to learn the difference between concepts, with this is sums very clearly and comprehends the difference between those two. The Venn diagram helped a lot to understand and comprehend better thank you very much! Nice content!

The first clear and concise explanation of this I've found. Awesome thank you

I really need a full course with this amazing professor. It was an outstanding master class. 🎉

Brilliant simple introductory explanation on AI vs ML. Cheers.

I love when someone can help clearly define something like here, with precise and not dumbed down descriptions.

BY FAR the best explanation I have seen of the concepts and great use of visuals. I have watched over 100 videos on the topics and this is the most concise and clear explanation. Great definitions and visuals. Subscribed.

The simplest , shortest and clearest explanation I have heard so far. Thank you.

This was great! Wonderful visual to explain MI, AI, and DL. Excellent!

Another great video from Jeff and the IBM team.

That is an excellent and straightforward explanation. Loved it!! Thank you!

Love it how simply and concisely he explained.

An amazing video and explanation. So easy to understand for those with no background to AI.

This actially is very timely since we are seeing a lot of tools just immediately being tagged as an AI. A good example of machine learning are image generators such as Bluewillow which uses datasets.

Excellent description. Cleared things up for me. Thank you!

The best and clearest video of explaining the differences

Very well explained. This is a common confusion and it has been tackled brilliantly. Thanks!

Love how that was explained thoroughly, but I'm also expecting in the future, for touch to be a part of the AI, but that might be for future interactions. I believe that AI integration will be a crucial part, and sending this message to the right audience would greatly impact this through platforms like Cleo that pushes the "Marketing for Good" concept.

This was great! As an instructor, I value plain spoken, logical and imformative presentations. This was all of these!. I was surprised that he didn't expound on neural networks, perhaps that a bit too deep into the weeds, but the context of AI, machine learning, and deep learning was very well presented.

Brilliant explanation! Well explained, yet very precise!

perfect explanation of diff between AI and ML, I have seen so far. 👏🏻

Entirely thanks to this amazing introduction and expression. Very useful

Superbly explained! Thank you

The video and the production quality is insane. I have been on RU-vid for so long, but this is the one! History!

Such a good explanation! Keep it up, editor/producer/director/etc.......!!!

Clearly explained.

Simple and concise. One of the best and easy to understand explanations on ML and AI. Got me to pause several times as the explanations sounded profound at a time where confusing ideas are being shared across.

Trust me ! You are only guy in the whole wide world that got the layman question and answered it properly

Awesome short videos -excellent for quick learning !

Very clearly and precisely articulated!

To sum up, ML is integral part of AI!

thank you very much for the simplistic explanation

This was so simple! At least now I have an idea of the differences. I think some generative AIs are more of machine learning. Like some of the image generators like Bluewillow or Midjourney.

Absolutely fantastic video! Your clear explanations made complex concepts feel so approachable.

Excellent video! Especially works great to make sales people to understand the concept of AI and its subsets!

Clear Articulation of the AI and ML and how it related. Hats Off.

Very good explanation video! Though I personally would not say that all of ML is contained in AI. I'd say that ML is one way of building/creating AI, but not everything done with/for ML would be considered AI.

Thank you, crystal clear now for the three concepts of AL/ML/DL.

I love how simply it's clarified, and I believe people should know the difference. I went for the interview for “AI Intern” at a startup, and later found they were doing ML, but referring to it as AI.

thanks for bringing that out into the open. i was suggesting to my former boss that we could some form of ml or deep learning to get a machine make parts and self adjust, either threw feedback or vision of the part it was suppose to produce. instead of them taking 4 days to get a machine working. he no clue what i was taking about. i would still like to create a business that implements ml or deep learning on machines that have no pid. Using a raspberry pi and some sensors to measure timing and measure point that can be adjusted.

Thank you so much Sir for this clarification 👌👍! I'm really impressed with the simplicity in your explanation.

Simple and clear explanation. Thank you.

Thanks for simplicity and yet short compressive explaination of inter related concepts

Amazing teaching technique. Made is super simple to understand

Now I understood AI & ML Great explanation

Cette vidéo est géniale, synthétique et structurante , bravo à l'interlocuteur pour cette explication simple et condensée.

Wow. Very understandable explanation. You explained it effectively.

Super knowledgeable! Thank you very much. 😊

Well explained. It tackles the confusion mathematically. Thanks for sharing.

simple, easy, clear explanation

Good stuff, well explained. Thanks a lot!

This was very helpful, thank you!

Very Easy Explanation , Well Done !!!

Danke für die Klärung der Begriffe.

The most essential fact, in my opinion, is that AI and ML are literally subsets of " Computer Science. " If you can acknowledge all the abilities of critiquing & becoming a computer scientist then every other subject follows as they all coincide. Correct me if I'm wrong, but CS is basically the Godfather of learning any type of machine learning or artificial intelligence in the technology field. Anyways thanks for this brilliant video, Mr. Crume! Oh yeah, all of these subjects are subsets of us humans, it's funny because AI and ML learn from us just like we learn from each other on a daily basis.

Clearing explications. Thanks à lot.

So informative ,thanks for sharing

Are those videos all one continuous take or the editing is so good I can't notice the cut? Great content, really well explained.

Explain very well, great

Thanks. So clear.

Thanks.. clearly explained

Machine learning, natural language processing, reactive machines, computer vision are all subsets of AI. Thank you for this very helpful video.

Clear and concise big W 👍

Great clarity

I like this definition. Thank you!

For people who want to know how he is able to write in reverse, so that we, watching the video, could understand, is that they edited it to be a mirror reflection, meaning he actually writes with his right hand.

Sir explanation was very clear. The content was really easy to understand. Please talk about reinforcement learning.

I love AI topic, thanks for sharing such great content 👏

This guy is casually writing backwards.

Thanks for this very much.

Thank you for presenting a way to think about AI and ML. I have been thinking that the vast number of people talking about AI today are really meaning ML.

This is explained perfectly. Thank you!

Good stuff! More journalists need to watch this type of PSA to stop inadvertently spread misinformation!

Great quick explanation

Thanks.. Simple explained..

Thanks! Very interesting!

Aha 😮 - now I get it, thanks a ton . Very clearly explained

very good. tks for the content.

great explanation!

That's right. Equating AI to ML only was a global PR campaign involving really huge money. A few distinct features in addition: A common program executes a ready algorithm. AI can generate new algorithms. This is called problem solving. ML can't be equated to neural nets either. Training modifies synapses and creates some structure, but you can do it manually yourself. There are very useful solutions of this kind.

Thanks for the explanation. I remember back in University we also have a thing in AI subject called Expert System

Thank you so much for share video

The best explanation 👍

This was very helpful. Thank you for making this

Thanks, you really help me

Thank you very much!

Awesome job. I'd love to see a video that discusses generative AI as well.

Everything outside the ML box is domain of AI. ML is what is used to make models in each of the domains. Not sure if this classification makes sense. It's like placing gradient descent in the bucket of ML. It's an algorithm which could be used for training an ML model.

This method used to draw on the board is very successful. Most of the old fashioned board is not efficient because while u are writing something on the table you lose the interaction with listener. For example, You need to turn your back to listener. If you are talking when you are using the board, then the listener's attention is distracted between what you wrote and what you said. If you don't saying anything when you are using board, then there will be weird silence. So, i really liked this style of using board.

🎯 Key Takeaways for quick navigation: 00:00 Artificial Intelligence (AI) aims to match or exceed human capabilities, involving tasks like discovering new information, inferring from various sources, and reasoning. 01:30 Machine Learning (ML) is a subset of AI, focusing on predictions and decisions based on data, utilizing sophisticated statistical analysis. It learns from data rather than being explicitly programmed. 03:03 Deep Learning (DL) is a subset of ML, involving neural networks with multiple layers. It can provide valuable insights, but the process may not always be transparent. 04:09 AI encompasses ML, DL, and more, including natural language processing, vision, robotics, text-to-speech, and motion. It is a superset that covers a broadrange of human-like capabilities. 05:37 The correct perspective is that machine learning is a subset of AI, emphasizing that when engaging in machine learning or other AI-related activities, one is inherently involved in AI. Made with HARPA AI

Amazing sir, love you 1000 ❤

One of the few channels that can refill my motivation to be a better Engineer

YES, ON POINT👔

Thank you!

Awseome and simple overview. Thanks 😊

great video tnX

I wish I could tag my university professor on this video so he can learn how to teach this subject…