AI vs Machine Learning
Vložit
- čas přidán 9. 04. 2023
- Learn more about watsonx: ibm.biz/BdvxDS
What is really the difference between Artificial intelligence (AI) and machine learning (ML)? Are they actually the same thing? In this video, Jeff Crume explains the differences and relationship between AI & ML, as well as how related topics like Deep Learning (DL) and other types and properties of each.
#ai #ml #dl #artificialintelligence #machinelearning #deeplearning #watsonx
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.
a calculator is AI? "AI is defined as exceeding or matching the capabilities of a human,"????
calculator cannot discover, infer and reason @@gustavozaniboni6312
no calculator is not AI because a calculator doesnt thinks .It just replies to data fed to it. AI calculator means say calculator calculated the total expense for chritmas and campared with your budget and then came with some decision of How much money should be appropriate to expend taking into account other expenses like house rent ,kids college fees and other miscellaneous expenses. @@gustavozaniboni6312
@@gustavozaniboni6312 it has predefined algo. It can't process NLP. The 2 main core parts of are intelligence are taking input (hear, smell, see, touch, and taste) and then computing the input with previous data and coming up with an output.
And you used AI to generate this summary. Thank you.
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!
ChatGPT 4 for me - 1/3 of my Gooogling now is ChatGPT 4. I CZcams just for visual entertainment - but give it a few years... .
What are the go-tos for English speaking fluency then 😢😢😢. I'm non-native struggling English speaker. How to know about what phrase or different types of words to on different scenarios and for the exact thought expression.😢😢😢
@@SarFirraEdits not my problem
Big shout out to the creator for explaining everything so clearly and interestingly, BUT MOST IMPRESSIVE TO ME, WRITING EVERYTHING BACKWARDS. WELL DONE!!!!
I wish I possessed that backward writing skill but, alas, we just flip the video in post edit. :-)
the watch betrayed you ;) but cool :)
@@jeffcrume wait how 😳
@@cnydo you have a camera in front and in back. think of the pen and the point it touches the clear glass screen. if you take the front camera and the back camera they both touch at that same point? all you need to do is sync the "front view" with the contact point of the "back view" also i have no idea what i am talking about and made this up. no clue how they do it.
He wrote it normally and then they mirrored the video so the text appears the correct direction.
I really need a full course with this amazing professor. It was an outstanding master class. 🎉
Simple, concise and well explained. Best explanation I've come across so far on ML vs AI
The first clear and concise explanation of this I've found. Awesome thank you
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!
I love when someone can help clearly define something like here, with precise and not dumbed down descriptions.
Thanks so much for saying so!
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.
Thanks so much for the great feedback @brandonfuller246! Always good to hear if we are hitting the mark with these
This was great! Wonderful visual to explain MI, AI, and DL. Excellent!
The simplest , shortest and clearest explanation I have heard so far.
Thank you.
I’m glad you liked it!
Brilliant simple introductory explanation on AI vs ML. Cheers.
Superbly explained! Thank you
Another great video from Jeff and the IBM team.
Love it how simply and concisely he explained.
Entirely thanks to this amazing introduction and expression. Very useful
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.
The average person has no idea what ML is. Everyone knows the word AI. I call it AI all the time because of this reason.
That is an excellent and straightforward explanation. Loved it!! Thank you!
An amazing video and explanation. So easy to understand for those with no background to AI.
To sum up, ML is integral part of AI!
Yesh 😅
That's like saying spaghetti is an integral part of food
@@i_am_acai ahahaha
@@i_am_acai why would you say this is wrong, just trying to understand?
Thanks lol
thank you very much for the simplistic explanation
Excellent description. Cleared things up for me. Thank you!
Such a good explanation! Keep it up, editor/producer/director/etc.......!!!
The best and clearest video of explaining the differences
Very well explained. This is a common confusion and it has been tackled brilliantly. Thanks!
The examples of AI outside of ML are vision and NLP. But arent Vision and NLP using Machine Learning too??
perfect explanation of diff between AI and ML, I have seen so far. 👏🏻
Clearing explications. Thanks à lot.
Explain very well, great
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.
You might have missed the "motion" part of what hes saying.
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.
Which is not wrong, but simply unspecific/vague.
An AI intern might spend their whole internship on ML and that would fit the definitions described by this IBM guy
But ML IS AI, its just that ML is a subset of AI
@@beaverbuoy3011 and is it even a subset? Computer Vision applies ML models to images. NLP is ML for text.
@@olemew exactly, seems that ML is AI in my opinion. At least from the examples given in this video
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.
Thanks so much for the great feedback! Yes, I would have liked to delve deeper but we try to keep these videos relatively short on the channel but certainly an area I’ll consider for the future as a separate video
Brilliant explanation! Well explained, yet very precise!
Awesome short videos -excellent for quick learning !
The video and the production quality is insane. I have been on CZcams for so long, but this is the one!
History!
Thank you, crystal clear now for the three concepts of AL/ML/DL.
They are only 1 concept
Clearly explained.
Very clearly and precisely articulated!
Clear Articulation of the AI and ML and how it related. Hats Off.
Simple and clear explanation. Thank you.
simple, easy, clear explanation
Danke für die Klärung der Begriffe.
Amazing teaching technique. Made is super simple to understand
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.
So glad you liked it @amit!
Wow. Very understandable explanation. You explained it effectively.
Well explained. It tackles the confusion mathematically. Thanks for sharing.
What?I am glad for you. I still can’t separate it from the whole apple.
@@brendawilliams8062 «What?I am glad for you. I still can’t separate it from the whole apple.»
--
Nicely spotted! Nothing else but ML repackaged to seem beyond ML.
Absolutely fantastic video! Your clear explanations made complex concepts feel so approachable.
Thanks so much!
Thank you so much Sir for this clarification 👌👍! I'm really impressed with the simplicity in your explanation.
I’m very glad to know that you liked it!
Cette vidéo est géniale, synthétique et structurante , bravo à l'interlocuteur pour cette explication simple et condensée.
Excellent video! Especially works great to make sales people to understand the concept of AI and its subsets!
Thanks for simplicity and yet short compressive explaination of inter related concepts
You’re very welcome! Thanks for watching!
Very Easy Explanation , Well Done !!!
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.
Now I understood AI & ML
Great explanation
This was very helpful, thank you!
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.
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.
Super knowledgeable! Thank you very much. 😊
Good stuff, well explained. Thanks a lot!
🎯 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
Trust me ! You are only guy in the whole wide world that got the layman question and answered it properly
You’re very kind to say so! It seems to be an area of great confusion. I hope this helps …
Are those videos all one continuous take or the editing is so good I can't notice the cut? Great content, really well explained.
Thanks for the kind complements! That video was recorded all in one continuous shot. Nearly all of the ones I’ve done to date have been done that way but we are starting to experiment with segments and transitions, but those will be obvious. Not trying to trick anyone
So informative ,thanks for sharing
This is explained perfectly. Thank you!
You’re most welcome!
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.
Thanks. So clear.
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.
The way you train the thing you train... There is everything that can make sense
This seems like a IBM marketing video and completely wrong. He defines AI as capability to discover, infer and reason. Then his diagram completely leaves those out! NLP, vision, hearing, speech...you can lose all those and still be human and intelligent. As for ML producing a desired output? Well a bowl of rocks is great system that will give you the most stable configuration ...of a bowl of rocks.
Seems like next video is gonna be hey we've created a system with all these capabilities ...ergo we have created IBM AI. And that AI would be as intelligent as a bowl of rocks!
@@alibaba-ng7vm Could be. Coulde be we are witnessing a period of tentative AI bubbles, where all of them are trying to jump on the bandwagon of GPT parrots presented as AI.
I like this definition. Thank you!
Great quick explanation
Great clarity
Good stuff! More journalists need to watch this type of PSA to stop inadvertently spread misinformation!
Clear and concise big W 👍
Thanks.. clearly explained
Thanks for the explanation. I remember back in University we also have a thing in AI subject called Expert System
This is the education I can afford so thankful for data shared here. Also wish you great things in life.
Maybe where it all has its roots
and was written in prolog)
I was thinking an expert system was more like a dictionary with cross references.
I love AI topic, thanks for sharing such great content 👏
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.
Indeed, they are. Since ML is a subset of AI, they aren’t wrong, just not complete as AI encompasses a whole series of technologies
Machine learning, natural language processing, reactive machines, computer vision are all subsets of AI. Thank you for this very helpful video.
Thank you for watching!
One of the few channels that can refill my motivation to be a better Engineer
@darshansrinivas6883 I’m very glad to hear that!
Sir explanation was very clear. The content was really easy to understand. Please talk about reinforcement learning.
RL is basically ML without datasets.. it learns from experience.
Thanks.. Simple explained..
Thank you so much for share video
Thanks for this very much.
Aha 😮 - now I get it, thanks a ton . Very clearly explained
Awesome job. I'd love to see a video that discusses generative AI as well.
Thanks, Ashley! In fact, we have a few already on the IBM Technology channel with more to come…
I saw a video or two on generative. They were dry, so made very well. Keep searching - that you learn what it is (very interesting), and you'll learn (by a bit of common sense) that there's no AI involved (though it can impress so many people).
Awesome video!! Wondering how this video is created? Is it done by Surface Pro with some special app?
Glad you liked it. Search for “how we make them” on this channel and you’ll see
Awesome, the Venn diagram wins in explanation power. I'll never forget this.
So glad you liked it!
This was very helpful. Thank you for making this
Thanks for watching!
In a way, we can say AI as a mission i.e, we are trying to achieve human like intelligence in machine which is AI and ML and DL are ways to go for it?
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.
Thanks! I’m glad you liked it!
Awseome and simple overview. Thanks 😊
Thanks for saying so!
The best explanation 👍
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.
«AI can generate new algorithms. »
--
Could be sometime in the future. Maybe after 5000 years. So this one, of yours, indirectly proves that there's no AI today.
very good. tks for the content.
This is BRILLIANT. Great micro-learning - THANK YOU!
Thank you for saying so!
Amazing sir, love you 1000 ❤
Great, thx! How does this writing projection tech work, which you use in your videos? I assume you somehow don't need to write mirror text?!
See ibm.biz/write-backwards
@@IBMTechnology 😊🙏 thx a lot!!
Thanks! Very interesting!
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.
Certainly AI is a field of study within Comp Sci. Traditionally, the latter has been focused on programming whereas the former is more about making a system that can learn
Beautifully explained
Thank you!
No wonder Stats majors tend to be really good ML researchers (after attending grad school of course)