AI vs Machine Learning

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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

[@Zale370]

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.

[@gustavozaniboni6312]

a calculator is AI? "AI is defined as exceeding or matching the capabilities of a human,"????

[@jiadong7873]

calculator cannot discover, infer and reason @@gustavozaniboni6312

[@priyanshu5036]

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

[@rishabhtyagi7369]

@@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.

[@sharathnb]

And you used AI to generate this summary. Thank you.

[@camiam88]

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!

[@JJSeattle]

ChatGPT 4 for me - 1/3 of my Gooogling now is ChatGPT 4. I KZbin just for visual entertainment - but give it a few years... .

[@SarFirraEdits]

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.😢😢😢

[@josephmargaryan]

@@SarFirraEdits not my problem

[@sirobert]

@@SarFirraEdits just use AI

[@jonbrownisamazing]

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

[@jeffcrume]

I wish I possessed that backward writing skill but, alas, we just flip the video in post edit. :-)

[@guardons]

the watch betrayed you ;) but cool :)

[@cnydo]

​@@jeffcrume wait how 😳

[@jonthompson8807]

@@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.

[@williamturnbough1190]

He wrote it normally and then they mirrored the video so the text appears the correct direction.

[@ut4321]

EXCELLENT clarity. Finally, someone who truly understands and can explain the components and relationships between these elements of AI.

[@jeffcrume]

So glad you liked it!

[@kapildatar7]

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

[@jeffcrume]

I’m glad you liked it!

[@cgatama]

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

[@reggiearnold6483]

To sum up, ML is integral part of AI!

[@lighttheoryllc4337]

Yesh 😅

[@i_am_acai]

That's like saying spaghetti is an integral part of food

[@Primarycolours-]

​@@i_am_acai ahahaha

[@daniel97xx]

​@@i_am_acai why would you say this is wrong, just trying to understand?

[@antsanders0893]

Thanks lol

[@bernstock]

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

[@kabuda1949]

Clearly explained.

[@FelipeNavarro120]

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!

[@haroldasraz]

Brilliant simple introductory explanation on AI vs ML. Cheers.

[@henrikolsen5]

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

[@jeffcrume]

Thanks so much for saying so!

[@brandonthemanifestor]

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.

[@jeffcrume]

Thanks so much for the great feedback @brandonfuller246! Always good to hear if we are hitting the mark with these

[@NK-iw6rq]

Another great video from Jeff and the IBM team.

[@aagvivius]

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

[@TheMR-777]

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.

[@jimtolman]

Which is not wrong, but simply unspecific/vague.

[@jimtolman]

An AI intern might spend their whole internship on ML and that would fit the definitions described by this IBM guy

[@beaverbuoy3011]

But ML IS AI, its just that ML is a subset of AI

[@olemew]

@@beaverbuoy3011 and is it even a subset? Computer Vision applies ML models to images. NLP is ML for text.

[@croraf]

​​@@olemew exactly, seems that ML is AI in my opinion. At least from the examples given in this video

[@joevi2593]

This guy is casually writing backwards.

[@adamepting]

Haha that would be cool, but what your watching is a software (in the recording equipment) flip everything for the viewer so the backwards is turned correctly without the writer having to change how they write

[@SimowLabrim]

they just flip in post-p.

[@nasongg]

Do you know what this software is called?

[@VardukVorheit]

Hsjsjahahjajajahah For people like you is why shampoo comes with instructions.

[@preciousbees5721]

And left handed

[@frankspeer9847]

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

[@Rahul_Rao_001]

Love it how simply and concisely he explained.

[@dbiswas123]

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

[@capucinnolover]

Enlightening, thanks a lot for the nice AI, ML, and DL intro video!

[@qodesmith520]

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

[@user-sg1ii9wg1f]

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.

[@shawnvandever3917]

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.

[@heymengmm]

The best and clearest video of explaining the differences

[@Buqammaz]

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

[@bhagwandasgupta435]

Awesome short videos -excellent for quick learning !

[@cascossi809]

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

[@olemew]

The examples of AI outside of ML are vision and NLP. But arent Vision and NLP using Machine Learning too??

[@robertcormia7970]

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.

[@jeffcrume]

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

[@Avatar911]

Now I understood AI & ML Great explanation

[@hammadahamed4539]

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

[@jeffcrume]

You’re very kind to say so! It seems to be an area of great confusion. I hope this helps …

[@boopathyKING]

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

[@arefghanaat]

Entirely thanks to this amazing introduction and expression. Very useful

[@AmitSedai]

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.

[@jeffcrume]

So glad you liked it @amit!

[@VipinThakur]

Wow. Very understandable explanation. You explained it effectively.

[@shixxx8]

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

[@madhusudanjoshi442]

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

[@jeffcrume]

You’re very welcome! Thanks for watching!

[@jeneuweenlaf948]

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

[@ManiHemanth]

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

[@writetube]

Brilliant explanation! Well explained, yet very precise!

[@TheZfatt]

Superbly explained! Thank you

[@thiagupillai]

simple, easy, clear explanation

[@MrKasperaung]

Very clearly and precisely articulated!

[@cuongnguyen2954]

Simple and clear explanation. Thank you.

[@nitingoswami8910]

Amazing teaching technique. Made is super simple to understand

[@petereusebio3136]

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.

[@Jake-nj1rv]

You might have missed the "motion" part of what hes saying.

[@AmeerKhan-kd9qw]

Very Easy Explanation , Well Done !!!

[@Ikkerus]

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

[@hotienaugustekone5053]

Clearing explications. Thanks à lot.

[@AlphaBetaGamma_AI]

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.

[@jeffcrume]

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

[@saiakhil1997]

thank you very much for the simplistic explanation

[@roberthuff3122]

🎯 Key Takeaways for quick navigation: 00:00 *🧠 Introduction to AI and ML* - Exploring the difference and the relationship between Artificial Intelligence (AI) and Machine Learning (ML). - Framing the discussion around whether AI equals ML or if they are distinctly different concepts. 01:30 *🔍 Deep Dive into Machine Learning* - Defining Machine Learning as a capability that involves making predictions or decisions based on data. - Introduction to supervised and unsupervised machine learning, emphasizing their differences and how ML learns from data. 03:03 *🧠💻 Introduction to Deep Learning* - Describing Deep Learning as a subfield of ML that uses neural networks to model complex patterns. - Discussing the opaqueness of deep learning processes and their impact on the interpretability of its insights. 03:35 *🌐 AI as a Superset of ML and DL* - Positioning AI as the overarching set that includes ML, Deep Learning (DL), and other technologies. - Exploring domains like natural language processing, vision, hearing, and robotics as parts of AI, illustrating AI's broader scope beyond ML and DL. Made with HARPA AI

[@LuizGustavoAgostinho]

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

[@jeffcrume]

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

[@AdityaDodda]

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.

[@romanroman1850]

The way you train the thing you train... There is everything that can make sense

[@alibaba-ng7vm]

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!

[@voltydequa845]

@@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.

[@katieydiddkatieydidd7269]

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

[@jeffcrume]

Thank you for watching!

[@AlgoBloom]

This was very helpful, thank you!

[@Minimalrevolt-m83]

Super knowledgeable! Thank you very much. 😊

[@viewpoint50]

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

[@brendawilliams8062]

What?I am glad for you. I still can’t separate it from the whole apple.

[@voltydequa845]

@@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.

[@MrAikien]

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

[@jeffcrume]

I’m very glad to know that you liked it!

[@sinikaru]

Good stuff, well explained. Thanks a lot!

[@WorldPresident]

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

[@hansbleuer3346]

Danke für die Klärung der Begriffe.

[@jihongliu5418]

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

[@marwentrabelsi2983]

They are only 1 concept

[@ahmadhelmy1215]

So informative ,thanks for sharing

[@AlexEckelberry]

Great quick explanation

[@starman2995]

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.

[@Anonassassin]

Clear and concise big W 👍

[@rutvijdoshi9664]

Great clarity

[@pubudu313]

Thanks.. Simple explained..

[@camransiddiqui]

Explain very well, great

[@abdullahmahmoud5931]

Thanks.. clearly explained

[@collynchristopherbrenner3245]

Awesome, the Venn diagram wins in explanation power. I'll never forget this.

[@jeffcrume]

So glad you liked it!

[@kebman]

I like this definition. Thank you!

[@perer005]

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

[@Chamelionroses]

Thanks for this very much.

[@johnczech7074]

Thanks! Very interesting!

[@layakumar1619]

great explanation!

[@myultracrepidarianism]

Thanks. So clear.

[@techiebytes1]

very good. tks for the content.

[@waterboy2602]

Awseome and simple overview. Thanks 😊

[@jeffcrume]

Thanks for saying so!

[@LinfordMellony]

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.

[@igorvolkov6396]

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.

[@voltydequa845]

«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.

[@aj-lan284]

Beautifully explained

[@jeffcrume]

Thank you!

[@tilakdavidd2358]

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

[@SuperMyckie]

RL is basically ML without datasets.. it learns from experience.

[@rverm1000]

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.

[@iselas773]

🎯 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

[@bellab1917]

This is BRILLIANT. Great micro-learning - THANK YOU!

[@jeffcrume]

Thank you for saying so!

[@BigDataLogin]

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

[@f.direncaktas]

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.

[@jeffcrume]

Thanks! I’m glad you liked it!

[@aurisme]

Awesome video!! Wondering how this video is created? Is it done by Surface Pro with some special app?

[@jeffcrume]

Glad you liked it. Search for “how we make them” on this channel and you’ll see

[@nazari_co]

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

[@vinthermartin7570]

The best explanation 👍

[@PriyansuMaurya]

Amazing sir, love you 1000 ❤

[@toddb930]

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.

[@jeffcrume]

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

[@sawfhsawfh00]

Thank you so much for share video

[@prabhakaranj1218]

You rocked it ❤ best ever explanation❤

[@jeffcrume]

Thanks so much, Prabhakaran!

[@ashleykays4072]

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

[@jeffcrume]

Thanks, Ashley! In fact, we have a few already on the IBM Technology channel with more to come…

[@voltydequa845]

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).

[@Jackson-kk7hr]

This is explained perfectly. Thank you!

[@jeffcrume]

You’re most welcome!

[@trevorblack2377]

This was very helpful. Thank you for making this

[@jeffcrume]

Thanks for watching!

[@DeAnnaChoi]

GREAT VIDEO!!!!

[@altamir-filgueiras]

Thank you very much!