AI vs Machine Learning

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

[RamaldaVandebroek]

by far the most concise explanation of the difference between AI, DL and ML. they seem to be interchangeable in many contexts though... like 'Lemon AI' isn't called 'Lemon DL' although it's based on deep learning models 🤷‍♂

[Zale]

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.

[camiam]

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!

[cgatama]

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

[bernstock]

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

[FelipeNavarro]

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!

[henrikolsen]

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

[kapildatar]

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

[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.

[aagvivius]

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

[haroldasraz]

Brilliant simple introductory explanation on AI vs ML. Cheers.

[sgiiwgf]

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.

[NK-iwrq]

Another great video from Jeff and the IBM team.

[frankspeer]

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

[Buqammaz]

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

[dbiswas]

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

[Rahul_Rao_]

Love it how simply and concisely he explained.

[petereusebio]

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.

[robertcormia]

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.