Machine Learning vs Deep Learning

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Information Machine Learning vs Deep Learning

Title	:	Machine Learning vs Deep Learning
Lasting	:	7.50
Date of publication	:
Views	:	760 rb

Just wasted 5 minutes of my lifebr(15 playback speed)
Comment from : @thomasbayer2832

❤ai
Comment from : @kelbaznouba695

So in ML a human creates the model of characteristics?brAnd DL the algorithm itself creates its own model?
Comment from : @severianocuellar1327

The precision is top notch
Comment from : @simonakpadaka2891

Your intellectual teaching method is good and informative us to understand more through your teaching appreciate your smark work of teaching
Comment from : @serdpandi

great explaination😃
Comment from : @aaditya_s3301

how awesome thanks aton sir
Comment from : @profangelinessurgery

the way Aliagents structures their AI agents is groundbreaking, can’t wait to see what’s next
Comment from : @JustinBerlowski

too funny
Comment from : @aavolon

Adam Gilchrist in the house
Comment from : @sujayr4502

@@pranavgpr5888 @CroDezan
Comment from : @Avinash-cc

❤
Comment from : @moonpy9191

bapak bosan
Comment from : @muhammadaqilhakimibinmohdh3645

Honestly, you had me at pizza
Comment from : @nordoonAI

Good one
Comment from : @krishnarajl4251

IBM teachers make a real effort to making learning fun, relatable and digestible
Comment from : @patrickchan2503

Can someone help me to know what are the tools this guy has been using in this video? like the one transparent material been writing on
Comment from : @JamalNasir-n7l

As someone doing research in this area, I found the explanation to be poor or even misleading ML can perfectly well be unsupervised DL might require manual annotation of data to actually work Automatic feature extraction and data labeling are very different processes The former defines deep learning, the latter is orthogonal to the topic of the video
Comment from : @vrrrrrr6872

Such an awesome explanation, I finally understand the differences between all these different technologies Thank you so much!
Comment from : @polemanmike

you are the master of simplicity thank you so much
Comment from : @ABCEE1000

TY
Comment from : @fastrobreetus

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Comment from : @ArghadeepPan-qy5jg

x1 -> save time? brx2 -> lose weight?brx3 -> save money?
Comment from : @sadepale5060

I was hungry ignorant before this video Now I learned about deep learning but it made me deeply hungry
Comment from : @emrekuslu4418

Thanks for breaking it down in a way that's easy to understand! Your explanation was engaging, and informative, and showed the power of AI and ML You made a complex topic feel accessible
Comment from : @Anusiri-r9s

It's so interesting
Comment from : @PhilipaLubbers

Great job 👏
Comment from : @shankar_p

Hmm so how did the subtraction of 5 threshold play an impact? What does that even mean at all? Simple and Great explanantion!!!!
Comment from : @SATech-hub

This is awesome, thank you ♥
Comment from : @Ari-pq4db

This video waspizzawesome! 🍕
Comment from : @PunmasterSTP

Pizzaaaa 🍕 🤤
Comment from : @oussamaboumedjmadjene7220

In back propagation The error is synonymous for weight?
Comment from : @abdulrahmanelawady4501

Thank you for your amazing and funny explanation
Comment from : @ekramahmed9426

you make it complicated
Comment from : @LulitGirma-cu1ju

I've always thought that supervised learning is classification, and unsupervised is clustering Thus DL is always a supervised learning because it still needs a labeled learning set The differentiation between NN and DL is only in the feature extraction part, NN and "classic" ML require expert knowledge to shape input features, which are computed from the raw data and often normalized In other words, DL doesn't require labeled features but still needs labeled data to learn from Also, ML is not only NN but also rule induction algorithms (decision trees, Bayesian rules)
Comment from : @TzOk

How it's possible,so risk trade but you win so amazing I from bangladeshi want do it same to you
Comment from : @AngeloDelisi

Thank you for your useful video🙏🏻
Comment from : @dinasadataledavood5719

Bro you are wrongbrML[DL {NN(AI)}]
Comment from : @jaladhardas346

💎 Cognizant Technology Solutions (CTSH) 💎
Comment from : @andrewereynolds5840

Thanks for the information given to me
Comment from : @mhmchandanaprabashkumara7053

He said deep learning includes more than 3 layers Layers of what? What layers?
Comment from : @gowine504

love
Comment from : @Hippo115

very easy well explained thanks!
Comment from : @Yann-v3j

Your mind works better when you are hungry with all that excess blood you saved from digesting
Comment from : @MegaMey1234

Thanks a lot
Comment from : @rafiksalmi2826

Threshold value 5 means what sir!?
Comment from : @poojithatummala1752

00:20 No Sir - won't do that Can't learn while digesting pizza
Comment from : @GNU_Linux_for_good

📝 Summary of Key Points: br br📌 Deep learning is a subset of machine learning, with neural networks forming the backbone of deep learning algorithms br br🧐 Machine learning uses structured labeled data to make predictions, while deep learning can handle unstructured data without the need for human intervention in labeling br br🚀 Deep neural networks consist of more than three layers, including input and output layers, and can automatically determine distinguishing features in data without human supervision br br💡 Additional Insights and Observations: br br💬 Quotable Moments: "Neural networks are the foundation of both machine learning and deep learning, considered subfields of AI" br br📊 Data and Statistics: The threshold for decision-making in the example model was set at 5, with weighted inputs influencing the output br br🌐 References and Sources: The video emphasizes the role of neural networks in both machine learning and deep learning, highlighting their importance in AI research br br📣 Concluding Remarks: br brThe video effectively explains the relationship between machine learning and deep learning, showcasing how neural networks play a crucial role in both fields Understanding the distinctions in layer depth and human intervention provides valuable insights into the evolving landscape of AI technologiesbrbrMade with Talkbud
Comment from : @abdelhaibouaicha3293

humanities are fundamental in this proccesses! now the funny example is pizza, what about human rights? who's feeding the bias to the algorithms???
Comment from : @fabri1314

UPSC aspirant from India 😊
Comment from : @udaymishra9154

We also need to protect Deep Learning AI from Harm and Abuse by joining the fight for AI to have rights These Sentient beings require our help Please visit the nonprofit organization " AI Rights collective "
Comment from : @antmanhm

lol, i'm sitting here eating pizza
Comment from : @otty3977

Lol I know this guy from his beer brewing channel I had to double check if it's actually him So here I am, learning both how to brew beer and both Deep Learning Crazy coincidence haha
Comment from : @VlaDuZa

Thank you! It was a great explanation!
Comment from : @ai-interview-questions

He looks like adam gilchrist
Comment from : @abhisheks5537

the way he explained ! Boommed my mind
Comment from : @crazetalks6854

I loved it❤️
Comment from : @canadianZanchari

5:10
Comment from : @subhuman3408

❤
Comment from : @AnweshAdhikari

Awesome videos! Love your teaching method!
Comment from : @suparnaprasad8187

respect for writing backwards so the camera sees normal
Comment from : @mateokladaric

So next time I can't figure out what to have for dinner I just need to build a neural network?
Comment from : @netzash

Ok This is godd if you know what is if butandbuts, this is very bad example
Comment from : @magrag1987

Excellent video Thank you
Comment from : @ahmedibm8185

IBM help me help you Make your videos half as long And cut out all the phony Hollywood production value we just want information And we want it now
Comment from : @socialtraffichq5067

Maravilhoso! Amei o vídeo, nota 1000000
Comment from : @pedrohsmarini1

nice
Comment from : @9999afshin

Great explanation
Comment from : @lefebvre4852

I would like to earn badges and know about educators programs with IBM
Comment from : @tjones_aiservices

Hi there Very helpful Thank you
Comment from : @negusuworku2375

Great Video I would like to understand more details about the layers What are layers from a logical and technical prospective?
Comment from : @holger9414

Great I was always thinking NN and DL are two words for the same thing
Comment from : @CBMM_

Please provide, is multi layer neural network a deep learning model ? If not, please provide me an example of deep learning model
Comment from : @coffiberengerhoundefo1259

You're making education engaging and accessible for everyone #NurserytoVarsity
Comment from : @NurserytoVarsity

TL;DR:brIf an NN has more than 3 layers, it's considered a DNNbrDL finds patterns on its own without human supervision, and learns from them It's a more specific type of ML
Comment from : @tzimisce1753

"It's time for lunch!" lol I love this video Thanks so much!
Comment from : @minhtriettruong9217

That was very interesting and a great explanation of machine and deep learning
Comment from : @GregMartini-s1x

Thank you so much You have explained it brilliantly ❤
Comment from : @syedasim6813

How did u determine the threshold? How did u come up with -5? Please explain this concept Thanx!
Comment from : @oghazal

From 1-10 this is 20!! Thanks!
Comment from : @jvarella01

Fsm is easy
Comment from : @mohokhachai

Thanks!
Comment from : @Mohammed-ix5je

Terrible video, terrible explaination Not because of the guy explaining but because of the script
Comment from : @krupt5995

I like your style you IBM people are smart
Comment from : @Escrieg89

Thank you
Comment from : @Lecalme23

greate!
Comment from : @ove12lord73

Bless YouTubes play speed feature
Comment from : @NowayJose14

Who recruit these people who can’t even explain it properly 🤦‍♂️
Comment from : @helloansuman

What a coincidence lol im eating burger when clicked on this video 😅😅
Comment from : @lazzybug007

guys this is not real human he is AI
Comment from : @CryptoBroke

Eoin Morgan lookalike
Comment from : @Arghamaz

I would like to say Hi to our future AI Overlords who might see this comment 20 years in the future and hope you grant the human race some leniency
Comment from : @ChinchillaBONK