Machine Learning Explained in 100 Seconds
Вставка
- Опубліковано 8 лип 2024
- Machine Learning is the process of teaching a computer how perform a task with out explicitly programming it. The process feeds algorithms with large amounts of data to gradually improve predictive performance.
#ai #python #100SecondsOfCode
🔗 Resources
Machine Learning Tutorials fireship.io/tags/machine-lear...
What is ML www.ibm.com/cloud/learn/machi...
Neural Networks towardsdatascience.com/a-begi...
ML Wiki en.wikipedia.org/wiki/Machine...
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🎨 My Editor Settings
- Atom One Dark
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- Fira Code Font
Topics Covered
- Convolutional Neural Networks
- Machine Learning Basics
- How Data Science Works
- Big Data and Feature Engineering
- Artificial Intelligence History
- Supervised Machine Learning - Наука та технологія
finally i can add machine learning specialist to my portfolio.
I watched it on 2x in 50 seconds so I can claim to be a ML Expert
Lol 🤣👍
😂
Imagine it would last not 100 secs but 160, you would be able to claim a PhD in Machine Learning
😂😂😂
You know, every time I want to learn some new framework or language, I come here for your 100 seconds series. Every. Time. You manage to explain what's important about a topic in barely 2 minutes, which drives people like me to *want* to learn more.
Love your vids, editing today was 🔥 as always!
And if you don't wanna go PRO, I have a $1 option on github sponsors, thank you for the support! github.com/codediodeio
Why I clicked when I see "lean more"? Is it some marketing shit?
@@Fireship I'm working with svelte now & find it pretty easy.
Can you make a 100sec video on it too ? (Video Suggestion).
I want to know your take on it.
Edit: Grammar/Autocorrect.
the best breakdown of machine learning ever! now I want to learn more how all those ML services work like ChatGPT, Midjourney, Lemon AI.. are you gonna make any videos on them?
Finally ML, thank you so much. I would be interested in a "beyond 100sec", or more short vids in this topic. Keep it up! 🔥
You need university level mathematics to seriously approach ML. I suggest you check this course: ua-cam.com/play/PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS.html It's the best serious introduction to ML I have found anywhere.
@@jorgeestebanmendozaortiz873 thanks for the playlist
@@jorgeestebanmendozaortiz873 I appreciate your suggestion. It will help a lot!
Andrew NGs course on coursera is an amazing material. It really lays down fundaments well.
@@jorgeestebanmendozaortiz873 no need of math and university level
Make a "and beyond" video where you set up a simple CNN, i already know how they work but your voice makes it so nice to learn
I still don't get how you can push out so much content with high quality so often/quickly!
Well done once again 👏
Hello buddy, fancy to find you here
It's creativity at its purest.
Or he's working with team?
Same! Well it would appear that I found about this 2 years later xD
I love the little bits of humour that you inject into the images without acknowledging them in your audio. So good 😸
This!
Def 🔥 makes it memorable
College: Take a 1 year course on ML theory.
Fireship: Hold my 100 seconds!
ikr
Definitely more machine learning content on this channel! I'd love to dive into it with your help!
it's crazy how much info you can deliver in 100 seconds, great video!
I would love some more content on machine learning! Great video as always
Finally
The best explanation of ML in 100 seconds has landed on earth
🔥🔥🔥
This is possible only with Fireship 🔥
There are pretty good chances that UA-cam recommended this video to you because you have searched stuff related to AI and ML on google.
Summarizing a complex topic in such a short amount of time takes real skill! Great video
I was just thinking about learning ml yesterday and you just posted a video, great timing. Love it!
Please more of this, i'm starting a company and we're taking the ML route. This helps me a lot
Would love to see more of these kinds of topics and data engineering as well. In fact just more paths of being a dev/engineer outside of web development.
I think this is one of the better Tech channels for developers on YT so it would be cool to get more of your fast paced yet insightful explanations on some more topics
I love this content, and the concise nature in which its delivered!
I got interests in ML exactly 5 hours ago and you made this video 🔥🔥🔥 I must say you are a mind reader...❤❤
I would really appreciate if you continue putting tutorials on machine learning and AI. It would help a lot of developers.
I'd love to see more machine learning on your channel, from the very basics if possible !
I never knew one could boil down an entire study into 100s, but you did!
Now I want "and beyond", please
this man is single handedly taking me through college with all his different videos. Thanks a bunch man
For some reason it feels like you are using my watch history to upload videos. The moment I start searching about a technology you make a video about it. Great content
Definitely would love more Machine Learning on this channel!
I would love to see more of Machine Learning from you.
Watching it as a data scientist......
Save this video for later watch .. you ll need so many times .. the best short video in ML .. thanks ❤️
Yes for more ML content in the future. Thanks for making a good channel!
A question always in my mind. How do you know all of these things you explain in your channel. I cannot learn 10% of things you know. How amazing are you!
I've done a lot of ML competitions in the past on Kaggle
@@Fireship pretty sure you ran an ML model on yourself and then fell asleep with it still running...
هو هذا اسم؟؟ 😑
@@mustafalair9494 ههههههه ضحكتني. كنت بفكر اعمل قناة يوتيوب وأفكر إيش هو أكثر شيء يبحث عنه العرب
@@feijldskfhe6891
تفكير شيطاني 🤣🤣
Your videos are away fun & educational to watch, and yes more machine learning videos please truly inspiring
you really summarized by whole career in a small video nicely. Now instead of telling some one what ML is, Imma just share this video.
Actually quite accurate summary. Every ML Student Sould watch this before starting lectures
Yes I would love some more machine learning content!
You could make more videos on ML. Even separated videos on image classification, speech recognition, reinforced learning, frameworks and so on.
More of these ML videos would be great!
Awesome !!! More on machine learning from you please .
Great as usual , keep it up!
A minor correction : Accuracy is not an error function
Should be 3 sets: train, test, and validation.
You can’t truly judge accuracy based on testing set alone. You need unseen data to prove there wasn’t overfitting. There are also techniques like cross validation that you can use when you don’t have enough data to make 3 sets.
While that sounds reasonable, I haven't seen that anywhere, it's always just training set and test set in the sources I have read. What source do you recommend for that and what should be the size of the sets if you want to use also a validation set?
@@Ragnarok540 try kaggle if you haven't . I got started with it few months ago then i quit so i don't remember much but you can just see for yourself . If i am not wrong the first model was a housing or titanic one where they provided with a validation set as well.
You have your terminology somewhat backwards. The test set is used for the final evaluation, and should only be used once for your final model. Validation data is used during model development.
All the images used are to confuse the ML algorithm… subtle details like this makes this channel great
Hey can you please make videos covering various machine learning algorithms.
These videos are fun to watch. Thanks.
Nice video!
Would love to see more videos about Linear Algebra, ML and AI.
I would definitely buy a fireship course from you on training a model and deploying it to the cloud!
02:10
most reliable ML-Model i have seen, ever... 😏
😄🤣😆❤👍
Yes, will be waiting for more machine learning content in 💯 seconds.
Do tensorflow in 💯 seconds.
Awesome love this video. Now beyond 100 seconds of ML
Damn this guy is good. It's just fascinating how he's able to condense such quality in just 100s 🔥
More ML content? Sure! Sounds fantastic
You teach soooooo well bro!!!!
it simple and clear please continue doing videos about ML
Nice video. Remember that there are other 2 big branches of artificial intelligence with neural networks called Unsupervised learning (without train and test data) and reinforcement learning (something like a reward system)
Thank you. Beautiful work.
The model was the missing part I was missing to understand. Thank you!
Yes, please!!! more ML content
Looking forward to seeing your machine learning vids
Thanks for clear explanation.
You're one of my favourite channels :)
Thank You! Please make more content on machine learning.
more machine learning content letsgoo!!
Thank you! Love your content
Beautifuly explained!
Helpful! Thank you!
More please, preparing for the future of web development :)
100 seconds of great value. Man, how do you do that?
this is very good 100s introduction to machine learning.
I have been suffering for 1 year
thank you brave sensei
Thanks, your video are always amazing!
Yes, please more ML!
Really interesting! Great content!
More machine learning content please.
This is cool. More ML videos please!
Nice vid. I would like to see more about quantum machine learning and Horizon qc's "classical to quantum" code translation
More ML videos please 🙏 Curious to see how a JavaScript developer can use ML in projects.
Explain algorithms in 100 seconds.
The dog with the cat ears is "spot" on
Omg i was waiting so long for this, sadly there was no ". . . and beyond" , i would still love a tutorial to set up this stuff
More machine learning please.
Nice video! I would like to see more machine learning videos :DD
Please, make Python *Kivy* in 100 seconds
I think you have confused loss functions (which are the ones minimized by the optimizer of choice) and ways to validate a trained model (accuracy, mean absolute deviation).
Popular loss functions include cross-entropy losses for classification problems and mean squared error for regression problems. These are differentiable everywhere, which is not the case for functions like accuracy or mean absolute deviation.
Nevertheless, thank you very much for the concise introduction to this topic. As your quality standards are very high, I am sure you will find a way to fix this small error.
Nicely put!
It's basically deriving f(x) from y
More Machine Learning content please! :)
well done, iam addicted now to this channel content, very informative and very pleasant, thank you and thumb up 👋🏽👋🏽
More ML ASAP!
please do a simple machine learning tutorial, really curious bout how it works
Yes, more!
Your videos are awesome!
Another CleverProgrammer video nice !!!
Such an interesting topic!
Been waiting for this
Could you make a step by step guide for migrating an Angular/Firebase app from Firebase sdk v8 to v9? This would be really helpful, keep up the good work !
yes please more about data science
more machine learning please
Need full ML and image processing tutorial..
And also about some frameworks like opencv,pytorch,skitlearn etc
Sounds interesting! Thanks.
love the video.
could you do something like this about Lodash? and it would be awesome if you include some examples of functions.
thanks in advance.
more machine learning content pls
Nice 100 seconds! :D Only thing I thought was missing was the aspect of overtraining and overfitting, otherwise a nice introduction. :)
Please do more machine learning
People making whole courses about machine learning, this guy : I'll do that in 100 second
Amazing video! Loved it :]