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FireshipMachine 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 https://fireship.io/tags/machine-learning/
What is ML https://www.ibm.com/cloud/learn/machine-learning
Neural Networks https://towardsdatascience.com/a-beginners-guide-to-convolutional-neural-networks-cnns-14649dbddce8
ML Wiki https://en.wikipedia.org/wiki/Machine_learning
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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
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33 Comments
@fredrexsalac961
02/20/2025 - 3:35 PMNow this is what i HAVE BEEN looking for using the Design and Analysis of Algorithms
@jairojesusroman4843
02/20/2025 - 3:35 PMIf we put it in a funny way ML is like a human being learns in a lifetime,but there are some aspects to be considered, what's going to happen if machines learn too much and want to play smart with us?
Is AI and ML going to replace us in the near future?
What's going to happen with jobs that are repetitive?
Is it going to be a pont in time where ML device won't need us anymore?
For well i know that this sounds a little bit conspirational 😅😅
but i could not get these thoughts out of my mind. Thanks for reading my comment..
@drewarnold6741
02/20/2025 - 3:35 PMDespite all the fancy technical jargon… machine learning is largely brute force. This is why it has taken 80 years (using ENIAC as touchstone) to get some mildly cool AI. What this video really gets wrong is comparing ML to organic learning. Yes ML is different then explicit programming in that it uses data to ultimately perform tasks… but that's not how human brains do it. This assumption that neural networks are at the center of human intelligence is an unfortunate misunderstanding and has digital computing on a brute force wild goose chase. The reality is that there is something far more procedural at the center of human intelligence.
@Rignchen
02/20/2025 - 3:35 PMI love how all your exemples were just ai failing their job, just like in real life
@artuurSlaets
02/20/2025 - 3:35 PMThis video is 2 minutes
@bobjonesjnr
02/20/2025 - 3:35 PMThis was very well put together.
@احمدسمير-ر3ط5غ
02/20/2025 - 3:35 PMWHY MUSIC ?
@ahmermirza
02/20/2025 - 3:35 PMSwear to God, a video about "Machine Learning on embedded systems…" is what my previous tab is about. That's actually YouTube's recommendation system using machine learning.
@baigsaab47
02/20/2025 - 3:35 PMPlease make Large language models explained in 100 seconds
@ebrahim1bd
02/20/2025 - 3:35 PMit is so funny that dog look like a tiger 😂😂
@tommasinainnovationandlife7536
02/20/2025 - 3:35 PMExcellent video. Easy to follow and understand. In the process of transition. Would love to see more videos.
@navya-s3v
02/20/2025 - 3:35 PMMachine learning algorithms are transforming the entertainment sector by providing content recommendations, producing creative works, and increasing user engagement.
@nikhilkartha
02/20/2025 - 3:35 PMNoted uses: Forecasting, Prediction, Classification and … one more.
@ChloeWike-eq8qu
02/20/2025 - 3:35 PMI'm currently enrolled in a 5-course data analyst certification program. I went into it completely blind. It's so much to learn, but I'm really discovering a passion for it. I'm currently trying to learn about the modeling phase of the OSEMN framework, and algorithms. This video was short yet super helpful, thank you!
@oddpakistani
02/20/2025 - 3:35 PMgood explanation
@Tressbytesssisterlocks
02/20/2025 - 3:35 PMI've signed up with Microsoft Data Analytics course and having these short videos truly helps with short notes.
@Lucas-xn4ce
02/20/2025 - 3:35 PMthis music gave me headaches
@apurbaafiat6012
02/20/2025 - 3:35 PMAmazing video
@startproject6545
02/20/2025 - 3:35 PMNobody talks about algorithm 😂😂😂
Everybody talks of this and that.
@heyyodude919
02/20/2025 - 3:35 PMспасибо за связку, попробовал, работает.
@priyanzhu
02/20/2025 - 3:35 PMThank You! Please make more content on machine learning.
@kishanbsh
02/20/2025 - 3:35 PMHalf a century ago.. wowww
@JPO258
02/20/2025 - 3:35 PMthis man is single handedly taking me through college with all his different videos. Thanks a bunch man
@cybrhckr
02/20/2025 - 3:35 PM0:20 – Two fundemantal jobs… really… So we are not "predicting" there is a car on the road when we classify?
All of them are predictions but jobs are not split between two types like he said future vs classification. It is split between the type of outcomes:
Classification: A discrete outcome that is not on a linear scale (Dog, cat, car, cancer or no cancer)
Regression: A continuous outcome. (e.g.: Stock market , price data, earthquake location etc.)
@RubikArakelian
02/20/2025 - 3:35 PMthe 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?
@LatentSpaceD
02/20/2025 - 3:35 PMThank you! Love your content
@hemantishwaran5741
02/20/2025 - 3:35 PMMeh
@Alpha-u8e
02/20/2025 - 3:35 PMMore ML content
@ScienceInsightsi
02/20/2025 - 3:35 PMGood explanation, but there are some basin understanding of ML is on our channel.
@CtOlaf
02/20/2025 - 3:35 PMAwesome! Any more machine learning, like MLflow or working with LLMs like Mistral and llama?
@SuccessMindset2180
02/20/2025 - 3:35 PMI’d love to learn fearure engineering for data science
@limitlesscuriosity6818
02/20/2025 - 3:35 PMThrow more videos🎉🎉
@aleefbilal6211
02/20/2025 - 3:35 PMyou really summarized by whole career in a small video nicely. Now instead of telling some one what ML is, Imma just share this video.