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Learning Machine Learning has never been easier #shorts #machinelearning #statistics #datascience

Greg Hogg 958 views

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Learning machine learning with machine learning 😂 I’m doing that right now
Comment from : @zdravko6t5

Machine learning was never actually complicated
Comment from : @TommyLikeTom

Now make a video about getting a job as an MLE too ! 😂
Comment from : @curious_one1156

I am reading this book to gain complete mastery over it Word by word, line by line Solving every question easy or hard with paitence It is very time-consuming However, once you have been thorough through a chapter, you will see your work through a very broad perspective You will easily avoid things that can lead to wrong calculation or interpretation Forget Python or R that comes with Once you are done with the concept, any language would suffice! Revising chapters once in a while is also important to consolidate the learning If you leave it you will lose it
Comment from : @nikhilverma5205

Bro why it's always you who makes my start to any new topic always easier and doable😭😭🎈♥️♥️
Comment from : @Anantlahamge07

Clean ur desk plz 😅
Comment from : @adityapradhan8474

I'm finishing up these lovely courses in my master's rn it was a journey Our prof didn't want us to just import torch or premade models from huggingface blindly, he made us rewrite entire libraries for fun to show we actually understand it (Of course with a lot of scaffolding code) Made me appreciate algorithms much more - the dp and greedy from implementing Beam search, deriving the back propagation got me to learn how there are so many simultaneous matrix multiplications which GPUs with CUDA can help digging into its architecture :) I still won't recommend the course tho lol - unless you like to flat out work 24/7brIts nostalgic because I remember watching this exact video the summer before starting said masters program
Comment from : @rickyc46

te quiero<33
Comment from : @cldconfig_

You learn all this just to be a YouTuber Enjoy your lives guys dont waste your time on ML or programming (unless youre in the top 5)
Comment from : @Wppsamsung2024

If I learn ML can I also create YT shorts too?
Comment from : @Wppsamsung2024

if you have a stronger math/stats background I would instead suggest murphy's probabilistic machine learning (vol 1 and 2) I work in ML research and to this day I still reach for that book when I need a refresher on a topic
Comment from : @sereysothea

you have the most programmer voice if ever heard
Comment from : @boehan605

Code literally makes 0 sense like yall just be pulling those letters an numbers outcha ass
Comment from : @bhest

And that is why
Comment from : @moonhowler667

I didn't even understand a word you said
Comment from : @UltimateisReady

Machine learning
Comment from : @BruceWayne-t9x

❤
Comment from : @YugalkishorJha-z2x

thanks
Comment from : @greyadamz4327

Awesome
Comment from : @aecet9652

ESL (elements), is a bitch even with someone with a bit of a background, i spent oh idk 8 hours on a covariance SVD proof for like decomposing effectbrbrCould be harder or easier than i remember, its really just about mathematical patterns ISL is good, but completely trivial
Comment from : @ravenecho2410

going to heaven has never been easier brStep 1: look at the sky brstep 2: be in heaven
Comment from : @yokermn

Saying easy is wild
Comment from : @cyberlando

Was this code created for personality test?
Comment from : @zebakhawaja

hey @GregHogg what is this vsCode Theme please?
Comment from : @fou2flo

Test
Comment from : @yugjha6798

Favorites language brJavascript 🤔
Comment from : @fazilj8560

Machines Learning Machine Learning
Comment from : @Q_20

How to learn :br1) get the bookbr2) learn what's in itbr3) let the machine knows it's cat or a dog 😂
Comment from : @itsx72

ML is dead, dont waste your time
Comment from : @deniz7200

I have studied data science but I don't have any certificate, can I get a job?
Comment from : @knowledgetype2445

spss is it?
Comment from : @Noviayju

That’s just learning how to run code on simple and overused benchmark data
Comment from : @hemantishwaran5741

🤡🤡🤡
Comment from : @Beowulf245

Comon bro it is easy pff
Comment from : @ayhanabdullayev

If you think you can learn ML with one book, I have bad news for you
Comment from : @Laptevwalrus

Says to learn machine learning - recommends statistics book - shows linear regressionbrbrLmfao
Comment from : @sorvex9

Step 1: Name 10 books
Comment from : @dantedt3931

Linear regression is an incredibly simple algorithm, that is not proper machine learning the way we think of chatGPT and DALL-E! Anybody that knows calculus and very basic linear algebra can learn linear regression in a couple weeks, the actual hard part of machine learning is when the problem is difficult enough to warrant an algorithm that requires training It's understanding how a neural network is optimized, or how a transformer works, or what diffusion is, that's the part of machine learning that has all the opportunities, and you really do have to go to school to learn that This stuff for comparison is something that is taught in high schools even It's quite literally something you can teach to a teenager
Comment from : @lambda653

Math I can't escape it can i
Comment from : @MandarkCont

Now this is an actual good way of learning, i see so much python ml developer doesnt know what behind all those class and function Everything is abstracted that made us not learning just using
Comment from : @adxrexim1432

Thanks for inspiration!
Comment from : @tommacdonaldbiggestfan

hahahaha so basically do what should be done since the invention of the book, copied
Comment from : @sebastianacostamolina9593

Thanks hoggman
Comment from : @mooglglius

Read this in college
Comment from : @jenex5608

Nice
Comment from : @hlubradio2318

most tech bros think ML is only neural networks not statistical learning on tabular data
Comment from : @joelwillis2043

As a Uni student from a ML program, this ain't true guys, particularly when it comes to understanding all the Math magic behind it But it's damn interesting and rewarding (at least for me)
Comment from : @pauleagle97

Lol
Comment from : @t1nk3rtail0r

Teach your kids Python, you'll thank me later
Comment from : @blackhorseteck8381

Yeah it's easier because now we can ask chatgpt
Comment from : @haryaanggitama8512

Good to mention this book is in Python and R!
Comment from : @brandonloesch4986

Bullshit
Comment from : @amitx26

Step 1 be good with math
Comment from : @Invincible_Ron

how to learn:brstep 1) read bookbrstep 2) apply book
Comment from : @ozlul9272

I love that there are people like you
Comment from : @lazyidealist

Lol using windows
Comment from : @KaiusKC

Comment from : @JosGeerink

Have been mentoring in long form boot camp for 6 years now Can confirm that this is the best method I know of Theory -> build function -> use library
Comment from : @Balanar053

BTW this book has a Python version as well
Comment from : @736939

An introduction to Testicle Learning?
Comment from : @decky1990

That dataset was blocked because of ethical issues
Comment from : @kdt85

That's literally the worst book to read 😅 it's so dry and boring
Comment from : @Dubwub121

Bro missed Gradient descent 😂
Comment from : @o__bean__o

Why should a subject like machine learning should be easy?🤔🤔
Comment from : @motivefactoryy

yeah just lock yourself in your house for 3 months straight what could go wrong
Comment from : @clerpington_the_fifth

I'm just gonna wait for the machine that learns that to release
Comment from : @cocolasticot9027

Saw code that looks like it was written by a sadistic internbrDislikedbrbrHonestly if your python code looks like f(TN, FP, FN, TP) you ahould re-evaluate your career choices
Comment from : @khuntasaurus88

18:31
Comment from : @crypt1d550

The loop transition is not smooth enough bro
Comment from : @benravenhill484

Finally someone who shows how to actually learn machine learning, and not just copy paste some python code
Comment from : @urisinger3412

The ML stuff is bad because the examples are all terrible The power is in supervised learningand the datasets
Comment from : @llothar68

Thanks for sharing
Comment from : @codingdidi

Sorry, so you're recommending doing the same two problems over and over again? Won't that get super repetitive/boring? (Also, aren't different techniques better for different tasks?)
Comment from : @miladragon

for everyone who watch this video, pls don't learn machine learning, because market hire 10 software engineer but only hire 1 data scientist/machine learning engineer!!!!! the market just don't need somany data scientist !!! you can't find a job!
Comment from : @dilu-f8m