Scalars - Topic 4 of Machine Learning Foundations

[@Unknown-010-00]

even it's been 4years it is the best playlist i found😍

[@Moiez101]

Jon, first off, phenomenal explaining skill, and absolutely love your enthusiasm. You're a gentleman and a scholar. Courses like these mean so much to me because about 5 months ago, I decided to change my financial situation and life in general by getting into the tech industry by starting with Python but realized that I'm more into data analytics than developing. Your course on Linear algebra with using python's machine learning libraries is EXACTLY what I was looking for. Super excited. Cheers brother.

[@JonKrohnLearns]

Yay! I'm glad these videos are what you were looking for, Moiez! If you're transitioning into a data analyst role, you might find my podcast super helpful. For example, here are two recent episodes on transitioning into data analyst positions: superdatascience.com/631 and superdatascience.com/623

[@ilolita_]

Thank you SOOOOOOO much for the entire linear algebra course. I feel better prepared having the foundations to thrive in my machine learning course. Thank you.

[@yazaaqa]

John ,Thanks a lot ...I am applying for PHD in machine learning and I have an admission exam for ML.I saw your tutorials ,they are easy and perfect ....Thanks again

[@JonKrohnLearns]

You're most welcome! Happy to be able to help and good luck on the exam!

[@Hahahhw222]

Thank you for everything you do Dr. Krohn ❤😊

[@SteveJones-e1n]

I have found treasure. Thank you Mr. Jon

[@RahulSID500]

Can I learn this course if I don't know how to use python jupyter notebook

[@gabrielkelvin4827]

Whats the main use or using tensorflow and pytorch give me a realtime example plzz

[@kira1322]

i cant get access to your github notebooks it is not loading it says unable to render

[@SiyaRamSiyaRam1008]

Is python learned before this course pls reply

[@srinubommisetty3148]

Jhon Bhai you are just amazing😊

[@abdulrafik2549]

hey man In 2023 it's okey to only focus on these linear algebra topics or any other topics should i go though it

[@JonKrohnLearns]

Hi Abdul, yep in 2023, these are still the essential Linear Algebra topics for Machine Learning and A.I. These underlying fundamentals do not change: They were essential knowledge 50 years ago and they almost certainly still will be 50 years from now. A worthwhile investment in your career indeed!

[@abdulrafik2549]

@@JonKrohnLearns Thanks sir 😀

[@abdulrafik2549]

@@JonKrohnLearns but I am a complete beginner can you suggest a best way to learn ai and ml or a roadmap to get in ai industry

[@JonKrohnLearns]

@@abdulrafik2549 Starting with the math like you are with this playlist is a great way to start! At the end of each subject area (e.g., at the end of the linear algebra videos and at the end of the calculus videos), I provide you with more resources for going further.

[@zaidali1472]

@@JonKrohnLearns sir should i learn python along with that. i am also a complete beginner to ml and ai

[@oliverford5367]

PyTorch seems to be becoming the standard in industry. Tesla use it for training their self-driving neural nets.

[@JonKrohnLearns]

In a way, yes! I have a long video covering the pros and cons of PyTorch vs TensorFlow here: kzbin.info/www/bejne/hoXGeZKLoJVkl5o

[@affanazam209]

Are the variables you declare 62 bits? Or it was mistake?

[@Martin-lv1xw]

Cant be easier than this. Salute sir

[@JonKrohnLearns]

Haha thanks, Martin!

[@MHPavel-p3c]

am following the playlist, so to start and end this playlist "linear algebra for machine learning" what are the pre-requisites? though you had mentioned in the first video, but when you are talking about pytorch, tensorflow I am not able to connect those. So should I continue your playlist?

[@JonKrohnLearns]

Hi there! The full prerequisites are listed on the README page of my "ML Foundations" GitHub repo. I'm not sure what you mean by "I am not able to connect pytorch, tensorflow" -- they are open-source libraries that you can pip install from any Python interpreter. Or they come pre-installed in Google Colab (my recommended approach for following along).

[@Danush_Gowdru]

can you pls Upload the statistics,algoritms and Data structures and optimization playlists☺☺

[@ogabaziz4602]

Hello Sir, this is my first year in university and I wanted to start learning ML. The thing is, I'm in a bit of a loss here and I want to know if I should start following your lessons for a beginning, or would you recommend something else before that? (I'm already already familliar with Python and C)

[@elp09bm1]

Hi Jon, Does that mean someone starting in 2022 Should I focus on Pytorch and why you have not mentioned Scikit Learn.

[@JonKrohnLearns]

Good questions! Here's my latest talk on PyTorch vs TensorFlow: kzbin.info/www/bejne/hoXGeZKLoJVkl5o Both PyTorch and TensorFlow allow you to build limitlessly flexible computational graphs and differentiate them. This functionality is essential for me to be able to convey how ML works. In contrast, Scikit-learn isn't relevant at this stage in my ML Foundations curriculum. Scikit-learn doesn't allow you to understand how ML works nor does it proffer the unlimited flexibility I'm endeavoring to convey with this curriculum. You can't build a low-level computational graph in Scikit-learn nor can you differentiate functions. That said, at some occasional points much later in the curriculum, we will use Scikit-learn to illustrate some high-level applications of the lower-level theory that we've covered. Here's a more detailed refresher on the intentions behind this curriculum: github.com/jonkrohn/ML-foundations#the-machine-learning-house

[@elp09bm1]

@@JonKrohnLearns Thanks for the video and article. I did watch the video and read the article .

[@shahidulhasan1147]

hey jon,is will you linear algebra and calculus playlist will help me as a beginner knowing nothing about machine learning and not know much about math??

[@JonKrohnLearns]

Um, yeah... as we already discussed on my opening video in this playlist: "Yes! This is exactly the series for you then, Shahidul."

[@shahidulhasan1147]

@@JonKrohnLearns Thank you so much

[@Alias.Nicht.Verfügbar]

thanks for the knowledge!

[@ganeshvishwa5353]

Hi sir ,I need to ask many doubts how can I contact you

[@JonKrohnLearns]

Hi there! I'll do my best to reply to questions asked of me publicly, e.g., as comments on my KZbin videos or in posts you tag me in on LinkedIn.

[@maunkyaw8183]

numpy, tensorflow and pytorch, then a forced grinding of teeth!

[@JonKrohnLearns]

haha :)

[@elemayelemay4229]

you are probably the coolest bald guy i have ever seen

[@JonKrohnLearns]

haha if the coolest bald guy you've ever seen is someone you've seen in a math tutorial, you may need to get out more 😂