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ChemCoder
United States
เข้าร่วมเมื่อ 19 พ.ค. 2023
I will help you flourish as a researcher 💎
Welcome to ChemCoder! 🎥
We make content about machine learning and AI 💻
We support beginners in this field to learn AI and ML effectively and build a fulfilling career. From time-to-time, we share our experiences and provide tips and tricks.
Let's learn to build machine learning models and analyze dataset in science! 🖥️
In addition, we support transferring knowledge related to computational science.
I am a computational chemist👨🎓 with a PhD in Chemistry from University of Kentucky with experience in DFT, Machine Learning, and Deep Learning methods among others.
From time to time, I will share my experiences when I was a graduate student and help you navigate your career and research as well.
My goal is to build a community for people to learn and hone skills like coding, critical thinking, research and problem-solving so please do 🙏🙏SUBSCRIBE🙏🙏 to the channel and let's learn together as a community!🤝
LET THE MAGIC BEGIN!🪄
Welcome to ChemCoder! 🎥
We make content about machine learning and AI 💻
We support beginners in this field to learn AI and ML effectively and build a fulfilling career. From time-to-time, we share our experiences and provide tips and tricks.
Let's learn to build machine learning models and analyze dataset in science! 🖥️
In addition, we support transferring knowledge related to computational science.
I am a computational chemist👨🎓 with a PhD in Chemistry from University of Kentucky with experience in DFT, Machine Learning, and Deep Learning methods among others.
From time to time, I will share my experiences when I was a graduate student and help you navigate your career and research as well.
My goal is to build a community for people to learn and hone skills like coding, critical thinking, research and problem-solving so please do 🙏🙏SUBSCRIBE🙏🙏 to the channel and let's learn together as a community!🤝
LET THE MAGIC BEGIN!🪄
How to learn the math for AI and ML? Made easy.
To try everything Brilliant has to offer-free-for a full 30 days, visit brilliant.org/ChemCoder/ . You’ll also get 20% off an annual premium subscription.
If you are a beginner transitioning into AI and ML, you need to learn the math. Math is important in machine learning and AI. As a beginner, self-taught machine learning and AI researcher, I can tell you that learning the math can be challenging. Learn math easily with these strategies. These tips and tricks will help you and make math easy to learn. If you are looking for content on machine learning for beginners, this is for you. Whether you are in college or learning part time after work, I hope these tips help you.
Also, HAPPY BIRTHDAY TO MY MOM! ❤️
Stay tuned to stay ahead of the curve in the world of science!
FTC Disclaimer: This video was sponsored by Brilliant.
============================================================
Books:
Elements of statistical learning: amzn.to/3WhAvNI
Introduction to statistical learning: amzn.to/4g0vZKq
ML book 1: amzn.to/4iAdlLN
PyTorch and sklearn: amzn.to/4gvfSFp
LLMs from scratch: amzn.to/4gauz11
My Gear:
Beats headphones! Get your's now: amzn.to/3ZyZAVj
JBL Bluetooth Speaker: amzn.to/4ivtulF
Logitech Ergonomic Keyboard: amzn.to/3OQI49P
Logitech Ergonomic Mouse: amzn.to/3D6qtrQ
Camera Stand: amzn.to/3Zoe6Pi
Studio light: amzn.to/4g6GPzy
Pool Table: amzn.to/4gsS7xI
As an amazon affiliate, I may earn a small commission if you use these links to buy at no extra cost to you.
================================================================
#coding #ai #machinelearning #sciencemajors #datascience #python
*********************************************************************************
Get your Merch!👕 chemcoder.myspreadshop.com/
My website 🖥️: chemcoder.my.canva.site/website-p1
Buy me a coffee ☕️: buymeacoffee.com/chemcoder
LinkedIn 🤝: www.linkedin.com/in/keerthan-kra268
*********************************************************************************
GitHub page for math resources: github.com/dair-ai/Mathematics-for-ML
Stanford Online: www.youtube.com/@UCBa5G_ESCn8Yd4vw5U-gIcg
DeepLearning.ai channel: www.youtube.com/@UCcIXc5mJsHVYTZR1maL5l9w
3Blue1Brown channel: www.youtube.com/@UCYO_jab_esuFRV4b17AJtAw
Andrej Karpathy: www.youtube.com/@UCXUPKJO5MZQN11PqgIvyuvQ
More about my learning journey: th-cam.com/play/PLRfh8v6mu_F0UJZf6DKnS2athBG38USXS.html
Here's how you can get started with python: th-cam.com/video/BMXKcbMknKU/w-d-xo.htmlsi=rE4MSMMQgxFMyiXp
If you want to get started with the first lesson: th-cam.com/play/PLRfh8v6mu_F3MrkmQb6ccoNBI5MbmbM_j.html
For workshops I have conducted before: th-cam.com/play/PLRfh8v6mu_F0W7nD2bIDJUDzrPgGO2QK_.html
Coursera's ML course by Andrew Ng: www.coursera.org/specializations/machine-learning-introduction?
Welcome to ChemCoder. As a computational chemist myself, I had to transition to AI and ML towards the end of my PhD program and I have to admit, it was a lot of learning, making mistakes and late nights. If you are a graduate student, freshman, sophomore or a senior in college and wondering if this field of chemistry and programming is for you, you ARE in the right place! We as chemists or as scientists in general have a very unique position to learn and integrate our coding skills to bring new technology and innovation to the world. The future depends on us and our ability to learn, stay motivated and persistent in this difficult field. Join our community as we strive to get better every day.
If you enjoyed this video, consider clicking the LIKE button to help TH-cam show this video to others and if you don't want to miss any content from us, consider SUBSCRIBING to the channel. Thank you!
If you are a beginner transitioning into AI and ML, you need to learn the math. Math is important in machine learning and AI. As a beginner, self-taught machine learning and AI researcher, I can tell you that learning the math can be challenging. Learn math easily with these strategies. These tips and tricks will help you and make math easy to learn. If you are looking for content on machine learning for beginners, this is for you. Whether you are in college or learning part time after work, I hope these tips help you.
Also, HAPPY BIRTHDAY TO MY MOM! ❤️
Stay tuned to stay ahead of the curve in the world of science!
FTC Disclaimer: This video was sponsored by Brilliant.
============================================================
Books:
Elements of statistical learning: amzn.to/3WhAvNI
Introduction to statistical learning: amzn.to/4g0vZKq
ML book 1: amzn.to/4iAdlLN
PyTorch and sklearn: amzn.to/4gvfSFp
LLMs from scratch: amzn.to/4gauz11
My Gear:
Beats headphones! Get your's now: amzn.to/3ZyZAVj
JBL Bluetooth Speaker: amzn.to/4ivtulF
Logitech Ergonomic Keyboard: amzn.to/3OQI49P
Logitech Ergonomic Mouse: amzn.to/3D6qtrQ
Camera Stand: amzn.to/3Zoe6Pi
Studio light: amzn.to/4g6GPzy
Pool Table: amzn.to/4gsS7xI
As an amazon affiliate, I may earn a small commission if you use these links to buy at no extra cost to you.
================================================================
#coding #ai #machinelearning #sciencemajors #datascience #python
*********************************************************************************
Get your Merch!👕 chemcoder.myspreadshop.com/
My website 🖥️: chemcoder.my.canva.site/website-p1
Buy me a coffee ☕️: buymeacoffee.com/chemcoder
LinkedIn 🤝: www.linkedin.com/in/keerthan-kra268
*********************************************************************************
GitHub page for math resources: github.com/dair-ai/Mathematics-for-ML
Stanford Online: www.youtube.com/@UCBa5G_ESCn8Yd4vw5U-gIcg
DeepLearning.ai channel: www.youtube.com/@UCcIXc5mJsHVYTZR1maL5l9w
3Blue1Brown channel: www.youtube.com/@UCYO_jab_esuFRV4b17AJtAw
Andrej Karpathy: www.youtube.com/@UCXUPKJO5MZQN11PqgIvyuvQ
More about my learning journey: th-cam.com/play/PLRfh8v6mu_F0UJZf6DKnS2athBG38USXS.html
Here's how you can get started with python: th-cam.com/video/BMXKcbMknKU/w-d-xo.htmlsi=rE4MSMMQgxFMyiXp
If you want to get started with the first lesson: th-cam.com/play/PLRfh8v6mu_F3MrkmQb6ccoNBI5MbmbM_j.html
For workshops I have conducted before: th-cam.com/play/PLRfh8v6mu_F0W7nD2bIDJUDzrPgGO2QK_.html
Coursera's ML course by Andrew Ng: www.coursera.org/specializations/machine-learning-introduction?
Welcome to ChemCoder. As a computational chemist myself, I had to transition to AI and ML towards the end of my PhD program and I have to admit, it was a lot of learning, making mistakes and late nights. If you are a graduate student, freshman, sophomore or a senior in college and wondering if this field of chemistry and programming is for you, you ARE in the right place! We as chemists or as scientists in general have a very unique position to learn and integrate our coding skills to bring new technology and innovation to the world. The future depends on us and our ability to learn, stay motivated and persistent in this difficult field. Join our community as we strive to get better every day.
If you enjoyed this video, consider clicking the LIKE button to help TH-cam show this video to others and if you don't want to miss any content from us, consider SUBSCRIBING to the channel. Thank you!
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Should i learn computer vision now?
Went to CS school. Took a bunch of Calc and whole lot of math classes with no practical use. Just pure theory. Math would be more fun if they taught it practically. Another example, had to take Stats, but my professor told me no Python allowed. Just Ti 84. Where’s the motivation to learn it?
What do you guys think about the book "Math and Architectures of Deep Learning by Krishnendu Chaudhury"?
Bhai you look extremely desi... But your English accent is more american than any native American. Congratulations for this achievement 👏
LOL
I’m a full stack software engineer with a degree in CS. How do you suggest transitioning into an AI engineer without going back to school for a masters
You will have to get to a point where you complete a few projects. Work together with someone in the field who is working on a project with AI/ML right now.
Connect
Stay tuned!
@@ChemCoder404 im 70 year old retired engineer. I am interested in Ai and ML for personal growth and communication with my two sons that use models for learning.
Connect
Stay tuned!
I guess it all depends on the role and specialty as there are a lot of different tech roles out there esp MLOps Engineer which is essentially a DevOps Engineer that focuses on deploying ML models into production which wouldn't use little to no math. They help retrain the models, test them and deploy that's part of ML and SDLC.
True. I consider them as SDevs and not really ML engineers
Connect
Stay tuned!
connect!
Stay tuned!
This is so true you hit the nail at the right spot ❤
Thank you. You sound like a broken record.
13:55 pretty good handwriting
Haha thank you.
Connect
Stay tuned!
connect
Stay tuned
Connect
Coming up
Connect
Coming up
Can you guide me about starting math from very basics? Coz the concepts you are referring for AI/ML is still advance for me and since my basic math is not much clear yet, I cannot jump straight onto math needed for AI. So can you please guide me from where should I start? Any roadmap should I follow? I have an year to dedicate for math!
You need to probably take online courses on algebra. Then linear algebra. Start with Kahn academy.
Most verbose content I’ve ever watched! (Not a compliment bro, you got a ways to go)
Thank you for your feedback.
Connect
Stay tuned
connect!
Coming up.
Connect
Coming up
Thank you 🙏
You’re welcome
connect
Stay tuned.
Connect
Stay tuned.
connect
Stay tuned.
connect
Stay tuned!
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Stay tuned!
connect
Stay tuned!
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Stay tuned!
connect. my jee is finally over. I want to learn basic and beginner level ai in 2 months if possible. I already know linear algebra, derivative calculus and some of integral. Before high school ends in like 1-2 months i will complete integral calculus. I need guide, because i'm confused about what to do and where to do from, even after seeing your video. Also I have learned have matplotlib, pandas(dataframe, series), numpy(little bit)
Stay tuned! Thanks for sharing that!
i think we can be accountable buddy,also im in the same boat!
Connect
Stay tuned! :)
Hey guys! I’m trying to figure out - when building with LLMs, does knowing the math actually make things better?
It depends. If you already know some math for neural nets, you should be okay. If you know absolutely 0 math related to ML, I would highly recommend at least some intuition on math.
people recommend linear algebra, calculus and statistics for ai newbies but most people don't even know algebra or pre algebra properly
That’s true as well.
To try everything Brilliant has to offer-free-for a full 30 days, visit brilliant.org/ChemCoder/ . You’ll also get 20% off an annual premium subscription. Here's some books for you: Elements of statistical learning: amzn.to/3WhAvNI Introduction to statistical learning: amzn.to/4g0vZKq ML book 1: amzn.to/4iAdlLN PyTorch and sklearn: amzn.to/4gvfSFp LLMs from scratch: amzn.to/4gauz11 As an amazon affiliate, I may earn a small commission if you use these links to buy at NO extra cost to you. Thank you all for the support! Get your merch today 👉 chemcoder.myspreadshop.com/
good stuff
Thank you!
Thanks ! Yes
You're welcome!
Thank you brother
You’re welcome
I’m a neuroscientist. I know Python for data analysis and want to learn machine learning. So I decided to learn math for ML. I picked the book “MATHEMATICS FOR MACHINE LEARNING Marc Peter Deisenroth A. Aldo Faisal Cheng Soon Ong” what do you think about that book? It’s also free online. The authors released the free pdf book. Can’t be more thankful!
I haven’t read it much but it’s good for all basic ML for sure. It lacks a few concepts though. Certainly lacks NN and DL.
@@ChemCoder404 Thank you for your comment. Which books would you recommend? I thought this one provided a solid foundation of math for ML.
You are correct, math is generally skipped over in ML courses. Deep and thorough knowledge of complex math is assumed.
Yup. Math goes a long way in ML.
Nothin as such, compnaies dont know what to to do with ai/ml, as developing a chatbot hardly takes 30 days & for ml algorithms already we have enough python scikint learn libraries which does, enough of one person to properly analyse .
Does humankind have mathematically intuitive proof yet on how DNNs are able to overcome overfitting, even as the number of input parameters and the number of layers increase exponentially ?
I don’t think so. A decent idea though exists. More data. Diverse data. Which is sorely lacking.
Please help with maths bro. Books or course, roadmap
Checkout this video: Here's the Best Math Resources you need for AI and ML. th-cam.com/video/Lc7lO9HeeNQ/w-d-xo.html
Thanks a lot. Which is best relevant resource for learning math for ML
I would start with one of courses I mention in the video. From Coursera.
Thanks 🙏 your tips. I have used Khan Academic a lot to learn Linear Algebra and Calculus but I have lot to learn in Statistics. I am senior and enjoying playing with Neural Networks but I still have holes 🕳️ in my math skills and knowledge. So you’re video inspiring me to continue learning and practice more of pure math 👍🙏❤️✅😄
Keep going! You got this!
Andrew Ng's ML and DL course goes relatively deep into the math
Yes it does.
Udemy + coursera = cheap success all fake
Not really. As a beginner, those are some of the best resources you have especially if you’re not in college to learn ML. Thank you for sharing your opinion though.
Relate