How to keep up with AI research?
AI is a one of the fastest progressing fields. 1000s of papers released every month, So how do we keep up?
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REFERENCES
Arxiv-Sanity: Arxiv, but clean: arxiv-sanity.com
DataTau: Posts on AI from Blogs to Projects www.datatau.com/
FACEBOOK GROUPS
Deep Learning & AI Applications: facebook.com/groups/112775596101336/?ref=group_browse_new
Awesome AI Papers: facebook.com/groups/awesomeaipapers/?ref=group_browse_new
Math for Data Sciences: facebook.com/groups/mathfordatascience/?ref=group_browse_new
Deep Learning, Machine Learning, Data Sciences & AI: facebook.com/groups/1069997846490499/?ref=group_browse_new
Data Science: facebook.com/groups/DataScienceGroup/?ref=group_browse_new
Deep Learning & AI: facebook.com/groups/cybots/?ref=group_browse_new
Data Science Python: facebook.com/groups/DataSciencePython/?ref=group_browse_new
Data Sciene with Python: facebook.com/groups/DataScienceWithPython/?ref=group_browse_new
Data Science Beginners: facebook.com/groups/648135408678836/?ref=group_browse_new
Big Data & Statistics: facebook.com/groups/bigdatastatistics/?ref=group_browse_new
Math for Data Sciences: facebook.com/groups/mathfordatascience/?ref=group_browse_new
Robotics: facebook.com/groups/1539686832959717/?ref=group_browse_new
Beginning Data Science, Statistics & Machine Learning: facebook.com/groups/995474220466742/?ref=group_browse_new
Data Science & Predictive Analytics: facebook.com/groups/DataMining/?ref=group_browse_new
TWITTER
Andrew Ng: twitter.com/AndrewYNg
Andrej Karpathy: twitter.com/karpathy
Deep Mind: twitter.com/DeepMindAI
Fei Fei Lee: twitter.com/drfeifei
GoogleAI: twitter.com/GoogleAI
Grant Sanderson (3blue1brown): twitter.com/3blue1brown
Ian GoodFellow: twitter.com/goodfellow_ian
OpenAI: twitter.com/OpenAI
KDNuggets: twitter.com/kdnuggets
Siraj Raval: twitter.com/sirajraval
TechCrunch: twitter.com/TechCrunch
Tensorflow: twitter.com/TensorFlow
Yann LeCun: twitter.com/ylecun
REDDIT
Machine Learning: www.reddit.com/r/MachineLearning/
Learn Machine Learning: www.reddit.com/r/learnmachinelearning/
Deep Learning: www.reddit.com/r/deeplearning/
Data Science: www.reddit.com/r/datascience/
Artificial: www.reddit.com/r/artificial/
BLOGS
Deep Mind: deepmind.com/blog/
Apple: machinelearning.apple.com
Tech Crunch: techcrunch.com/
NVIDIA: blogs.nvidia.com/
QUORA
Ajay Halthor: www.quora.com/profile/Ajay-Halthor
Sridhar Mahadevan: www.quora.com/profile/Sridhar-Mahadevan-6
Zeeshan Zia: www.quora.com/profile/Zeeshan-Zia-1
Ajit Rajashekaran: www.quora.com/profile/Ajit-Rajasekharan
Chris Luhrs: www.quora.com/profile/Chris-Luhrs
KZhead
Code Emporium: kzhead.info
Siraj Raval: kzhead.info/tools/WN3xxRkmTPmbKwht9FuE5A.html
Two Minute Papers: kzhead.info
Sentdex: kzhead.info
Arxiv Insights: kzhead.info/tools/NIkB2IeJ-6AmZv7bQ1oBYg.html
3Blue1Brown: kzhead.info/tools/YO_jab_esuFRV4b17AJtAw.html
Mark Jay: kzhead.info/tools/2W0aQEPNpU6XrkFCYifRFQ.html
Robert Miles: kzhead.info/tools/LB7AzTwc6VFZrBsO2ucBMg.html
this video just blows my mind, it is such a great vidoe
I'm actually fine with your content being more theoretical in nature. These videos helped me clear a lot of stuff for my concepts :D. If you plan on making things more practical, I hope you'd still keep the interesting theory stuff or don't keep things too beginner level and maybe even show some interesting tidbits for the implementation for the more recent papers. Just adding my two cents here ;)
Agreed. I do have some plans for practical videos. However, the theory in machine learning is _very_ important. This is more so the case for deep learning concepts. (Also the reason why most AI scientists/ ML Engineers hold a graduate degree). Thanks for your 2 cents. There'll be more interesting content coming up. ;)
Plz make videos on Gaussian mixture models and complete maths involved in it. And also various swarm optimisation like pso, aco, gwo etc.
I was actually thinking of doing Mixture Models a while ago. This comment reminded me. Maybe a future video
@@CodeEmporium your deep mathematical knowledge in this field always inspires me can you please suggest me books or any other resources from where you master these things. It will be very great of you😊. And apart from this your work is great bcz I never found any channel in KZhead that explains these concepts at very high level mathematical model and great intuition.
@@CodeEmporium try also bayesian non-parametrics
Very useful. Thanks :)
Hi, Is there any updates for this video? Actually, thank you for this one though
Great vid thanks for website!
Thanks for watching!
Arxiv Sanity does not work right now. Is there any alternative to that?
Please do a video on how to make a programming language
I have. It's one of my earlier series on the channel
thank you sir... like from china
What do I need to know to build a deep learning framework? please tell me the courses and books. please answer
Building something like Tensorflow, Keras? That is more of a programming perspective. So I'd refer the codebase to see how they are constructed. Or did you mean how to build models using these frameworks? - which makes more sense as a question. Aurélien Géron has a nice book on programming hands on with scikit-learn and Tensorflow. I'd suggest you take a look at that.
How is view so low for this awesome video
ikr! Spread the word!
Mist Include @Yannic Kilcher KZhead Channel He is one of the Best Research Paper Explainer in AI ... Absolutely Appreciate his Work .. Do check his channel ...
Should I learn AI or machine learning if I want to make a software that generates animation if a user gives input image?
With that mindset, you are not going to make anything.
@@jeevan288 What is the right mindset?
Great video! Arxiv-sanity is my go-to place too. It also recommends papers based on the ones you saved in the past. I approach Arxiv papers with a grain of salt though, until they appear on a peer-reviewed venue. Two Minute Papers and others are also great but I wouldn't recommend Siraj, especially after finding out how he scammed people and how he outright plagiarised others' work.
Hey Leo! If I'd known about you sooner, I'd have put you in here too for computer vision!! And about Siraj -- it's the same reason. The video was made in March
@@CodeEmporium Ah, I see I didn't pay attention to the date of the video. I just discovered your videos, you have great content!
Thank you for providing an exhaustive list of resources for keeping up with AI research. Another important part of staying up to data with AI is to be connected to your local communities. This repository has communities as well as other resources to stay up to date: github.com/BAILOOL/DoYouEvenLearn
BRUH, found a gem hovering over the thumbnail
Gems are good
@@CodeEmporium Siraj hyping kubernetes for beginners... I don't really get kubernetes after a few years
first!.....again!
Nice to see you.... again
siraj is a Fraud