Enjoy To Code
@enjoytocode
Enjoy To Code is about the art of software development. AI, Machine Learning, Data Science, Cyber Security. insta: @enjoytocode
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I recently learned about Cayley transforms. Similar to how you can parameterize a 3x3 rotation matrix by 3 Euler angles or a 4 element quaternion, Cayley transforms allow you to parameterize an N dimensional rotation matrix with just N*(N-1)/2 unique values in a skew-symmetric…
Harvard University just released free online courses. No payment required. Here are 10 courses you don't want to miss in 2025:
🚨 BREAKING: 16 BILLION PASSWORDS LEAKED: APPLE, GOOGLE, FACEBOOK USERS EXPOSED What’s being called the largest password leak in history has just been confirmed: 16 billion login credentials, many from major platforms like Apple, Google, Facebook, GitHub, and more, are now…
For the next 24 hours you can STEAL my n8n swipe file containing 12+ automation's. All of these can be setup within 60 MINS and SAVE you 10+ HOURS per week. Easily worth $997+ Today It's yours for FREE 👉RT + Like & Comment “n8n” and I’ll DM you the file (Must be following)
EECS @ Berkeley's "Machine Learning" lecture notes! Download the 174-page PDF here: people.eecs.berkeley.edu/~jrs/papers/ma…
SQL was never intended to be used by computer programs. It was a console language for printing reports. Embedding it into programs was one of the gravest errors of our industry.
The book that Richard Feynman used to teach himself calculus at the age of 14
[Download 282-page PDF. Updated version] Mathematical theory of Deep Learning: arxiv.org/abs/2407.18384 ———— #AI #ML #MachineLearning #DeepLearning #Mathematics #DataScience #DataScientist
![KirkDBorne's tweet image. [Download 282-page PDF. Updated version]
Mathematical theory of Deep Learning: arxiv.org/abs/2407.18384
————
#AI #ML #MachineLearning #DeepLearning #Mathematics #DataScience #DataScientist](https://pbs.twimg.com/media/GolPAC-W0AAxgvb.jpg)
"Linear Algebra for Computer Science" by Manoj Thulasidas PDF: la4cs.com/files/LA4CS-Fr…
Stanford’s CS229 - Machine Learning A complete lecture notes by Andrew Ng (227 pages).
If you’re a hardcore software engineer and want to build the everything app, please join us by sending your best work to [email protected]. We don’t care where you went to school or even whether you went to school or what “big name” company you worked at. Just show us your code.
Have you used ChatGPT, Claude or Perplexity today? How can we improve Grok to make you switch?
These are just great.
‘Quantum mechanics in a nutshell’ by Leonard Susskind ✍️
I wrote a book about how to effectively combine procedural, OO, and Functional programming. The title is "Functional Design"
Here's the links for my conversation with Pieter Levels (@levelsio): YouTube: youtube.com/watch?v=oFtjKb… Podcast: lexfridman.com/podcast
Cool
how do you stay on top of everything? “You need to join 𝕏. 𝕏 is amazing now.” -@levelsio on the Lex pod
In 2019, OpenAI announced GPT-2 with this post: openai.com/index/better-l… Today (~5 years later) you can train your own for ~$672, running on one 8XH100 GPU node for 24 hours. Our latest llm.c post gives the walkthrough in some detail: github.com/karpathy/llm.c… Incredibly, the…
Claude 3.5 Sonnet changed the AI game. People are coming up with wild use cases without GPT-4o. Major shift. 10 examples:
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