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Principles of #DeepLearning Theory—Theoretical & Mathematical Foundations See 471-page PDF Draft: arxiv.org/abs/2106.10165 -or- Buy new: amzn.to/3qoqmS5 ——— #DataScience #AI #MachineLearning #NeuralNetworks #LinearAlgebra #Algorithms #Mathematics #Calculus #DataScientists
All the Math You Missed (But Need to Know for Graduate School) [2nd Edition]: amzn.to/3JAodqk —————— #Mathematics #LinearAlgebra #Calculus #Topology #NumberTheory #Combinatorics #Algorithms #AnalyticGeometry
![KirkDBorne's tweet image. All the Math You Missed (But Need to Know for Graduate School) [2nd Edition]: amzn.to/3JAodqk
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#Mathematics #LinearAlgebra #Calculus #Topology #NumberTheory #Combinatorics #Algorithms #AnalyticGeometry](https://pbs.twimg.com/media/GFXXj99XIAAesfd.jpg)
Physics-based #DeepLearning [287-page PDF]: arxiv.org/abs/2109.05237 Learn more: physicsbaseddeeplearning.org ————— #AI #MachineLearning #DataScience #Physics #NeuralNetworks #Algorithms #Mathematics #ReinforcementLearning
![KirkDBorne's tweet image. Physics-based #DeepLearning [287-page PDF]: arxiv.org/abs/2109.05237
Learn more: physicsbaseddeeplearning.org
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#AI #MachineLearning #DataScience #Physics #NeuralNetworks #Algorithms #Mathematics #ReinforcementLearning](https://pbs.twimg.com/media/GFV7lOvXsAAFJio.jpg)
👉 Machine Learning with Graphs ny @Stanford Learn some of the latest graph techniques in machine learning: 💹 PageRank 📈 Matrix Factorizing 📊 Node Embeddings 📉 Graph Neural Networks 〽️ Knowledge Graphs
How does OAuth 2.0 Work? OAuth 2.0 is an authorization framework that enables applications to access a user’s data on another service (like Facebook or GitHub) without sharing the user’s password. It’s essentially a digital handshake between the app, service, and user, with…
Network protocols function as the main pillars that enable communication between devices over a network. Understanding major networking protocols is important for developers. However, there are a lot to remember. Here's a break down some of the most important ones:
OpenCopilot is at 4.2K GitHub stars! ⭐⭐ github.com/openchatai/Ope… It's a way to let your product's users chat with your product functionality and execute stuff by text, a kind of custom AI copilot. & We released a lot of cool things. Mostly, The could version now is much more…
🤖 Reinforcement Learning Lecture Series by @DeepMind This Deep Learning Lecture Series on Reinforcement Learning is a collaboration between DeepMind and the UCL Centre for Artificial Intelligence. 🔗youtube.com/playlist?list=…
👉 From Zero to AI Research Scientist Full Resources Guide This guide is for anybody with basic programming knowledge interested in becoming a Research Scientist in Deep Learning and NLP. 🔗 github.com/ahmedbahaaeldi…
Practical #MachineLearning for #ComputerVision — End-to-End ML for Images: amzn.to/4ajfVSf ———— #BigData #DataScience #AI #DeepLearning #NeuralNetworks
The original train-test split has one major issue: You only have one chance! But Cross-validation solves this problem. Here it is clearly explained 🔽 Instead of one training set and model, in cross-validation, the data is divided into many groups, and multiple models are…
🔘 @MIT Deep Learning in Life Sciences A course introducing foundations of ML for applications in genomics and the life sciences more broadly. 🔗 Course ➡️ youtube.com/playlist?list=… 🔗 Materials ➡️ mit6874.github.io
Residuals (Lesson 5 of 24): Residuals are the key to improving model performance. But it took me 5 years to figure this out. In 5 minutes, I'll share what took me 5 years to figure out. Let's go. 1. What are residuals? In statistics and machine learning, "residuals" refer to the…
Download 698-page PDF >> Everything You Always Wanted To Know About Mathematics* (*But didn’t even know to ask) A Guided Journey Into the World of Abstract Mathematics and the Writing of Proofs: math.cmu.edu/~jmackey/151_1…
What is Retrieval-Augmented Generation (RAG)? We will discuss: - The origins of RAG - The LLM's limitations that it tries to fix - Its architecture - Why is it so popular Bonus: A list of open-source tools for RAG implementation! turingpost.com/p/rag
If you want to MASTER chatGPT; Learn prompt engineering. Here are 5 prompt frameworks that will help you UNLOCK the full potential of chatGPT:
We have 15,000+ GPT’s and 40,000+ shared AI conversations. You can upload videos and additional instructions and see how others have used the GPT’s through viewing shared conversations using those GPT’s. It’s Free! x.com/danbrownusa/st…
9. Healthy Chef GPT A straightforward recipe and nutrition advisor built right into ChatGPT. Link: supertools.therundown.ai/content/health… x.com/DaniAcostaAI/s…
rundown.ai
Healthy Chef - The Rundown AI
Straightforward recipe and nutrition advisor for healthy cooking.
I created new GPTs Welcome to Healthy Chef that creates recipes based on your dietary needs • It uses @spoonacular APIs to fetch nutritional and ingredient data • You can take a photo of your available ingredients • It helps with dietary preferences chat.openai.com/g/g-OdwKeQjDm-…
Stanford CS25 - Transformers United Great set of lectures on advanced applications and topics related to Transformers. My favorite lectures are the ones on common sense reasoning and generalist agents in open-ended worlds. Some of the lectures are a bit old now but the…
Are you teaching a deep learning course this semester? In addition to the other resources on the book website (udlbook.com), I've recently added my Powerpoint slides for a 20 lecture 2nd year undergraduate course. Follows the book closely.
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