Deep #ReinforcementLearning Hands-On — A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF: http://
amzn.to/3MV9o60 [Third Edition] v/ @PacktPublishing ———
#AI #MachineLearning #DeepLearning #DataScience #DataScientist
———
𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
CODE
-
Deep Reinforcement Learning Hands-On Guide: Q-Learning to RLHF
By
–
-
Diffusion Models and Score-Based Generative Models Explained
By
–
Diffusion Models From Scratch | Score-Based Generative Models Explained | Math Explained https://
bit.ly/4gHxVs3 -
Developer Creates Festive Tetris Game Using AI Agents
By
–
Created for under $2, @adriana0nline built this festive Tetris game, using only Agent and Assistant. Try it out: https://t.co/8JbaDuFt32. pic.twitter.com/3FEIN6Dz6v
— Replit ⠕ (@Replit) 21 décembre 2024Created for under $2, @adriana0nline built this festive Tetris game, using only Agent and Assistant. Try it out: https://
festive-tetris.replit.app. -
Building Fasting App in Minutes on Replit Instead of Paid Subscription
By
–
Instead of paying $30/year, @Hznus built his own fasting app in <10 min on Replit, straight from his phone.
-
O3-mini Outperforms O1 on Coding Tasks at Lower Cost
By
–
seemingly somewhat lost in the noise of today: on many coding tasks, o3-mini will outperform o1 at a massive cost reduction! i expect this trend to continue, but also that the ability to get marginally more performance for exponentially more money will be really strange.
-
GitHub AI Engineering Hub Content Planner Flow Repository
By
–
Check out the incredible post by @akshay_pachaar below…
— Kirk Borne (@KirkDBorne) 21 décembre 2024
And visit the related GitHub: https://t.co/CbK5kcop3P https://t.co/6er6UfKgVJCheck out the incredible post by @akshay_pachaar below… And visit the related GitHub: https://
github.com/patchy631/ai-e
ngineering-hub/tree/main/content_planner_flow
… -
Designing Machine Learning Systems for Production-Ready Applications
By
–
Designing #MachineLearning Systems — An Iterative Process for Production-Ready Applications: http://
amzn.to/46epLSi by @chipro (formerly @ClaypotAI
, now @VoltronData
)
———
#DataScience #AI #ML #MLOps #DataScientist
———
Topics covered: Engineering data and choosing the right -
Comprehensive Machine Learning Python Book for Algorithmic Trading
By
–
Comprehensive 822-page book on #MachineLearning with #Python for #AlgorithmicTrading (useful in many other business & industry #TimeSeries applications): http://
amzn.to/3aCyVwY by @ml4trading ——
#IoT #IIoT #Edge #AI #DataScience #EdgeComputing #Industry40 #EdgeAI #Forecasting -
Neural Network Architectures Infographic Guide
By
–
Infographic of Neural Network Architectures — https://
bit.ly/2gI7pFc
————
#AI #DataScience #ML #DeepLearning #MachineLearning #NeuralNetworks
