The F1 Score: Time Series Model Championships
A ranking system of time series models based on the Monash dataset benchmarks using the mase metric and the formula 1 scoring system.
GenAI: I don't care what it is and you shouldn't either
A look at the history of AI and how the terms AI, Machine Learning, Deep Learning and Generative AI have evolved over time.
1Cycle scheduling: State of the art timeseries forecasting
How to get state of the art timeseries forecasting results using machine learning with my variant of DeepAR and 1Cycle Scheduling
Super-convergence: Supercharge your Neural Networks
A look at 1Cycle scheduling, one of my favourite techniques at improving model performance and practical guidance on how to use it
A fistful of MASE: Deconstructing DeepAR
A deep dive into the GluonTS DeepAR neural network model architecture for time series forecasting and an ablation study of the covariates.
Predicting covariates: Is it a good idea?
A study which evaluates the effectiveness of predicting covariates in LSTM Neural Networks for Time Series Forecasting
Teacher Forcing: A look at what it is and the alternatives
Review of teacher forcing, free running, scheduled-sampling, professor forcing and attention forcing for training auto-regresssive neural networks
Human-level control through deep reinforcement learning
Recreating the experiments from the classic 2015 Deepmind Paper by Mnih et al.: Human-level control through deep reinforcement learning
Revisiting Playing Atari with Deep Reinforcement Learning
Recreating the experiments from the classic DQN Deepmind paper by Mnih et al.: Playing Atari with Deep Reinforcement Learning
A discussion about the future of AI in 2024
From the Cloudapps Winning with AI podcast on YouTube: A discussion with Joshua Harris about the future of AI in 2024
A discussion about the history of AI
From the Cloudapps Winning with AI podcast on YouTube: A discussion with Joshua Harris about the history of AI