Rob Mulla demonstrates vLLM on TPUs, from provisioning a TPU virtual machine and checking the hardware to Docker installation, endpoint testing and benchmarking. The chapter list also covers a pip installation route. This is a practical deployment walkthrough, not an independently verified…
Hyperparameter Tuning Tips that 99% of Data Scientists Overlook
Why it matters
Rob Mulla walks through XGBoost hyperparameter tuning with Optuna, including dataset preparation, parameter searches, visualisations and GPU acceleration. The description advertises a speed-up from XGBoost 3.0, but that is the creator's claim rather than a result…
Rob Mulla examines GPU-accelerated scikit-learn using cuML. The chapters compare CPU and GPU training, cover environment setup and data preparation, and finish with benchmarks and his assessment. It is useful implementation context, not a promise that every workload will run faster.
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