Supercharging Pipeline Efficiency with ML Performance Prediction
26 min

Supercharging Pipeline Efficiency with ML Performance Prediction

PyCon - PyCon US 2023
Boaz Wiesner Keren Meron
python celery kubernetes machine-learning pipeline-optimization data-pipelines performance-prediction autoscaling cloud-cost-optimization aws-spot-instances svms data-processing
Skynet 101: How to Keep Your Machine Learning Code From Getting Away From You
27 min

Skynet 101: How to Keep Your Machine Learning Code From Getting Away From You

PyCon - PyCon US 2023
Elizabeth Johnson
machine-learning python test-driven-development tdd data-analysis data-cleaning scikit-learn pandas jupyter-notebooks pytest recommendation-engines
Approaches to Fairness and Bias Mitigation in Natural Language Processing
31 min

Approaches to Fairness and Bias Mitigation in Natural Language Processing

PyCon - PyCon US 2023
Angana Borah
natural-language-processing nlp bias-mitigation machine-learning ai deep-learning transformer-models bert gpt ai-ethics
Python Meets UX: Enhancing User Experience with Code
29 min

Python Meets UX: Enhancing User Experience with Code

PyCon - PyCon US 2023
Neeraj Pandey Aashka Dhebar
python ux user-experience web-development data-analysis machine-learning automation design
Simulaciones moleculares reproducibles con la ayuda de Python
34 min

Simulaciones moleculares reproducibles con la ayuda de Python

PyCon - PyCon US 2023
Iván Pulido
python molecular-dynamics scientific-computing openmm openmmtools perses biomolecules machine-learning drug-discovery computational-chemistry protein-databank force-fields
XGBoost para Clasificación: Construyendo Modelos Precisos y Eficientes
36 min

XGBoost para Clasificación: Construyendo Modelos Precisos y Eficientes

PyCon - PyCon US 2023
Laura Funderburk
xgboost classification machine-learning python data-science model-building hyperparameter-tuning feature-importance gradient-boosting wine-quality
Catching Tensor Shape Errors without Running Your Code
27 min

Catching Tensor Shape Errors without Running Your Code

PyCon - PyCon US 2023
Pradeep Srinivasan
machine-learning tensor-shapes type-checking python numpy pytorch debugging static-analysis ml-development broadcasting
Reproducible molecular simulations with Python
31 min

Reproducible molecular simulations with Python

PyCon - PyCon US 2023
Iván Pulido
python molecular-dynamics simulations scientific-computing openmm machine-learning ai reproducibility computational-chemistry computational-physics
Transforming a Jupyter Notebook into a Reproducible Pipeline for ML Experiments
27 min

Transforming a Jupyter Notebook into a Reproducible Pipeline for ML Experiments

PyCon - PyCon US 2023
Rob de Wit
jupyter-notebooks machine-learning ml-pipelines reproducible-research data-science git dvc experiment-tracking python stable-diffusion
Start Thinking Small: Next Level Machine Learning with TinyML and Python
32 min

Start Thinking Small: Next Level Machine Learning with TinyML and Python

PyCon - PyCon US 2023
Maria Jose Molina Contreras
tinyml machine-learning python micropython circuitpython embedded-systems microcontrollers predictive-maintenance iot sensors
Pythonic Functional (iter)tools for your data challenges
33 min

Pythonic Functional (iter)tools for your data challenges

PyCon - PyCon US 2023
Valerio Maggio
python functional-programming data-science machine-learning itertools functools map-reduce advent-of-code data-processing iterators
Resolviendo crímenes con Python mediante el Procesamiento del Lenguaje Natural (NLP)
35 min

Resolviendo crímenes con Python mediante el Procesamiento del Lenguaje Natural (NLP)

PyCon - PyCon US 2023
Carolina Passarello
python nlp machine-learning deep-learning forensics text-analysis data-science conversational-ai sentiment-analysis cybercrime natural-language-processing