Boosting Research with Machine Learning

Explore how machine learning is revolutionizing research in this 30-minute EuroPython Conference talk. Discover the impact of ML on daily life and its growing role as a powerful research tool. Learn about Python libraries like keras and scikit-learn that have simplified ML implementation across various fields. Examine real-world applications, including automatic neuron recognition in histological images and predicting arm movements from EEG signals. Gain insights into Python-based techniques for data preparation and analysis, covering standard ML methods and cutting-edge deep neural network implementations. Follow the talk's structure from introduction to building ML pipelines, preprocessing, prediction, and network structures, concluding with a wrap-up and Q&A session.

Intro
Building blocks of ML pipelines
Predicting arm movements
Preprocessing
Prediction
Raw data
Neural network
Network structure
Example
Wrapup
Questions