ML MiniLesson: Using pretrained layers
Transfer learning take layers of an existing neural network previously trained on a (usually large) dataset. These layers are the starting point to build a n...
Posts by Tag
- Machine Learning 3
- Data 2
- Python 1
- Feature Engineering 1
- Genomics 1
- Geochemistry 1
- R 1
- LLMs 1
- Transfer Learning 1
- TensorFlow 1
- Deep Learning 1
- NLP 1
- Claim Verification 1
Machine Learning
Sustainable data preprocessing with pipelines
Early in my modeling of the Titanic dataset (a kind of “Hello World” for machine learning), I was struck by the variety - or inconsistency - of data preproce...
Installing AutoSklearn with conda
I really wanted to try out the examples of using AutoSklearn over at Machine Learning Mastery. But when I ran pip install auto-sklearn, an error occurred:
Data
Thermodynamic data consistency: The case of Li-mica
How do ore deposits form? This question motivates geochemists to build internally consistent thermodynamic databases to predict conditions where minerals pre...
Sustainable data preprocessing with pipelines
Early in my modeling of the Titanic dataset (a kind of “Hello World” for machine learning), I was struck by the variety - or inconsistency - of data preproce...
Python
Installing AutoSklearn with conda
I really wanted to try out the examples of using AutoSklearn over at Machine Learning Mastery. But when I ran pip install auto-sklearn, an error occurred:
Feature Engineering
Hypothesis-driven feature engineering
I’m starting a machine learning project to use microbial communities as biosensors for redox potential. Why is this important? Well, redox potential (written...
Genomics
Hypothesis-driven feature engineering
I’m starting a machine learning project to use microbial communities as biosensors for redox potential. Why is this important? Well, redox potential (written...
Geochemistry
Thermodynamic data consistency: The case of Li-mica
How do ore deposits form? This question motivates geochemists to build internally consistent thermodynamic databases to predict conditions where minerals pre...
R
Thermodynamic data consistency: The case of Li-mica
How do ore deposits form? This question motivates geochemists to build internally consistent thermodynamic databases to predict conditions where minerals pre...
LLMs
LLMs in Claim Verification
Scientific papers make lots of claims with supporting citations. However, even well-intentioned writers make mistakes, and automated citation verification is...
Transfer Learning
ML MiniLesson: Using pretrained layers
Transfer learning take layers of an existing neural network previously trained on a (usually large) dataset. These layers are the starting point to build a n...
TensorFlow
ML MiniLesson: Using pretrained layers
Transfer learning take layers of an existing neural network previously trained on a (usually large) dataset. These layers are the starting point to build a n...
Deep Learning
Experimenting with transformer models for citation verification
Automated verification of scientific claims represents a critical application of natural language processing in maintaining research integrity. The exponenti...
NLP
Experimenting with transformer models for citation verification
Automated verification of scientific claims represents a critical application of natural language processing in maintaining research integrity. The exponenti...
Claim Verification
Experimenting with transformer models for citation verification
Automated verification of scientific claims represents a critical application of natural language processing in maintaining research integrity. The exponenti...