Tag: Training, validation, and test sets

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Google Research's Prediction Depth: Understanding the Laws that Govern DL Data Processing

Added to Collection on: 2021-06-25 15:45:00

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Articles
Academic disciplines
Machine learning
Artificial intelligence
Artificial neural networks
Computational neuroscience
Deep learning
Training, validation, and test sets
Prediction
Types of artificial neural networks

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Insane Exploratory Data Analysis Libraries

Added to Collection on: 2021-06-27 04:07:30

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Machine learning
Anaconda
Pip
Training, validation, and test sets
Conda
Software
Technology

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Guide To Dimensionality Reduction With Recursive Feature Elimination

Added to Collection on: 2021-06-27 06:45:00

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Machine learning
Artificial intelligence
Learning
Cognition
Feature selection
Boosting
RFE
Training, validation, and test sets
Recursion
Feature
Overfitting
Statistical classification

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When A Good Machine Learning Model Is So Bad

Added to Collection on: 2021-06-29 11:03:45

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Machine learning
Learning
Artificial intelligence
Cognition
Overfitting
Cross-validation
Gradient boosting
Training, validation, and test sets
Bias–variance tradeoff
Supervised learning

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Optibrium Publishes Major Peer-Reviewed Study on AI Applications to Global Pharma Data

Added to Collection on: 2021-06-29 08:26:15

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Articles
Academic disciplines
Natural sciences
Drug discovery
Machine learning
Imputation
Missing data
Deep learning
High-throughput screening
Assay
Training, validation, and test sets
Pharmaceutical industry in China
Optibrium Ltd.

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Meet Meerkat, A New Data Library To Wrangle Complex ML Datasets

Added to Collection on: 2021-06-30 12:33:45

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Articles
Machine learning
Data management
Science and technology
Technology
Training, validation, and test sets
Validity
Meerkat
Github

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Guide To Microsoft's FLAML

Added to Collection on: 2021-06-30 06:22:30

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Machine learning
Artificial intelligence
Learning
Statistical analysis
Automated machine learning
Training, validation, and test sets
Cross-validation
Artificial neural network
Regression analysis
Model selection
Hyperparameter
Mean squared error

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What's Your Favorite Machine Learning Flavor? | by TDS Editors | Jul, 2021 | Towards Data Science

Added to Collection on: 2021-07-02 04:44:26

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Machine learning
Academic disciplines
Computational neuroscience
Artificial intelligence
Articles
Artificial neural networks
Computational statistics
Convolutional neural network
Training, validation, and test sets
Natural language processing

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Google AI Introduces A Dataset for Studying Gender Bias in Machine Translation

Added to Collection on: 2021-07-04 15:56:15

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Gender equality
Academic disciplines
Feminism
Machine learning
Human behavior
Cybernetics
Learning
Gender neutrality
Training, validation, and test sets
Bias
Gender

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How To Win A Kaggle Competition

Added to Collection on: 2021-07-05 13:30:00

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Machine learning
Computing
Learning
Academic disciplines
Artificial intelligence
Data analysis
Applied machine learning
Google Cloud
Kaggle
Training, validation, and test sets
Feature engineering
Overfitting

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