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Artificial Intelligence
How I Won at Italian Fantasy Football âš½ Using Machine Learning
Where it failed or might be improvedThe algorithm’s weak point lays in predicting the performance of goalkeepers. A separate neural network was developed, utilizing different features and adding clean sheet probability as an output....
Artificial Intelligence
Learning Transformers Code First: Part 1 — The Setup
I don’t learn about you, but sometime taking a look at code is simpler than reading papers. Once I was working on AdventureGPT, I began by reading the source code to BabyAGI, an implementation...
Artificial Intelligence
Harnessing the Power of AI and Machine Learning to Solve Global Financial Problems.
Unmasking Deception with Intelligent Algorithms Financial fraud is a pervasive problem that drains resources and undermines trust. By deploying AI and ML algorithms, financial institutions can swiftly detect fraudulent activities by analyzing large...
Artificial Intelligence
Machine Learning Made Intuitive
ML: all you have to know with none overcomplicated mathHere, the sigma represents the sigmoid activation function. Great, so now we have our model, and we just have to determine what weights and biases...
Artificial Intelligence
Can Synthetic Data Boost Machine Learning Performance? Background — Imbalanced Datasets The Dataset The Model Generating Synthetic Data Assessing Performance with Precision Recall Charts Bootstrapping Holdout Dataset Conclusion
To acquire a strong view of performance on the holdout set, I created fifty bootstrapped holdout sets from the unique. Running the models related to each approach across all sets provides a distribution of...
Artificial Intelligence
Can Synthetic Data Boost Machine Learning Performance? Background — Imbalanced Datasets The Dataset The Model Generating Synthetic Data Assessing Performance with Precision Recall Charts Bootstrapping Holdout Dataset Conclusion
To acquire a strong view of performance on the holdout set, I created fifty bootstrapped holdout sets from the unique. Running the models related to each approach across all sets provides a distribution of...
Artificial Intelligence
Implementing math in deep learning papers into efficient PyTorch code: SimCLR Contrastive Loss
IntroductionOne of the perfect ways to deepen your understanding of the mathematics behind deep learning models and loss functions, and likewise an incredible strategy to improve your PyTorch skills is to get used to...
Artificial Intelligence
Learning the language of molecules to predict their properties
Discovering recent materials and medicines typically involves a manual, trial-and-error process that...
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