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Machine Learning

Machine Learning Meets Quantum Mechanics

BlogModelingMachine Learningposted by Burak Himmetoglu August 2, 2017

Recently, I have published an article on Journal of Chemical Physics, entitled Tree based machine learning framework for predicting ground state energies of molecules (link to article and preprint). The article discusses in detail, the application of machine learning algorithms to predict ground state energies of molecules. Current standard of computationally... Read more
Machine Learning: An In-Depth Guide – Model Evaluation, Validation, Complexity, and Improvement

Machine Learning: An In-Depth Guide – Model Evaluation, Validation, Complexity, and Improvement

BlogModelingMachine Learningposted by Alex Castrounis July 19, 2017

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the third article in a five-part series about machine learning. In... Read more
Machine Learning: An In-Depth Guide – Data Selection, Preparation, and Modeling

Machine Learning: An In-Depth Guide – Data Selection, Preparation, and Modeling

BlogData WranglingModelingPredictive AnalyticsMachine Learningposted by Alex Castrounis July 11, 2017

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the second article in a five-part series about machine learning. In... Read more
Machine Learning: An In-Depth Guide – Overview, Goals, Learning Types, and Algorithms

Machine Learning: An In-Depth Guide – Overview, Goals, Learning Types, and Algorithms

BlogData WranglingModelingNLP/Text AnalyticsPredictive AnalyticsMachine Learningposted by Alex Castrounis July 6, 2017

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome! This is the first article of a five-part series about machine learning.... Read more
A survey of cross-lingual embedding models

A survey of cross-lingual embedding models

BlogModelingNLP/Text AnalyticsMachine Learningposted by Sebastian Ruder May 24, 2017

In past blog posts, we discussed different models, objective functions, and hyperparameter choices that allow us to learn accurate word embeddings. However, these models are generally restricted to capture representations of words in the language they were trained on. The availability of resources, training data, and... Read more
The Complexities of Governing Machine Learning

The Complexities of Governing Machine Learning

BlogModelingMachine Learningposted by Immuta May 13, 2017

Today’s businesses run on data. It’s essential for any corporation to look for insights about their customers based on the data they collect. That collected information drives everything from business strategy to customer service. In order to retrieve insights from the massive amounts of data they... Read more
The future of Machine Learning lies in its (human) past

The future of Machine Learning lies in its (human) past

ModelingPredictive AnalyticsMachine Learningposted by Marcelo Rinesi May 10, 2017

Superficially different in goals and approach, two recent algorithmic advances, Bayesian Program Learning and Galileo, are examples of one of the most interesting and powerful new trends in data analysis. It also happens to be the oldest one. Bayesian Program Learning (BPL) is deservedly one of... Read more
Cognitive Machine Learning (2): Uncertain Thoughts

Cognitive Machine Learning (2): Uncertain Thoughts

ModelingPredictive AnalyticsMachine Learningposted by Shakir Mohamed April 17, 2017

She pined in thought,  And with a green and yellow melancholy She sat like Patience on a monument,  Smiling at grief. Was not this love indeed?   In King Lear, Shakespeare stirs a sense of self-consciousness by invoking Patience, sitting up high;... Read more
Transfer Learning – Machine Learning’s Next Frontier

Transfer Learning – Machine Learning’s Next Frontier

Deep LearningModelingMachine Learningposted by Sebastian Ruder April 9, 2017

Table of contents: What is Transfer Learning? Why Transfer Learning Now? A Definition of Transfer Learning Transfer Learning Scenarios Applications of Transfer Learning Learning from simulations Adapting to new domains Transferring knowledge across languages Transfer Learning Methods Using pre-trained CNN features Learning domain-invariant representations Making representations... Read more
Cognitive Machine Learning (1): Learning to Explain

Cognitive Machine Learning (1): Learning to Explain

Deep LearningModelingPredictive AnalyticsResearchStatisticsMachine Learningposted by Shakir Mohamed April 8, 2017

Above is an image of the Zaamenkomst panel: one of the best remaining exemplars of rock art from the San people of Southern Africa. As soon as you see it, you are inevitably herded, like the eland in the scene, through a series of thoughts. Does it have a meaning?  Why are... Read more
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