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Distributed learning in an on-premise cluster - A Kaggle Reinforcement Learning case Have you tried any distributed learning algorithms? If you are just starting out in this area, I have my doubts, but if you have been on this path for a few years, you might have faced one of those models. The incredible development of the machine learning area in the last decade has not only brought a new state of the art to several problems but has also taken processing optimization and parallelization to another level. With increasingly larger models, any common machine or even a single supread more

Machine Learning Reproducibility: A Kaggle Competition Use-CaseEven though Reproducibility in Machine Learning is a theme that people hear about now and then, we still see that people are practicing it only to a certain degree. Even between Kaggle [https://www.kaggle.com/] competition winners, we still see a lot of hard-to-reproduce code in Notebooks. Our goal here is to outline some reproducibility elements and how we tackled them in a recent competition. First, what reproducibility stands for in Machine Learning? During a Machine Learning project, we havread more

Porto Seguro Challenge - 2nd Place Solution We are pleased to announce that we got second place in the Porto Seguro Challenge, a competition organized by the largest insurance company in Brazil. Porto Seguro challenged us to build an algorithm to identify potential buyers of their products. If you are interested in knowing how to do the same and still discover the secrets that led us to second place, read on below! Introduction In this problem, Porto Seguro provided us with data of users who bought or did not buy one of its products. Tread more

Predicting Reading Level of Texts - A Kaggle NLP CompetitionIntroduction: One of the main fields of AI is Natural Language Processing and its applications in the real world. Here on Amalgam.ai [https://amalgam.ai/] we are building different models to solve some of the problems around the NLP world, and by consequence, trying to make the world a better place. The Competition: Can machine learning identify the appropriate reading level of a passage of text, and help inspire learning? Reading is an essential skill for academic success. When students have aread more

Porto Seguro ChallengeIntroduction: In the modern world the competition for marketing space is fierce, nowadays every company that wants the slight advantage needs AI to select the best customers and increase the ROI of marketing campaigns. And of course, our team at Amalgam.ai is developing solutions to this field. The Challenge: In this competition we were challenged to build a model that predicts the probability of a customer purchasing a product. The score chosen to measure the quality of the prediction was theread more

Distributed learning in an on-premise cluster - A Kaggle Reinforcement Learning case Have you tried any distributed learning algorithms? If you are just starting out in this area, I have my doubts, but if you have been on this path for a few years, you might have faced one of those models. The incredible development of the machine learning area in the last decade has not only brought a new state of the art to several problems but has also taken processing optimization and parallelization to another level. With increasingly larger models, any common machine or even a single supread more

Machine Learning Reproducibility: A Kaggle Competition Use-CaseEven though Reproducibility in Machine Learning is a theme that people hear about now and then, we still see that people are practicing it only to a certain degree. Even between Kaggle [https://www.kaggle.com/] competition winners, we still see a lot of hard-to-reproduce code in Notebooks. Our goal here is to outline some reproducibility elements and how we tackled them in a recent competition. First, what reproducibility stands for in Machine Learning? During a Machine Learning project, we havread more

Porto Seguro Challenge - 2nd Place Solution We are pleased to announce that we got second place in the Porto Seguro Challenge, a competition organized by the largest insurance company in Brazil. Porto Seguro challenged us to build an algorithm to identify potential buyers of their products. If you are interested in knowing how to do the same and still discover the secrets that led us to second place, read on below! Introduction In this problem, Porto Seguro provided us with data of users who bought or did not buy one of its products. Tread more

Predicting Reading Level of Texts - A Kaggle NLP CompetitionIntroduction: One of the main fields of AI is Natural Language Processing and its applications in the real world. Here on Amalgam.ai [https://amalgam.ai/] we are building different models to solve some of the problems around the NLP world, and by consequence, trying to make the world a better place. The Competition: Can machine learning identify the appropriate reading level of a passage of text, and help inspire learning? Reading is an essential skill for academic success. When students have aread more

Porto Seguro ChallengeIntroduction: In the modern world the competition for marketing space is fierce, nowadays every company that wants the slight advantage needs AI to select the best customers and increase the ROI of marketing campaigns. And of course, our team at Amalgam.ai is developing solutions to this field. The Challenge: In this competition we were challenged to build a model that predicts the probability of a customer purchasing a product. The score chosen to measure the quality of the prediction was theread more

Distributed learning in an on-premise cluster - A Kaggle Reinforcement Learning case Have you tried any distributed learning algorithms? If you are just starting out in this area, I have my doubts, but if you have been on this path for a few years, you might have faced one of those models. The incredible development of the machine learning area in the last decade has not only brought a new state of the art to several problems but has also taken processing optimization and parallelization to another level. With increasingly larger models, any common machine or even a single supread more

Machine Learning Reproducibility: A Kaggle Competition Use-CaseEven though Reproducibility in Machine Learning is a theme that people hear about now and then, we still see that people are practicing it only to a certain degree. Even between Kaggle [https://www.kaggle.com/] competition winners, we still see a lot of hard-to-reproduce code in Notebooks. Our goal here is to outline some reproducibility elements and how we tackled them in a recent competition. First, what reproducibility stands for in Machine Learning? During a Machine Learning project, we havread more

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