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Data Science Senior Specialist | PwC Bulgaria | Обяви

Data Science Senior Specialist | PwC Bulgaria | Обяви
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United States , United Kingdom , Risk Assurance Services , Recurrent Neural Network , Term Memory Network , Convolutional Neural Network , Data Science , Eastern European , Central Europe , North America , Linear Regression , Generalized Linear Model , Support Vector Machine , Nearest Neighbors , Density Estimation , Means Clustering , Gaussian Mixture Model , Random Forest , Stacking Regressor , Deep Learning , Multilayer Perceptron , Long Short Term Memory Network ,

Study aims to enhance rainfall prediction in arid landscapes

Study aims to enhance rainfall prediction in arid landscapes
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United States , United Arab Emirates , Mohsen Sherif , Doctoral Research Scholar Faisal Baig , Computer Engineering Of Colorado State University , Energy Center , Department Of Electrical , National Water , United Arab Emirates University , Random Forest , Gradient Boost , Support Vector Machine , Multilayer Perceptron , Linear Regression , Professor Mohsen Sherif , Information Technology , Computer Engineering , Colorado State University , Higher Education , Cademic Freedom ,

"DFN: A deep fusion network for flexible single and multi-modal action " by Chuankun Li, Yonghong Hou et al.

Multi-modal action recognition methods can be generally classified into two categories: (1) fusing multi-modal features with simple concatenation or fusing the classification scores of individual modalities without considering the interaction among the multi-modalities; (2) using one of the modalities as privileged information in training to boost the recognition on the other modalities in inference. The former approach usually is not able to deal with the cases where one of the modalities is missing. In the latter, the trained classifier does not work on the privileged modality. To address these shortcomings, this paper presents a novel end-to-end trainable deep fusion network (DFN) that is able to improve the performance not only in the cases where all modalities are available and also in the cases where there is a missing modality. The DFN is simple yet effective with the capability of retrieving an estimation of one modality by using another modality through a Multilayer Perceptron ....

Multilayer Perceptron , Deep Learning , Uman Action Recognition , Multi Modal Fusion ,

GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. - GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. ....

Romano Roth , Andrej Karpathy , Rachael Tatman , Thomas Thelen , Jay Alammar , Lilian Weng , Google Colab , Fastest Library To , Neural Networks , Recurrent Neural Networks Rnns , A Survey On Evaluation , Large Language Model , Fastest Library , Large Language , Science Libraries , Learning Libraries , Mean Squared Error , Gradient Descent , Stochastic Gradient Descent , Multilayer Perceptron , Language Processing , Extraction Techniques , Term Frequency Inverse Document , Illustrated Transformer , Performance Computing , Policy Optimization ,

MyJournals.org - Science - 'Entropy, Vol. 25, Pages 1186: Water Quality Prediction Based on Machine Learning and Comprehensive Weighting Methods' (Entropy)

MyJournals.org - Science - 'Entropy, Vol. 25, Pages 1186: Water Quality Prediction Based on Machine Learning and Comprehensive Weighting Methods' (Entropy)
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Support Vector Machines , Multilayer Perceptron , Random Forest , Long Short Term Memory , Dissolved Oxygen ,