Technology, Science and Universe
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- Sustainable Development Goals Description: The Sustainable Development Goals (SDGs) are a collection of 17 global goals established by the United Nations in 2015, aimed at(...) Read more
- Sociology of Technology Description: The sociology of technology is the study of how social values and norms influence the development and use of technology. This(...) Read more
- Stakeholder Theory Description: The Stakeholder Theory is an organizational management and business ethics approach that focuses on considering the interests of(...) Read more
- Sustainable Innovation Description: Sustainable innovation refers to the creation of products and processes that not only aim to be efficient and profitable but also(...) Read more
- Social Cohesion Description: Social cohesion refers to the bonds that unite individuals within a society, promoting trust, cooperation, and a sense of(...) Read more
- Sustainable Business Description: Sustainable businesses are those that implement business practices that create long-term value for consumers and employees,(...) Read more
- Social License Description: The Social License refers to the ongoing acceptance and approval of a company's operations by its employees, stakeholders, and the(...) Read more
- Sustainable Supply Chain Description: A sustainable supply chain is a comprehensive approach that seeks to minimize negative environmental and social impacts throughout(...) Read more
- Social Media Ethics Description: The ethics of social media refers to the principles and guidelines that govern the responsible use of these platforms. In a world(...) Read more
- Sparse Tensor Description: A sparse tensor is a tensor that is mostly filled with zeros and only stores non-zero values. This data structure is fundamental in(...) Read more
- Session.run Description: The 'Session.run' method in TensorFlow is a fundamental function that allows executing operations within a TensorFlow session. This(...) Read more
- Sigmoid Description: The sigmoid function is an activation function that maps any real number to a value between 0 and 1. This characteristic makes it a(...) Read more
- SparseCategoricalCrossentropy Description: Sparse Categorical Crossentropy is a loss function widely used in multi-class classification problems, where class labels are(...) Read more
- Softplus Description: Softplus is an activation function used in neural networks as a smooth alternative to the ReLU (Rectified Linear Unit) function.(...) Read more
- Sparsity Regularization Description: Sparsity regularization is a technique used in the training of machine learning models that aims to encourage sparsity in the model(...) Read more