Este álbum de fotos presenta a los miembros de la familia del autor, incluyendo a su hermano Richard, sus sobrinas y sobrino, su hermana y su sobrino Alexito, su tío Alex y José de Jesús, y su madre.
4th CAV BDE will be connecting our families members to our current mission here at Camp Atterbury. Come an enjoy a day of experience and fun at Camp Atterbury.
4th CAV BDE will be connecting our families members to our current mission here at Camp Atterbury. Come an enjoy a day of experience and fun at Camp Atterbury.
ELICIT & Correlates of Effective SchoolsMohamad Faiz
A systemic form of school consultancy that Engages all stakeholders, conducts LEAP analysis, develops Intervention strategy, Coaches the team, and scaffolds development with Information Technology (ELICIT).
Ever wondered how people become successful? With so many books and literature written on this topic, I thought that a simple ABC version would be useful for us common-folk. Enjoy!
This project is to provide the users, the latest stock market updates all on your mobile phone
It is built for android phone version 2.2.This application is for the general public who are interested to get the latest stock exchange information.
Exploring temporal graph data with Python: a study on tensor decomposition o...André Panisson
Tensor decompositions have gained a steadily increasing popularity in data mining applications. Data sources from sensor networks and Internet-of-Things applications promise a wealth of interaction data that can be naturally represented as multidimensional structures such as tensors. For example, time-varying social networks collected from wearable proximity sensors can be represented as 3-way tensors. By representing this data as tensors, we can use tensor decomposition to extract community structures with their structural and temporal signatures.
The current standard framework for working with tensors, however, is Matlab. We will show how tensor decompositions can be carried out using Python, how to obtain latent components and how they can be interpreted, and what are some applications of this technique in the academy and industry. We will see a use case where a Python implementation of tensor decomposition is applied to a dataset that describes social interactions of people, collected using the SocioPatterns platform. This platform was deployed in different settings such as conferences, schools and hospitals, in order to support mathematical modelling and simulation of airborne infectious diseases. Tensor decomposition has been used in these scenarios to solve different types of problems: it can be used for data cleaning, where time-varying graph anomalies can be identified and removed from data; it can also be used to assess the impact of latent components in the spreading of a disease, and to devise intervention strategies that are able to reduce the number of infection cases in a school or hospital. These are just a few examples that show the potential of this technique in data mining and machine learning applications.
ELICIT & Correlates of Effective SchoolsMohamad Faiz
A systemic form of school consultancy that Engages all stakeholders, conducts LEAP analysis, develops Intervention strategy, Coaches the team, and scaffolds development with Information Technology (ELICIT).
Ever wondered how people become successful? With so many books and literature written on this topic, I thought that a simple ABC version would be useful for us common-folk. Enjoy!
This project is to provide the users, the latest stock market updates all on your mobile phone
It is built for android phone version 2.2.This application is for the general public who are interested to get the latest stock exchange information.
Exploring temporal graph data with Python: a study on tensor decomposition o...André Panisson
Tensor decompositions have gained a steadily increasing popularity in data mining applications. Data sources from sensor networks and Internet-of-Things applications promise a wealth of interaction data that can be naturally represented as multidimensional structures such as tensors. For example, time-varying social networks collected from wearable proximity sensors can be represented as 3-way tensors. By representing this data as tensors, we can use tensor decomposition to extract community structures with their structural and temporal signatures.
The current standard framework for working with tensors, however, is Matlab. We will show how tensor decompositions can be carried out using Python, how to obtain latent components and how they can be interpreted, and what are some applications of this technique in the academy and industry. We will see a use case where a Python implementation of tensor decomposition is applied to a dataset that describes social interactions of people, collected using the SocioPatterns platform. This platform was deployed in different settings such as conferences, schools and hospitals, in order to support mathematical modelling and simulation of airborne infectious diseases. Tensor decomposition has been used in these scenarios to solve different types of problems: it can be used for data cleaning, where time-varying graph anomalies can be identified and removed from data; it can also be used to assess the impact of latent components in the spreading of a disease, and to devise intervention strategies that are able to reduce the number of infection cases in a school or hospital. These are just a few examples that show the potential of this technique in data mining and machine learning applications.
Los atletas olímpicos de la antigüedad participaban en los juegos movidos por el afán de
gloria, pero sobre todo por las suculentas recompensas que obtendrían si ganaban..
Es una presentación desde el punto de vista histórico, escultórico y pictórico, gracias a la
cual podemos apreciar a través del tiempo como el arte ha contribuido a la historia de
los olímpicos.
Portafolio final comunicación y expresión ll - ivan alarcon .pptxivandavidalarconcata
Los muros paramétricos son una herramienta poderosa en el diseño arquitectónico que ofrece diversas ventajas, tanto en el proceso creativo como en la ejecución del proyecto.