El documento contiene varios enlaces a páginas web sobre temas de medicina, fisiología humana, elecciones en Colombia y prevención de drogadicción en niños en México. También incluye un párrafo sobre la definición de fisiología y una traducción al español sobre una leyenda urbana relacionada con el tráfico de drogas.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
• What is MapReduce?
• What are MapReduce implementations?
Facing these questions I have make a personal research, and realize a synthesis, which has help me to clarify some ideas. The attached presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
1) I Am Legend is a 2007 post-apocalyptic sci-fi thriller starring Will Smith as Dr. Robert Neville, one of the last surviving humans in New York City after a virus wipes out most of humanity.
2) The virus was engineered to cure cancer but mutated into a lethal strain that killed billions and turned survivors into nocturnal, aggressive mutants.
3) As the last man in New York, Neville searches for a cure while evading the infected mutants and struggling with loneliness.
El documento contiene varios enlaces a páginas web sobre temas de medicina, fisiología humana, elecciones en Colombia y prevención de drogadicción en niños en México. También incluye un párrafo sobre la definición de fisiología y una traducción al español sobre una leyenda urbana relacionada con el tráfico de drogas.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
• What is MapReduce?
• What are MapReduce implementations?
Facing these questions I have make a personal research, and realize a synthesis, which has help me to clarify some ideas. The attached presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
1) I Am Legend is a 2007 post-apocalyptic sci-fi thriller starring Will Smith as Dr. Robert Neville, one of the last surviving humans in New York City after a virus wipes out most of humanity.
2) The virus was engineered to cure cancer but mutated into a lethal strain that killed billions and turned survivors into nocturnal, aggressive mutants.
3) As the last man in New York, Neville searches for a cure while evading the infected mutants and struggling with loneliness.
Présentation de la conférence qui a été donnée le 29 mai 2016 à Montréal lors du Congrès annuel des Langagiers.
Pour plus d'informations, contactez-moi : http://pierrelucpoulin.com
Dynamic personalization and real-time pricing are discussed. Personalization involves using customer data to customize offers, while dynamic pricing sets prices based on supply and demand. Techniques include first, second, and third-degree price discrimination. Real-time pricing allows changing prices instantly based on market conditions. Personalization requires profiling customers, managing content, matching customers to offers, and dynamic delivery. Technologies like collaborative filtering and rule engines can power personalization.
Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces.
Facing this domain I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. The presentation that you could reach via the link below, does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
• What is a web log?
• Where do they come from?
• Why are they relevant?
• How can we analyze them?
• What about Clickstream?
Facing these questions I have make a personal research, and realize a synthesis, which has help me to clarify some ideas. This presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
Big Data and GeoMarketing, Geolocation, Geotargeting, Geomatic,…Michel Bruley
Facing the terms: Geomarketing, Geolocation, Geotargeting, Geomatic,… I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. The attached presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
Next-best offer refers to the use of predictive analytics solutions to identify the products or services your customers are most likely to be interested in for their next purchase.
Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. This presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
Big Data and Natural Language ProcessingMichel Bruley
Natural Language Processing (NLP) is the branch of computer science focused on developing systems that allow computers to communicate with people using everyday language.
This document discusses social network analysis and its applications. It defines a social network as a social structure made up of individuals or organizations connected by relationships. Social network analysis maps and measures these relationships to derive insights. The document provides an overview of key social network analysis concepts like nodes, edges, degrees of separation, centrality, and communities. It then discusses various business applications of social network analysis like churn reduction, cross-selling, marketing, and competitive analysis. Overall, the document promotes social network analysis as a technique for understanding relationship dynamics and improving business outcomes.
This document discusses sentiment analysis, which is the computational study of opinions expressed in text. It defines sentiment analysis as identifying the positive, negative, or neutral orientation of opinions expressed in documents, sentences, or features of an object. The document outlines that sentiment analysis can be performed at the word, sentence, or document level. It also explains that sentiment analysis aims to structure unstructured text by discovering quintuples that represent opinions in terms of the object, feature, sentiment, opinion holder, and time. The document provides examples of applications of sentiment analysis like review classification and product feature analysis.
Big Data & Text Mining: Finding Nuggets in Mountains of Textual Data
Big amount of information is available in textual form in databases or online sources, and for many enterprise functions (marketing, maintenance, finance, etc.) represents a huge opportunity to improve their business knowledge. For example, text mining is starting to be used in marketing, more specifically in analytical customer relationship management, in order to achieve the holy 360° view of the customer (integrating elements from inbound mails, web comments, surveys, internal notes, etc.).
Facing this new domain I have make a personal research, and realize a synthesis, which has help me to clarify some ideas. The below presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
Présentation de la conférence qui a été donnée le 29 mai 2016 à Montréal lors du Congrès annuel des Langagiers.
Pour plus d'informations, contactez-moi : http://pierrelucpoulin.com
Dynamic personalization and real-time pricing are discussed. Personalization involves using customer data to customize offers, while dynamic pricing sets prices based on supply and demand. Techniques include first, second, and third-degree price discrimination. Real-time pricing allows changing prices instantly based on market conditions. Personalization requires profiling customers, managing content, matching customers to offers, and dynamic delivery. Technologies like collaborative filtering and rule engines can power personalization.
Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces.
Facing this domain I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. The presentation that you could reach via the link below, does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
• What is a web log?
• Where do they come from?
• Why are they relevant?
• How can we analyze them?
• What about Clickstream?
Facing these questions I have make a personal research, and realize a synthesis, which has help me to clarify some ideas. This presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
Big Data and GeoMarketing, Geolocation, Geotargeting, Geomatic,…Michel Bruley
Facing the terms: Geomarketing, Geolocation, Geotargeting, Geomatic,… I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. The attached presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
Next-best offer refers to the use of predictive analytics solutions to identify the products or services your customers are most likely to be interested in for their next purchase.
Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. This presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
Big Data and Natural Language ProcessingMichel Bruley
Natural Language Processing (NLP) is the branch of computer science focused on developing systems that allow computers to communicate with people using everyday language.
This document discusses social network analysis and its applications. It defines a social network as a social structure made up of individuals or organizations connected by relationships. Social network analysis maps and measures these relationships to derive insights. The document provides an overview of key social network analysis concepts like nodes, edges, degrees of separation, centrality, and communities. It then discusses various business applications of social network analysis like churn reduction, cross-selling, marketing, and competitive analysis. Overall, the document promotes social network analysis as a technique for understanding relationship dynamics and improving business outcomes.
This document discusses sentiment analysis, which is the computational study of opinions expressed in text. It defines sentiment analysis as identifying the positive, negative, or neutral orientation of opinions expressed in documents, sentences, or features of an object. The document outlines that sentiment analysis can be performed at the word, sentence, or document level. It also explains that sentiment analysis aims to structure unstructured text by discovering quintuples that represent opinions in terms of the object, feature, sentiment, opinion holder, and time. The document provides examples of applications of sentiment analysis like review classification and product feature analysis.
Big Data & Text Mining: Finding Nuggets in Mountains of Textual Data
Big amount of information is available in textual form in databases or online sources, and for many enterprise functions (marketing, maintenance, finance, etc.) represents a huge opportunity to improve their business knowledge. For example, text mining is starting to be used in marketing, more specifically in analytical customer relationship management, in order to achieve the holy 360° view of the customer (integrating elements from inbound mails, web comments, surveys, internal notes, etc.).
Facing this new domain I have make a personal research, and realize a synthesis, which has help me to clarify some ideas. The below presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.