This document contains the name of a student, the course and subject information, teacher name, and a solved word search puzzle related to programming terms in Spanish. The word search contains terms like Scratch, Grabar, Area de Programas, Paleta de Bloqueos, Disfraces, Objeto, Agrandar Objeto, Sonidos, Cadenas, Escenario, Importar, Stack, Hats, Reporteros, Modo Vista, Scrits, Pintar, Sensores, Operadores, Control.
We have ethical responsibilities when coding. We’re able to extract remarkably precise intuitions about an individual. But do we have a right to know what they didn’t consent to share, even when they willingly shared the data that leads us there? A major retailer’s data-driven marketing accidentially revealed to a teen’s family that she was pregnant. Eek.
What are our obligations to people who did not expect themselves to be so intimately known without sharing directly? How do we mitigate against unintended outcomes? For instance, an activity tracker carelessly revealed users’ sexual activity data to search engines. A social network’s algorithm accidentally triggered painful memories for grieving families who’d recently experienced death of their child and other loved ones.
We design software for humans. Balancing human needs and business specs can be tough. It’s crucial that we learn how to build in systematic empathy.
In this talk, we'll delve into specific examples of uncritical programming, and painful results from using insightful data in ways that were benignly intended. You’ll learn ways we can integrate practices for examining how our code might harm individuals. We’ll look at how to flip the paradigm, netting consequences that can be better for everyone.
SLIDES: http://www.slideshare.net/cczona/consequences-of-an-insightful-algorithm
VIDEO: http://confreaks.tv/videos/rubyconf2015-keynote-consequences-of-an-insightful-algorithm
REVIEWS: https://wakelet.com/wake/5758ef98-8e71-4854-9ea2-683e0b5c98a3
KEYNOTE: RubyConf, JSConfEU, PyConAU, GOTO Berlin, Lean Agile Scotland, CUSEC, Open Source Bridge
ADDITIONAL: ArrrrCamp, EuRuKo, DjangoCon, WDCNZ, SCNA
We have ethical responsibilities when coding. We’re able to extract remarkably precise intuitions about an individual. But do we have a right to know what they didn’t consent to share, even when they willingly shared the data that leads us there? A major retailer’s data-driven marketing accidentially revealed to a teen’s family that she was pregnant. Eek.
What are our obligations to people who did not expect themselves to be so intimately known without sharing directly? How do we mitigate against unintended outcomes? For instance, an activity tracker carelessly revealed users’ sexual activity data to search engines. A social network’s algorithm accidentally triggered painful memories for grieving families who’d recently experienced death of their child and other loved ones.
We design software for humans. Balancing human needs and business specs can be tough. It’s crucial that we learn how to build in systematic empathy.
In this talk, we'll delve into specific examples of uncritical programming, and painful results from using insightful data in ways that were benignly intended. You’ll learn ways we can integrate practices for examining how our code might harm individuals. We’ll look at how to flip the paradigm, netting consequences that can be better for everyone.
SLIDES: http://www.slideshare.net/cczona/consequences-of-an-insightful-algorithm
VIDEO: http://confreaks.tv/videos/rubyconf2015-keynote-consequences-of-an-insightful-algorithm
REVIEWS: https://wakelet.com/wake/5758ef98-8e71-4854-9ea2-683e0b5c98a3
KEYNOTE: RubyConf, JSConfEU, PyConAU, GOTO Berlin, Lean Agile Scotland, CUSEC, Open Source Bridge
ADDITIONAL: ArrrrCamp, EuRuKo, DjangoCon, WDCNZ, SCNA
Presentación sobre Realidad Aumantada aplicada a la arqueología, para mi ponencia-taller en las jornadas de la Diada de Menorca en el IES Cap de Llevant
Chris Wróbel (vRational): Using VR and Imitation Machine Learning Algorithms ...AugmentedWorldExpo
A talk from the Develop Track at AWE EU 2018 - the World's #1 XR Conference & Expo in Munich, Germany 18 -19, October, 2018.
Chris Wróbel (vRational): Using VR and Imitation Machine Learning Algorithms for Training Robots
Robotics and VR have a huge potential to be used hand-in-hand in example for improving industrial processes with teleoperation or human-curated robot trainings.
In this talk, I will explain how to incorporate Machine Learning training into Unity projects and additionally use VR control for imitation learning algorithms accessible in ML Agents library. Besides, I will share the story of improving VR game experience with the UR3 industrial robot „Marvin”.
http://AugmentedWorldExpo.com
Agile Methodology has taken software development by storm. Now, Agile methods are being applied throughout organizations. This presentation is a high-level overview. Contact me to discuss my presenting this Agile Worksop in full detail to your team.
A lot of the time businesses are so focused on the big shiny thing at the end of a roadmap that nobody ever stops to question, is this the right thing? Is this something users want? Will this actually move the needle for the business?
In this talk, Adam goes over failures, successes, and general lessons learned over his career to date in publishing about testing hypotheses, engaging with users and bringing stakeholders along the journey. The technical restrictions and expectations that can come from that, and pitfalls to avoid will be discussed.
Conférence - Du bon usage d'une charte graphiqueDavid Endico
Créer une charte graphique ? Rien de plus facile ! Un petit coup de Times New Roman, du rouge pour faire plaisir à ma femme... Au pire, le petit neveu connait Photoshop, non ? Malgré son apparente simplicité, créer une charte graphique ne s’improvise pas. Qu’est-ce qu’une bonne charte graphique ? De quoi est-elle composée et quels sont les pièges à éviter ? Autant de mystères que nous allons ensemble élucider, pour le bien de votre identité !
Conférence animée par David Endico le 8 novembre 2017 à Now Coworking.
The slides cover Introduction to Big Data and Data Science, as well as go over our current and future projects @eHarmony.
eHarmony was founded to give people a better chance to find happy, passionate and fulfilling relationships.
During this talk I will describe steps that we go through to create Compatible matches and how we leverage Big Data technologies to accomplish that goal.
I will specifically talk on how we take Billion+ potential matches that we find through MongoDB, store them in Voldemort NoSQL datastore and then run multiple Hadoop jobs to come up with filtered list based on Machine Learned models.
Our hadoop clusters are in-house, high density, low power Seamicro installations and we use Spring Batch and Spring Data Hadoop to orchestrate the hadoop jobs.
Did you know that eHarmony is responsible for 5% of all new US marriages and that more than 600,000 people already got married through us?
Improve the Quality of Breaks with Kafka (Julian Stampfli, Spoud) Kafka Summi...HostedbyConfluent
Who is the best?
To answer this question once and for all we created a tool with which we can track scores, rankings and statistics. Why you might ask, it is simple, playing kicker, foosball or töggele is in our DNA. So is creating awesome tools with awesome components.
Kafka, especially integrated in Confluent Cloud, is one such component. Join us when we explain how we built a small utility to track games that we completely overengineered by using Kafka, KSQL, Quarkus and other fancy components. No matter what we tell others, we did it for fun. However, there are some real learnings we want to share that will help with building real-world streaming applications.
Jardim Uruçanga Hype Apartaments, Lançamento, Freguesia, Apartamentos no Rio...Suely Maia
JARDIM URUÇANGA HYPE APARTAMENTS
Localizado no Jardim Uruçanga em uma rua sem saída, com muita tranquilidade, muito verde. Venha mora num condomínio com apenas 30 apartamentos de 2 e 3 quartos com suíte e coberturas duplex. As unidades de 2 quartos medem entre 65,88 m² e 69,64m² e as unidades de 3 quartos medem 84,34m². As coberturas duplex de 2 quartos mede 130,35m² ; as coberturas duplex de 3 quartos entre 137,97 e 169,73m² e as coberturas duplex de 4 quartos medem 169,68m². Teremos 24 apartamentos com 1 vaga de garagem e as 6 coberturas com 2 vagas de garagens. Lazer completo para as 30 famílias. Segurança 24hs.
Agende sua visita comigo.
Vendas e informações: 98247-5035
Messaging Brokers are intrinsic part of our infrastructure and our experience with HornetQ has not been really great.
We have experienced issues that forced us to perform restarts multiple times a day and sometimes they weren't sufficient to fix the issue and data cleanup was needed resulting in loss of important messages.
Lack of documentation, lack of proper support and lack of stability of HornetQ broker are some of the reasons for looking into new Messaging Brokers.
During this session I will present the path we have taken to Prioritize Features -> Compare Brokers -> Eliminate -> Benchmark and the findings together with recommendations.
This task resulted in implementation of generic messaging broker benchmarking tool in Java, called Benchmark.io which we are intending to open source.
Upgrading OpenStack? Avoid these 3 Common PitfallsPlatform9
Upgrading OpenStack has been notoriously difficult for IT teams, with 20 million lines of code to understand and keep up to date.
With our managed OpenStack offering, the Platform9 team has done thousands of upgrades, leveraging DevOps and Cloud-Native principles to overcome common pitfalls.
In this PowerPoint, OpenStack Ambassador Kenneth Hui and DevOps Engineer, Harrison Page, will share:
- Top 3 common pitfalls when upgrading OpenStack
- Ways to avoid these common pitfalls
- Best practices for streamlining the OpenStack upgrade process
- How Platform9 enables painless OpenStack upgrades
Learn how to make OpenStack upgrades painless for you and your team!
Golden Gate - 2, 3 e 4 quartos - Centro Nova IguaçuAntonio Neto
O endereço mais nobre de Nova Iguaçu recebe agora um condomínio fechado a sua altura. 2, 3 e 4 quartos (all suítes) com até 137,75m², até 3 vagas de garagem e dependências; e coberturas de até 5 suítes, com até 252,68m², visão panorâmica e pé-direito duplo. A maior estrutura de lazer de Nova Iguaçu, bosque com vegetação nativa e alameda verde, segurança total para toda família com guarita de acesso, circuito interno de tv.
Presentación sobre Realidad Aumantada aplicada a la arqueología, para mi ponencia-taller en las jornadas de la Diada de Menorca en el IES Cap de Llevant
Chris Wróbel (vRational): Using VR and Imitation Machine Learning Algorithms ...AugmentedWorldExpo
A talk from the Develop Track at AWE EU 2018 - the World's #1 XR Conference & Expo in Munich, Germany 18 -19, October, 2018.
Chris Wróbel (vRational): Using VR and Imitation Machine Learning Algorithms for Training Robots
Robotics and VR have a huge potential to be used hand-in-hand in example for improving industrial processes with teleoperation or human-curated robot trainings.
In this talk, I will explain how to incorporate Machine Learning training into Unity projects and additionally use VR control for imitation learning algorithms accessible in ML Agents library. Besides, I will share the story of improving VR game experience with the UR3 industrial robot „Marvin”.
http://AugmentedWorldExpo.com
Agile Methodology has taken software development by storm. Now, Agile methods are being applied throughout organizations. This presentation is a high-level overview. Contact me to discuss my presenting this Agile Worksop in full detail to your team.
A lot of the time businesses are so focused on the big shiny thing at the end of a roadmap that nobody ever stops to question, is this the right thing? Is this something users want? Will this actually move the needle for the business?
In this talk, Adam goes over failures, successes, and general lessons learned over his career to date in publishing about testing hypotheses, engaging with users and bringing stakeholders along the journey. The technical restrictions and expectations that can come from that, and pitfalls to avoid will be discussed.
Conférence - Du bon usage d'une charte graphiqueDavid Endico
Créer une charte graphique ? Rien de plus facile ! Un petit coup de Times New Roman, du rouge pour faire plaisir à ma femme... Au pire, le petit neveu connait Photoshop, non ? Malgré son apparente simplicité, créer une charte graphique ne s’improvise pas. Qu’est-ce qu’une bonne charte graphique ? De quoi est-elle composée et quels sont les pièges à éviter ? Autant de mystères que nous allons ensemble élucider, pour le bien de votre identité !
Conférence animée par David Endico le 8 novembre 2017 à Now Coworking.
The slides cover Introduction to Big Data and Data Science, as well as go over our current and future projects @eHarmony.
eHarmony was founded to give people a better chance to find happy, passionate and fulfilling relationships.
During this talk I will describe steps that we go through to create Compatible matches and how we leverage Big Data technologies to accomplish that goal.
I will specifically talk on how we take Billion+ potential matches that we find through MongoDB, store them in Voldemort NoSQL datastore and then run multiple Hadoop jobs to come up with filtered list based on Machine Learned models.
Our hadoop clusters are in-house, high density, low power Seamicro installations and we use Spring Batch and Spring Data Hadoop to orchestrate the hadoop jobs.
Did you know that eHarmony is responsible for 5% of all new US marriages and that more than 600,000 people already got married through us?
Improve the Quality of Breaks with Kafka (Julian Stampfli, Spoud) Kafka Summi...HostedbyConfluent
Who is the best?
To answer this question once and for all we created a tool with which we can track scores, rankings and statistics. Why you might ask, it is simple, playing kicker, foosball or töggele is in our DNA. So is creating awesome tools with awesome components.
Kafka, especially integrated in Confluent Cloud, is one such component. Join us when we explain how we built a small utility to track games that we completely overengineered by using Kafka, KSQL, Quarkus and other fancy components. No matter what we tell others, we did it for fun. However, there are some real learnings we want to share that will help with building real-world streaming applications.
Jardim Uruçanga Hype Apartaments, Lançamento, Freguesia, Apartamentos no Rio...Suely Maia
JARDIM URUÇANGA HYPE APARTAMENTS
Localizado no Jardim Uruçanga em uma rua sem saída, com muita tranquilidade, muito verde. Venha mora num condomínio com apenas 30 apartamentos de 2 e 3 quartos com suíte e coberturas duplex. As unidades de 2 quartos medem entre 65,88 m² e 69,64m² e as unidades de 3 quartos medem 84,34m². As coberturas duplex de 2 quartos mede 130,35m² ; as coberturas duplex de 3 quartos entre 137,97 e 169,73m² e as coberturas duplex de 4 quartos medem 169,68m². Teremos 24 apartamentos com 1 vaga de garagem e as 6 coberturas com 2 vagas de garagens. Lazer completo para as 30 famílias. Segurança 24hs.
Agende sua visita comigo.
Vendas e informações: 98247-5035
Messaging Brokers are intrinsic part of our infrastructure and our experience with HornetQ has not been really great.
We have experienced issues that forced us to perform restarts multiple times a day and sometimes they weren't sufficient to fix the issue and data cleanup was needed resulting in loss of important messages.
Lack of documentation, lack of proper support and lack of stability of HornetQ broker are some of the reasons for looking into new Messaging Brokers.
During this session I will present the path we have taken to Prioritize Features -> Compare Brokers -> Eliminate -> Benchmark and the findings together with recommendations.
This task resulted in implementation of generic messaging broker benchmarking tool in Java, called Benchmark.io which we are intending to open source.
Upgrading OpenStack? Avoid these 3 Common PitfallsPlatform9
Upgrading OpenStack has been notoriously difficult for IT teams, with 20 million lines of code to understand and keep up to date.
With our managed OpenStack offering, the Platform9 team has done thousands of upgrades, leveraging DevOps and Cloud-Native principles to overcome common pitfalls.
In this PowerPoint, OpenStack Ambassador Kenneth Hui and DevOps Engineer, Harrison Page, will share:
- Top 3 common pitfalls when upgrading OpenStack
- Ways to avoid these common pitfalls
- Best practices for streamlining the OpenStack upgrade process
- How Platform9 enables painless OpenStack upgrades
Learn how to make OpenStack upgrades painless for you and your team!
Golden Gate - 2, 3 e 4 quartos - Centro Nova IguaçuAntonio Neto
O endereço mais nobre de Nova Iguaçu recebe agora um condomínio fechado a sua altura. 2, 3 e 4 quartos (all suítes) com até 137,75m², até 3 vagas de garagem e dependências; e coberturas de até 5 suítes, com até 252,68m², visão panorâmica e pé-direito duplo. A maior estrutura de lazer de Nova Iguaçu, bosque com vegetação nativa e alameda verde, segurança total para toda família com guarita de acesso, circuito interno de tv.
Curso "Servicios Públicos y Ordenación Urbanística" - Unidad 3: Gestión de servicios públicos locales. Prof. Ricardo Cuberos Mejía - Maestría en Vivienda, facultad de Arquitectura y Diseño, Universidad del Zulia, en Maracaibo, Venezuela. Marzo 2011
Sopa de letras con vocabulario de matemáticas para alumnos de nivel secundaria, vienen dos por hoja, solo hay que imprimir y recortar por la línea punteada.
1. Nombre: Brayan Alexander Uzeta Martinez
Curso : 802
Materia: Informática
Profesor: Jhon Caraballo
Solución de la Evaluación periódica unificada
2. Sopa de letras
A D E F G A G G H H E D O D F C B R SCRATCH
F S D E D R F F D D G T G F F S A D GRABAR
D C X A X E S D D S E D S C V T D C AREA DE PROGRAMAS
W R S D S A S T F J A A R C R F S C PALETA DE BLOQUEOS
D I E S C D F F B X C C R O D S S D DISFRACES
D P R C S E O X D Z C P C Y D S D OBJETO
Z T O R A P S Z Z V X M R H F D D D AGRANDAR OBJETO
A S S A S R O X Z X I B E D S O F F SONIDOS
S R N T N O E C C V G G F S J T V E CADENAS
S R E C T G U O P E R A D O R E S D ESSENARIO
S F S H S R Q C Z F S V S S J J V F IMPORTAR
S R G A H A O G C F A V X F B D C A STACK
G D A D E M L X X V N C A H R O S D HATS
D G A D G A B G T F E N A S S R A P REPORTERS
R R Q W R S E S R F D X R T D A F H MODO VISTA
D A R E G S D S E C A R F S I D K A SCRITS
R B E R B F A E A D C S F R N L T PINTAR
R A E F D A T S X D G S T C R A J S SENSORES
D R D D E E E S C E N A R I O R T I OPERADORES
G D A A D S L R A F G T G T D A G V CONTROL
S B X V R Z A Z X A F A R I R G D O
S G H Z X D P Z P I N T A R R A N D
E D S F K F G J S F H H R T F G S O
D S T C O S O N I D O S S F R F A M
F D A Q E R T Y U I A S U D D S B S
F T H S C F R R E P O R T E R S C S
S G A C O N T R O L S D R T D S D H
3. Sopa de letras solucionada
A D E F G A G G H H E D O D F C B R SCRATCH
F S D E D R F F D D G T G F F S A D GRABAR
D C X A X E S D D S E D S C V T D C AREA DE PROGRAMAS
W R S D S A S T F J A A R C R F S C PALETA DE BLOQUEOS
D I E S C D F F B X C C R O D S S D DISFRACES
D P R C S E O X D Z C P C Y D S D OBJETO
Z T O R A P S Z Z V X M R H F D D D AGRANDAR OBJETO
A S S A S R O X Z X I B E D S O F F SONIDOS
S R N T N O E C C V G G F S J T V E CADENAS
S R E C T G U O P E R A D O R E S D ESSENARIO
S F S H S R Q C Z F S V S S J J V F IMPORTAR
S R G A H A O G C F A V X F B D C A STACK
G D A D E M L X X V N C A H R O S D HATS
D G A D G A B G T F E N A S S R A P REPORTERS
R R Q W R S E S R F D X R T D A F H MODO VISTA
D A R E G S D S E C A R F S I D K A SCRITS
R B E R B F A E A D C S F R N L T PINTAR
R A E F D A T S X D G S T C R A J S SENSORES
D R D D E E E S C E N A R I O R T I OPERADORES
G D A A D S L R A F G T G T D A G V CONTROL
S B X V R Z A Z X A F A R I R G D O
S G H Z X D P Z P I N T A R R A N D
E D S F K F G J S F H H R T F G S O
D S T C O S O N I D O S S F R F A M
F D A Q E R T Y U I A S U D D S B S
F T H S C F R R E P O R T E R S C S
S G A C O N T R O L S D R T D S D H