Basic statistics
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The document summarizes the results of a survey of 16 respondents (8 girls and 8 boys) on their favorite color, cell phone brand, zodiac sign, and religion. It displays the results in tables broken down by gender and totals. Blue was the most popular color overall. Sony Ericsson was the most popular cell phone brand. More girls preferred Gemini as their zodiac sign while more boys preferred Aries. Catholicism was the dominant religion.
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1) The document discusses rules for exponents such as the product rule, quotient rule, power rule, and rules for negative exponents and exponents of zero.
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Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
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Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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Basic statistics
- 1. Annalyn Escobia Elaine Venus Elepaño
- 2. Separate the boys from the girls . After that, chose equal number of respondents. Then, draw a sample from each stratum.
- 3. We decide to get the respondents’ favorite color, cell phone brand, zodiac sign and religion.
- 4. Blue Violet Orang Red Yellow White Green Brown e Girls 4 or 2 or 1 or 1 or 0 0 0 0 25% 12.5% 6.25% 6.25% Boy 1 or 0 0 1 or 1 or 1 or 2 or 2 or s 6.25% 6.25% 6.25% 6.25% 12.25% 12.25% Total 5 or 2 or 1 or 2 or 1 or 1 or 2 or 2 or 31.25% 12.5% 6.25% 12.5% 6.25% 6.25% 12.25% 12.25% Favorite Color
- 5. Sony Nokia Cherry Samsun My Kingco Ericson Mobile g Phone m Girls 2 or 4 or 25% 1 or 1 or 0 0 12.5% 6.25% 6.25% Boys 0 3 or 0 2 or 1 or 1 or 18.75% 12.5% 6.25% 6.25% Total 2 or 7 or 1 or 3 or 1 or 1 or 12.5% 43.75% 6.25% 18.75% 6.25% 6.25% Cell phone Brand
- 6. Gemin Cance Pisce Scorpi Aries Sagitt Aquar Capric i r s o arius ius orn Girls 1 or 2 or 2 or 1 or 1 or 1 or 0 0 6.25% 12.5% 12.5% 6.25% 6.25% 6.25% Boys 3 1 or 0 0 1 or 1 or 1 or 2 or or18.7 6.25% 6.25% 6.25% 6.25% 12.5% 5% Total 4 or 3 2 or 1 or 2 or 2 or 1 or 2 or 25% or18.7 12.5% 6.25% 12.5% 12.5% 6.25% 12.5% 5% Zodiac Sign
- 7. Catholic Iglesia Ni Christian Cristo Girls 7 or 43.75% 1 or 6.25% 0 Boys 6 or 37.5% 0 2 or 12.5% Total 13 or 81.25% 1 or 6.25% 2 or 12.5% Religion