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The document summarizes key concepts for graphing linear equations in algebra 1, including that a solution to an equation is an ordered pair that makes the equation true, the solution set is all possible solutions, and the graph of a linear equation forms a straight line. It provides instructions for graphing equations by rewriting the equation, choosing x-values to substitute in, and plotting the resulting ordered pairs. Horizontal and vertical lines are also discussed, with the key point being that equations containing only x or y will produce horizontal or vertical lines when graphed.
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Mathematics xii paper 13 with answer with value vased questions
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Et oui, grande nouvelle vous êtes enceinte ! À un âge auquel beaucoup de vos amies sorties du cycle infernal des études sont déjà mères, comment concilier formation, internat et future vie de maman ?
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Tableau 1 : Durée des congés maternité en fonction du nombre de foetus, d’après statut de l’interne en médecine enceinte, propositions de l’ISNAR-IMG validées en conseil d’administration à Grenoble le 21 juin 2008
La durée totale du congé maternité n’est pas réduite si l’accouchement a lieu avant la date prévue. Le médecin peut prolonger le congé maternité de deux semaines en cas d’allaitement maternel.
reseauprosante.fr
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Mathematics xii paper 13 with answer with value vased questions
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This upload is for benefit of my students.More you drill , you will expertise yourself.
Pratima Nayak,KV,Fort WilliamModule 2 exponential functions
This module introduces exponential functions and covers:
- Finding the roots of exponential equations using the property of equality for exponential equations.
- Simplifying expressions using laws of exponents.
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MTH 162 N. Agras Unit 3 Review Spring 2016___________________.docx
MTH 162 N. Agras Unit 3 Review
Spring 2016
_______________________ _____
PRINT LAST, First Name section
NO INK!!! WORK THAT IS NOT NEAT WILL NOT BE GRADED!!!!
A.
Basic definitions and concepts
1.
Definition:
A sequence
}
{
n
a
converges means ______________________
2.
Definition:
A series converges if
}
{
lim
n
n
s
¥
®
_______________
3.
A geometric series converges provided _____________________ and if a
geometric series converges, its sum
=
¥
S
4.
A p-series converges provided ___________________________
5.
To use the Integral Test on
å
¥
=
1
n
n
a
with
n
a
n
f
=
)
(
these conditions are necessary:
6.
We use the Ratio test when the generator consists of ___________________
7.
The nth Term test is used to prove ___________
8.
The Harmonic series _______________ while the alternating Harmonic series
____________
9-14:
Assume series of positive terms.
9.
å
¥
=
1
n
n
a
has the same order of magnitude as
å
¥
=
1
n
n
b
if ___________________
10.
We use the limit comparison test when the generator consists of ______________
11.
If
å
¥
=
1
n
n
b
converges and
n
n
b
a
£
what can we conclude about
å
¥
=
1
n
n
a
?
12.
If
å
¥
=
1
n
n
b
converges and
n
n
b
a
³
what can we conclude about
å
¥
=
1
n
n
a
?
13.
If
å
¥
=
1
n
n
b
diverges and
n
n
b
a
³
what can we conclude about
å
¥
=
1
n
n
a
?
14.
If
å
¥
=
1
n
n
b
diverges and
n
n
b
a
£
what can we conclude about
å
¥
=
1
n
n
a
?
15.
If
å
¥
=
1
n
n
b
converges and
n
n
n
b
a
)
1
(
-
=
what can we conclude about
å
¥
=
1
n
n
a
?
16.
If
å
¥
=
1
n
n
b
diverges and
n
n
n
b
a
)
1
(
-
=
what can we conclude about
å
¥
=
1
n
n
a
?
17.
The conditions that must be met for the alternating series
å
¥
=
1
n
n
a
EMBED Equation.3
å
¥
=
-
=
1
)
1
(
n
n
n
b
to converge are:
B.
Determine if the sequence
{
}
n
a
converges or diverges. If it converges, find its limit. If it diverges, state the reason.
1.
)
arctan(
n
a
n
=
______
2.
÷
ø
ö
ç
è
æ
=
n
a
n
1
cos
______
3.
(
)
n
a
n
p
cos
=
______
4.
12
7
3
5
2
2
2
+
+
+
+
=
n
n
n
n
a
n
______
5.
1
6
3
2
)
1
(
+
+
-
=
n
n
a
n
n
______
6.
1
6
3
2
)
1
(
2
+
+
-
=
n
n
a
n
n
______
7.
n
n
a
)
7
.
0
(
12
=
______
8.
n
n
a
)
7
.
1
(
12
=
______
C.
Identify each of the following as a p-series, a multiple of a p-series, or a geometric series. Identify p or r. State whether the series converges or diverges.
1.
n
n
å
¥
=
÷
ø
ö
ç
è
æ
0
5
3
4
______
2.
0.272727…
______
3.
(
)
n
n
å
¥
=
0
01
.
1
2
______
4.
å
¥
=
1
2
3
1
n
n
______
5.
...
25
1
16
1
9
1
4
1
1
+
+
+
+
______
6.
...
7
1
6
1
5
1
2
1
3
1
2
1
+
+
+
+
+
+
______
7.
...
625
8
125
4
25
2
5
1
+
+
+
______
D.
1.
Prove that
å
¥
=
1
n
n
a
has the same order of magnitude as
å
¥
=
1
n
n
b
then state whether ...
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1. Solve the following linear equation using equivalent equations to isolate the variable. Write your solution as a whole number.
Answer: ____________________
2. Solve the following linear equation using equivalent equations to isolate the variable. Write your solution as a whole number.
Answer: ____________________
3. Solve the following linear equation using equivalent equations to isolate the variable. Write your solution as a whole number.
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Answer: ____________________
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Answer: ____________________
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A)
B)
10.
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.
Answer: _______________
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Answer: ____________________
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A) __________ B) undefined
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Answer: ____________________
22.
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Answer: ____________________
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1. Solve the following linear equation using equivalent equations to isolate the variable. Write your solution as a whole number.
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Answer: ____________________
3. Solve the following linear equation using equivalent equations to isolate the variable. Write your solution as a whole number.
Answer: ____________________
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Answer: ____________________
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Answer: ____________________
6. Evaluate the following expression.
Answer: ____________________
7. Find the following sum:
Answer: ____________________
8. Compute the value of the following sum.
Answer: ____________________
9. Determine whether or not the given number is a solution to the given equation by substituting and then evaluating.
A)
B)
10.
Find the following sum.
.
Answer: _______________
11. Find the following difference.
Answer: ____________________
12. Evaluate the following expression:
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13. Evaluate the following expression:
Answer: _______________
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A) __________ B) undefined
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Answer: ____________________
17. Evaluate the given expression at .
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Answer: ____________________
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Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
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
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
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!
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.
CAKE: Sharing Slices of Confidential Data on Blockchain
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Recently uploaded (20)
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
CAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on Blockchain
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
4.2 agraphing
- 1. Algebra 1 4.2 Graphing Linear Equations (p. 210 – 217) A ___________________ to an equation is an ordered pair (x, y) that makes the equation ________________. The _____________________ of the equation is the set of __________ the solutions. The graph of a ____________________ equation is a _______________. VERIFYING SOLUTIONS OF AN EQUATION: Ex 1: Check to see if the following points are solutions to x + 3y = 6: (1, 2) (– 3, 3) GRAPHING AN EQUATION: 1. Rewrite the equation by ___________________________. 2. Choose a few values for x and make an _________________________________. 3. ______________ each ordered pair. 4. Connect the points with a straight line. Graph y + 2 = 3x: Graph 3x + 2y = 1:
- 2. HORIZONTAL AND VERTICAL LINES • The graph of y = b is a ____________________________ line. o There is no x in that equation. • The graph of x = a is a ____________________________ line. o There is no y in that equation. What are the x values for the points on the line x = – 1? HW p. 214 (12 – 20 even, 30 – 46 even)