What is-requirement-traceability-matrix-and-why-is-it-needed-pooja deshmukh
A traceability matrix is an archive that compares any two-baseline documents that require a many
to-many relationship to check the fulfillment of the relationship. It is utilized to track the
prerequisites and to check that the present project necessities are met.
What is-requirement-traceability-matrix-and-why-is-it-needed-pooja deshmukh
A traceability matrix is an archive that compares any two-baseline documents that require a many
to-many relationship to check the fulfillment of the relationship. It is utilized to track the
prerequisites and to check that the present project necessities are met.
Dynamic DSM - Energy Savings includes a simple method to quickly select measures - as well as flexible editing, and calculations for energy savings and incentives, among many others features.
Dynamic DSM Features - Data IntegrationDynamic DSM
Built on the framework of Microsoft Dynamics CRM, our DSM tracking software leverages the built-in integration options of SSIS and the Connector for Microsoft Dynamics.
This slideshare gives introduction of matlab and covers the points like Features
Scope of MATLAB
Applications
MATLAB Windows (Editor, Work space, Command history, Command Window)
Operations with variables
Matrix Operations & Operators
Clearing Operations
and training
The Ultimate Guide to Ad0 e407 adobe target architect masterSoniaSrivastva
Please follow the below link to get this ultimate guide -
https://bit.ly/2Zv7LXG
Prepare for your AD0-E407 Adobe Target Architect Master Certification Exam with this table-free study guide. Features include a two-column layout to help you read, review, and retain the most important points from each chapter, as well as multiple practice questions to test what you've learned. The Professional Certifications book series from Adobe Press is your best resource for all the latest updates on the Developer certification exams.
Visualizing Model Selection with Scikit-Yellowbrick: An Introduction to Devel...Benjamin Bengfort
This is an overview of the goals and roadmap for the Yellowbrick model visualization library (www.scikit-yb.org). If you're interested in contributing to Yellowbrick or writing visualizers, this is a good place to get started.
In the presentation we discuss the expected workflow of data scientists interacting with the model selection triple and Scikit-Learn. We describe the Yellowbrick API and it's relationship to the Scikit-Learn API. We introduce our primary object: the Visualizer, an estimator that learns from data and displays it visually. Finally we describe the requirements for developing for Yellowbrick, the tools and utilities in place and how to get started.
Yellowbrick is a suite of visual diagnostic tools called "Visualizers" that extend the Scikit-Learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines Scikit-Learn with Matplotlib in the best tradition of the Scikit-Learn documentation, but to produce visualizations for your models!
This presentation was given during the opening session of the 2017 Spring DDL Research Labs.
Performed predictive Data analytics for “Black Friday Sales Dataset” wherein the company wants to predict the purchase amount against the products using Rapid Miner Tool.
Dynamic DSM - Energy Savings includes a simple method to quickly select measures - as well as flexible editing, and calculations for energy savings and incentives, among many others features.
Dynamic DSM Features - Data IntegrationDynamic DSM
Built on the framework of Microsoft Dynamics CRM, our DSM tracking software leverages the built-in integration options of SSIS and the Connector for Microsoft Dynamics.
This slideshare gives introduction of matlab and covers the points like Features
Scope of MATLAB
Applications
MATLAB Windows (Editor, Work space, Command history, Command Window)
Operations with variables
Matrix Operations & Operators
Clearing Operations
and training
The Ultimate Guide to Ad0 e407 adobe target architect masterSoniaSrivastva
Please follow the below link to get this ultimate guide -
https://bit.ly/2Zv7LXG
Prepare for your AD0-E407 Adobe Target Architect Master Certification Exam with this table-free study guide. Features include a two-column layout to help you read, review, and retain the most important points from each chapter, as well as multiple practice questions to test what you've learned. The Professional Certifications book series from Adobe Press is your best resource for all the latest updates on the Developer certification exams.
Visualizing Model Selection with Scikit-Yellowbrick: An Introduction to Devel...Benjamin Bengfort
This is an overview of the goals and roadmap for the Yellowbrick model visualization library (www.scikit-yb.org). If you're interested in contributing to Yellowbrick or writing visualizers, this is a good place to get started.
In the presentation we discuss the expected workflow of data scientists interacting with the model selection triple and Scikit-Learn. We describe the Yellowbrick API and it's relationship to the Scikit-Learn API. We introduce our primary object: the Visualizer, an estimator that learns from data and displays it visually. Finally we describe the requirements for developing for Yellowbrick, the tools and utilities in place and how to get started.
Yellowbrick is a suite of visual diagnostic tools called "Visualizers" that extend the Scikit-Learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines Scikit-Learn with Matplotlib in the best tradition of the Scikit-Learn documentation, but to produce visualizations for your models!
This presentation was given during the opening session of the 2017 Spring DDL Research Labs.
Performed predictive Data analytics for “Black Friday Sales Dataset” wherein the company wants to predict the purchase amount against the products using Rapid Miner Tool.
The presentation outlines a methodology of queuing model-based load testing of large (with thousands users) enterprise applications deployed on premise and in the Cloud
Metric Management: a SigOpt Applied Use CaseSigOpt
These slides correspond to a recording of a live webcast of a demo of Metric Management functionality in SigOpt, keeping model size down while increasing validation accuracy for a road sign image classification problem.
IBM Cognos 10 Framework Manager Metadata Modeling: Tips and TricksSenturus
Senturus shares insights and tips on IBM Cognos 10 Framework Manager Metadata Modeling. View the video recording and download this deck: http://www.senturus.com/resources/cognos-framework-manager-metadata-modeling-tips-tricks/.
Topics Include:
• Use determinants, parameter maps and query macros to implement row level security
• Understand the use of determinants and their importance
• Enhance your metadata by leveraging parameter maps and query macros
See a live demonstration of implementing row-level security based on user attributes, dimensional modeling of relational query subjects and use of Model Design Accelerator.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
The AI-powered employee Appraisal system based on a credit system is a softwa...Chan563583
The AI-powered employee Appraisal system based on a credit system is a software application that aims to provide an efficient and fair way of calculating employee incentives in an organization. The system will use artificial intelligence (AI) algorithms (classification) to analyze employee performance data and assign credits to each employee based on their performance.
The system will work by first defining a set of key performance indicators (KPIs) that are relevant to the organization's goals and objectives. These KPIs could include metrics such as sales revenue, customer satisfaction scores, or project completion rates. Each employee's performance data will then be measured against these KPIs, and the system will assign credits to each employee based on their performance.
The credits assigned to each employee will be used to determine their incentive payout, with higher-performing employees receiving a higher payout. The system will also have the capability to adjust the weight age of different KPIs based on the organization's priorities and objectives.
The classification algorithm used in the system will continuously learn and improve over time, as they are fed more data and feedback from the organization. This will ensure that the system remains relevant and accurate as the organization's goals and objectives evolve.
Application Performance: 6 Steps to Enhance Performance of Critical SystemsCAST
See more ways to improve application performance: https://www.castsoftware.com/use-cases/Improve-adm-quality
This white paper presents a six-step Application Performance
Modeling Process using software intelligence to identify potential performance issues earlier in the development lifecycle. Enriching dynamic testing with structural quality analysis gives ADM teams insight into the performance behavior of applications by highlighting critical application performance issues, especially when combined with runtime
information.
By adding structural quality analysis, ADM teams learn important information about violations of architectural and programming best practices earlier in the development lifecycle than with a pure dynamic testing approach. Structural quality analysis as part of the performance modeling process allows for fact-based insight into application complexity (e.g. multiple layers, dynamics of their interactions, complexity of SQL, etc.) and allows ADM managers to anticipate evolution of the runtime context (e.g. growing volume of data, higher number of transactions, etc.). The combined approach results in better detection of latent application performance issues within software. Resolving application performance issues early in the development cycle, these alerts help to not only save money but also prevent complete business disruptions.
See more ways to improve application performance: https://www.castsoftware.com/use-cases/Improve-adm-quality
Pruebas de rendimiento de Microsoft Dynamics NAV WhitepaperCLARA CAMPROVIN
Este documento ofrece una guía de dimensionamiento de la infraestructura técnica necesaria, y explica cómo utilizar las pruebas de carga para optimizar Microsoft Dynamics NAV y el hardware para cumplir los requisitos del cliente y del sistema en general.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
2. Validation Validation is the process of assessing how well your mining models perform against real data. It is important that you validate your mining models by understanding their quality and characteristics before you deploy them into a production environment.
3. Performance Validation When applying a model to a real-world problem, one usually wants to rely on a statistically significant estimation of its performance. There are several ways to measure this performance by comparing predicted label and true label. This can of course only be done if the latter is known.
4. Performance Validation in RapidMiner The usual way to estimate performance is therefore, to split the labeled dataset into a training set and a test set, which can be used for performance estimation. The operators in this section realize different ways of evaluating the performance of a model and splitting the dataset into training and test set.
7. The two parts of the validation operator: Training and Testing
8. Visualization Visualization operators provide visualization techniques for data and other RapidMiner objects. Visualization is probably the most important tool for getting insight in your data and the nature of underlying patterns.
9. SOM plots Visualize model by SOM: Generates a SOM plot (transforming arbitrary number of dimensions to two) of the given data set and colorizes the landscape with the predictions of the given model. This class provides an operator for the visualization of arbitrary models with help of the dimensionality reduction via a SOM of both the data set and the given model.
