WARNINGBIRD: A NEAR REAL-TIME DETECTION SYSTEM FOR SUSPICIOUS URLS IN TWITTER...Augustin Jose
This document describes WarningBird, a near real-time system for detecting suspicious URLs in Twitter streams. It analyzes correlated redirection chains of URLs, where attackers often reuse the same redirection routes. When WarningBird observes over w tweets, it groups URLs with the same domains and identifies frequently shared URLs. It extracts 11 features from redirection chains and uses supervised learning to flag tweets containing URLs from suspended accounts as suspicious. Compared to prior work, WarningBird enables real-time detection without account information and is resistant to fabrication through correlated URL analysis.
O documento descreve as principais funcionalidades da plataforma Twitter, incluindo a área de login, seguir outras contas, número de seguidores, postar tweets limitados a 150 caracteres, ver o timeline com tweets próprios e das contas seguidas, número de tweets postados, mensagens diretas privadas, buscar por palavras-chave e perfis, sugestões de contas para seguir e os assuntos mais comentados no momento.
This document describes WarningBird, a system for detecting suspicious URLs in Twitter streams. It uses URL redirection chains and tweet context to extract 11 features for classifying URLs. WarningBird crawls URLs to obtain redirection chains, then performs domain grouping, feature extraction and logistic regression classification. It achieved low false positive and negative rates on real Twitter data. WarningBird can process URLs quickly and detect suspicious accounts faster than Twitter's own systems.
This document contains a list of Twitter followers and their follower counts. There are multiple entries with usernames and follower counts ranging from 10 to 71. The data is presented in an unstructured list without headers or organization.
SPAM refers to sending unwanted messages in large quantities to many recipients. There are several types of spam, including email spam, social networking spam, blog spam, SMS spam, forum spam, video sharing site spam, and online game messaging spam. Spam is commonly used to advertise dubious products, schemes, or services. To protect from spam, maintain separate public and private email addresses, do not respond to or unsubscribe from spam messages, use strong anti-spam software, update browsers and security patches, and avoid posting email addresses on suspicious websites.
The document provides 12 ways that using trending topics and hashtags on Twitter may not be effective for promoting a brand. These include adding no value to the trending topic, overtly advertising when the topic is no longer trending, using hashtags that are too long or unrelated to the business, hijacking other hashtags to promote the business, and failing to measure the results. The document recommends studying how to appropriately engage with trends and collecting data on performance to effectively use trends and hashtags for marketing on Twitter.
WARNINGBIRD: A NEAR REAL-TIME DETECTION SYSTEM FOR SUSPICIOUS URLS IN TWITTER...Augustin Jose
This document describes WarningBird, a near real-time system for detecting suspicious URLs in Twitter streams. It analyzes correlated redirection chains of URLs, where attackers often reuse the same redirection routes. When WarningBird observes over w tweets, it groups URLs with the same domains and identifies frequently shared URLs. It extracts 11 features from redirection chains and uses supervised learning to flag tweets containing URLs from suspended accounts as suspicious. Compared to prior work, WarningBird enables real-time detection without account information and is resistant to fabrication through correlated URL analysis.
O documento descreve as principais funcionalidades da plataforma Twitter, incluindo a área de login, seguir outras contas, número de seguidores, postar tweets limitados a 150 caracteres, ver o timeline com tweets próprios e das contas seguidas, número de tweets postados, mensagens diretas privadas, buscar por palavras-chave e perfis, sugestões de contas para seguir e os assuntos mais comentados no momento.
This document describes WarningBird, a system for detecting suspicious URLs in Twitter streams. It uses URL redirection chains and tweet context to extract 11 features for classifying URLs. WarningBird crawls URLs to obtain redirection chains, then performs domain grouping, feature extraction and logistic regression classification. It achieved low false positive and negative rates on real Twitter data. WarningBird can process URLs quickly and detect suspicious accounts faster than Twitter's own systems.
This document contains a list of Twitter followers and their follower counts. There are multiple entries with usernames and follower counts ranging from 10 to 71. The data is presented in an unstructured list without headers or organization.
SPAM refers to sending unwanted messages in large quantities to many recipients. There are several types of spam, including email spam, social networking spam, blog spam, SMS spam, forum spam, video sharing site spam, and online game messaging spam. Spam is commonly used to advertise dubious products, schemes, or services. To protect from spam, maintain separate public and private email addresses, do not respond to or unsubscribe from spam messages, use strong anti-spam software, update browsers and security patches, and avoid posting email addresses on suspicious websites.
The document provides 12 ways that using trending topics and hashtags on Twitter may not be effective for promoting a brand. These include adding no value to the trending topic, overtly advertising when the topic is no longer trending, using hashtags that are too long or unrelated to the business, hijacking other hashtags to promote the business, and failing to measure the results. The document recommends studying how to appropriately engage with trends and collecting data on performance to effectively use trends and hashtags for marketing on Twitter.
This document summarizes spamming and spam filtering techniques. It discusses how spamming works by sending unsolicited messages from individual email accounts or open relay servers. It then outlines various spam filtering methods like blacklist, whitelist, content-based filters that analyze words or use heuristics. The document implements a simple spam sending program and shows how gmail and outlook spam filters work. It concludes by discussing the effectiveness of different filtering approaches and references further reading on minimizing spam effects.
This document provides instructions for using various features of Yahoo Mail, including:
- Setting general preferences and adding a signature
- Managing drafts, sent messages, and folders
- Using auto-responds and sending email attachments
- Filtering mail and protecting against spam
- Importing and exporting contacts
- Switching to the Yahoo Mail beta version for additional features
The document discusses spam filtering techniques. It begins by defining spam and its purposes. It then discusses the problems caused by spam and some statistics about its prevalence and costs. The document outlines federal regulations regarding spam and how spammers harvest email addresses. It describes different types of spam filters and how Bayesian filtering uses probabilities to classify emails as spam or not spam. The document discusses how data mining can be used for spam filtering and concludes that while no technique is perfect, data mining approaches show promise.
Enhancing Twitter spam discovery using cross account pattern matching.Ambarish Pande
Studied and implemented an algorithm proposed in a research paper to discover spam accounts and spam tweets on twitter.
Technologies used:
1) JAVA
2) Twitter API
3) MySQL database
The document discusses spam filtering techniques. It defines spam as unsolicited bulk electronic messages, especially advertising. It describes different types of spam like email, comment, instant messaging, junk fax, and text messages. It then discusses current spam filtering works like Bayesian filtering models and other machine learning approaches. It proposes a collaborative intelligence approach to warn users of potential spam messages. Finally, it provides references on spam statistics and filtering techniques.
Negobot: A conversational agent based on game theory for the detection of pae...Carlos Laorden
Presentation at CISIS 2012 International conference of the paper: Negobot: A conversational agent based on game
theory for the detection of paedophile behaviour
Collective Classification for Spam Filtering - CISIS 2011Carlos Laorden
The document discusses spam email and various techniques for detecting and filtering spam messages. It begins with a Monty Python sketch about spam food and then discusses how spam costs billions in lost productivity by infecting computers and stealing credentials. It presents various anti-spam methods like pre-sending filtering, new protocols, and increasing spammers' costs. It evaluates supervised machine learning approaches and collective classification, which leverages relationships between documents to improve spam detection without requiring extensive labeling. Evaluation results show collective techniques outperform individual classification. The document concludes by discussing using these approaches to overcome unclassified spam and potentially reduce spam by 95% by disrupting spammers' payment systems.
On the Study of Anomaly-based Spam Filtering Using Spam as Representation of ...Carlos Laorden
Presentation at CCNC's - Research Student Workshop 2012 of the paper: On the Study of Anomaly-based Spam Filtering Using Spam as Representation of Normality
The document discusses anomaly detection approaches for identifying spam emails. It compares the performance of two spam detection tools, SpamAssassin and Ling Spam, using both Manhattan and Euclidean distance thresholds to classify emails as spam or not spam. Results show that SpamAssassin achieved the highest F-measure of 94.62% using minimum Manhattan distance, while Ling Spam achieved the highest F-measure of 92.20% using mean Euclidean distance. Anomaly detection approaches may help overcome the large volume of unclassified spam emails.
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!
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
This document summarizes spamming and spam filtering techniques. It discusses how spamming works by sending unsolicited messages from individual email accounts or open relay servers. It then outlines various spam filtering methods like blacklist, whitelist, content-based filters that analyze words or use heuristics. The document implements a simple spam sending program and shows how gmail and outlook spam filters work. It concludes by discussing the effectiveness of different filtering approaches and references further reading on minimizing spam effects.
This document provides instructions for using various features of Yahoo Mail, including:
- Setting general preferences and adding a signature
- Managing drafts, sent messages, and folders
- Using auto-responds and sending email attachments
- Filtering mail and protecting against spam
- Importing and exporting contacts
- Switching to the Yahoo Mail beta version for additional features
The document discusses spam filtering techniques. It begins by defining spam and its purposes. It then discusses the problems caused by spam and some statistics about its prevalence and costs. The document outlines federal regulations regarding spam and how spammers harvest email addresses. It describes different types of spam filters and how Bayesian filtering uses probabilities to classify emails as spam or not spam. The document discusses how data mining can be used for spam filtering and concludes that while no technique is perfect, data mining approaches show promise.
Enhancing Twitter spam discovery using cross account pattern matching.Ambarish Pande
Studied and implemented an algorithm proposed in a research paper to discover spam accounts and spam tweets on twitter.
Technologies used:
1) JAVA
2) Twitter API
3) MySQL database
The document discusses spam filtering techniques. It defines spam as unsolicited bulk electronic messages, especially advertising. It describes different types of spam like email, comment, instant messaging, junk fax, and text messages. It then discusses current spam filtering works like Bayesian filtering models and other machine learning approaches. It proposes a collaborative intelligence approach to warn users of potential spam messages. Finally, it provides references on spam statistics and filtering techniques.
Negobot: A conversational agent based on game theory for the detection of pae...Carlos Laorden
Presentation at CISIS 2012 International conference of the paper: Negobot: A conversational agent based on game
theory for the detection of paedophile behaviour
Collective Classification for Spam Filtering - CISIS 2011Carlos Laorden
The document discusses spam email and various techniques for detecting and filtering spam messages. It begins with a Monty Python sketch about spam food and then discusses how spam costs billions in lost productivity by infecting computers and stealing credentials. It presents various anti-spam methods like pre-sending filtering, new protocols, and increasing spammers' costs. It evaluates supervised machine learning approaches and collective classification, which leverages relationships between documents to improve spam detection without requiring extensive labeling. Evaluation results show collective techniques outperform individual classification. The document concludes by discussing using these approaches to overcome unclassified spam and potentially reduce spam by 95% by disrupting spammers' payment systems.
On the Study of Anomaly-based Spam Filtering Using Spam as Representation of ...Carlos Laorden
Presentation at CCNC's - Research Student Workshop 2012 of the paper: On the Study of Anomaly-based Spam Filtering Using Spam as Representation of Normality
The document discusses anomaly detection approaches for identifying spam emails. It compares the performance of two spam detection tools, SpamAssassin and Ling Spam, using both Manhattan and Euclidean distance thresholds to classify emails as spam or not spam. Results show that SpamAssassin achieved the highest F-measure of 94.62% using minimum Manhattan distance, while Ling Spam achieved the highest F-measure of 92.20% using mean Euclidean distance. Anomaly detection approaches may help overcome the large volume of unclassified spam emails.
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!
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
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.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
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.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
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!
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
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
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
41. A new and public dataset of twitter
spam to serve as evaluation
Adaptation of content-based
spam filtering to Twitter
A new compression-based text
filtering library for the ML tool WEKA
42. enhance this approach using social
network features
semantic capabilities by studying
the linguistic relationships