Intro To Online Marketing
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3 Basic tips to get started in low-risk, high-return online marketing. Excellent for organizations of all sizes!
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1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring lighthearted humor and strong language appropriate for older teenagers and adults.
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1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring lighthearted humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like period-appropriate clothing, music, camera shots, slang, and dates shown on video footage.
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1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
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1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring lighthearted humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like period-appropriate clothing, music, camera shots, slang, and dates shown on video footage.
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1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
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1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
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1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
Presentation1
1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
Presentation1
1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring lighthearted humor and strong language appropriate for older teenagers and adults.
3) Key elements that establish the 1980s setting include period-appropriate clothing, music, camera shots, language, and dates shown on video footage.
Presentation1
1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
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1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
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1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring lighthearted humor and strong language appropriate for older teenagers and adults.
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Presentation1
1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
Presentation1
1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
Presentation1
1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring lighthearted humor and strong language appropriate for older teenagers and adults.
3) Key elements that establish the 1980s setting include period-appropriate clothing, music, camera shots, language, and dates shown on video footage.
Presentation1
1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
Presentation1
1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
Presentation1
1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring lighthearted humor and strong language appropriate for older teenagers and adults.
3) Key elements that establish the 1980s setting include period-appropriate clothing, music, camera shots, language, and dates shown on video footage or mentioned by characters.
Presentation1
1) The film is set in 1980s England and follows two police officers, PC Rawles and Sergeant Rosenberg, as they try to solve a bank robbery case.
2) It is aimed at a target audience of 15+ males and females, featuring humor and strong language appropriate for older teenagers and adults.
3) The film establishes the 1980s setting through elements like clothing, music, camera shots, language, and dates shown on video footage.
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Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
Northern Engraving | Nameplate Manufacturing Process - 2024
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation Functions to Prevent Interaction with Malicious QR Codes.
Aim of the Study: The goal of this research was to develop a robust hybrid approach for identifying malicious and insecure URLs derived from QR codes, ensuring safe interactions.
This is achieved through:
Machine Learning Model: Predicts the likelihood of a URL being malicious.
Security Validation Functions: Ensures the derived URL has a valid certificate and proper URL format.
This innovative blend of technology aims to enhance cybersecurity measures and protect users from potential threats hidden within QR codes 🖥 🔒
This study was my first introduction to using ML which has shown me the immense potential of ML in creating more secure digital environments!
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
So… you want to become a Test Automation Engineer (or hire and develop one)? While there’s quite a bit of information available about important technical and tool skills to master, there’s not enough discussion around the path to becoming an effective Test Automation Engineer that knows how to add VALUE. In my experience this had led to a proliferation of engineers who are proficient with tools and building frameworks but have skill and knowledge gaps, especially in software testing, that reduce the value they deliver with test automation.
In this talk, Lee will share his lessons learned from over 30 years of working with, and mentoring, hundreds of Test Automation Engineers. Whether you’re looking to get started in test automation or just want to improve your trade, this talk will give you a solid foundation and roadmap for ensuring your test automation efforts continuously add value. This talk is equally valuable for both aspiring Test Automation Engineers and those managing them! All attendees will take away a set of key foundational knowledge and a high-level learning path for leveling up test automation skills and ensuring they add value to their organizations.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Dmitrii Kamaev, PhD
Senior Product Owner - QIAGEN
Getting the Most Out of ScyllaDB Monitoring: ShareChat's Tips
ScyllaDB monitoring provides a lot of useful information. But sometimes it’s not easy to find the root of the problem if something is wrong or even estimate the remaining capacity by the load on the cluster. This talk shares our team's practical tips on: 1) How to find the root of the problem by metrics if ScyllaDB is slow 2) How to interpret the load and plan capacity for the future 3) Compaction strategies and how to choose the right one 4) Important metrics which aren’t available in the default monitoring setup.
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Intro To Online Marketing
- 1. Low-Risk/High-Return Marketing Tactics
- 2. for today’s economy ...
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- 6. No website? You can get a website cheap! First idea...
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