[213] Fashion Visual Search

Data Pipeline Data Lake

주니어 기획자를 위한 데이터분석 입문. 서비스를 운영하면서 쌓이는 User Data를 바탕으로, 서비스를 개선해 나가는 과정을 이야기합니다.

2013.06.29 HeXA Reverse Engineering project KakaoTalk PoC : https://github.com/carpedm20/kakaotalk LINE PoC : https://github.com/carpedm20/LINE

우리 회사는 데이터를 볼 필요가 있을까? 봐야 한다면 어떻게 해야 할까? 스타트업이든, 큰 기업이든 데이터가 왜 필요하며, 어떤 기법들로 분석해 나갈 수 있는지 설명합니다. 퍼널, A/B 테스트, 코호트 분석등에 대해 쉽게 설명합니다.

서비스 런칭을 위해 라이온하트와 카카오게임즈가 어떻게 최적 성능의 인스턴스를 선택하고, Windows 운영 체제를 최적화하며, 왜 Amazon Aurora를 기본 데이터베이스로 채택하였는지를 설명합니다. 또한, 출시부터 운영까지의 과정에서 MMORPG가 어떻게 AWS 상에서 설계되고, 게임 서버 성능을 극대할 수 있었는지에 대해 전달해드립니다.

http://ga.yonghosee.com 에서 진행하는 구글 어날리틱스(google analytics) 에 대한 강의 슬라이드 입니다. 이 슬라이드는 샘플이지만, 초반부는 실재 강의 교재 그대로 입니다. 이것 자체로도 여러분이 GA를 이해하는데 좀 도움이 된다면 기쁘겠습니다^^ 감사합니다.

AWSKRUG Winter Meetup 김명보 / VCNC

NDC 2017 발표 슬라이드 시연 영상 링크: https://youtu.be/e9Tv3jkmqKk 게임 내 정보를 추가 구현이나 패치 없이 실시간으로 수집할 수 있다면 어떨까요? 이런 아이디어를 실제로 가능하게 구현한 NEXON ZERO 발표 슬라이드 입니다.

elastic, resiliency, sharding, service discovery

2016 한양대학교 컴퓨터공학과 오픈소스동아리(오소리) 웹크롤링 프로젝트 기획서

ESNextってなんぞ？を解説するために作った資料です。

Write The Docs 서울의 2019 첫 번째 밋업에서 발표한 글쓰는 개발자 모임, 글또 발표 자료입니다 :)

How to become better engineer

리텐션의 산출과 활용 제 2탄입니다.

넥슨코리아 사내 발표자료로 왓 스튜디오에서 파이썬으로 《야생의 땅: 듀랑고》 서버를 비롯한 여러가지 도구를 만든 경험을 공유합니다. - 게임서버와 각종 툴, 테스트/빌드/배포 시스템을 만들 때 사용한 재료 - 파이썬 코드 품질 개선, 디버깅, 프로파일링, 최적화 - 파이썬 오픈소스 생태계와 왓 스튜디오가 하는 오픈소스 활동

Data Engineering 101

Gonnector(고넥터) 고영혁 대표가 주최한 스타트업 데이터 활용 세미나 '우리가 데이터를 쓰는 법' 의 첫 번째 발표 자료 세미나 : 우리가 데이터를 쓰는 법 (How We Use Data) 일시 : 2016년 4월 12일 화요일 10:00 ~ 18:00 장소 : 마루180 (Maru180) B1 Think 홀 제목 : 좋다는 건 알겠는데 좀 써보고 싶소. 데이터! 연사 : 넘버웍스 하용호 대표

The document provides an equation for calculating the sum of the first n positive integers. It defines n as the sum of integer terms n1 + n2 + ... + nl and gives the example of n1 + n2 + ... + nl = 1.

This document contains random characters and does not provide any coherent information that can be summarized in 3 sentences or less.

The document provides formulas for calculating the sample mean and sample standard deviation. The sample mean (equation 17.2) is calculated as the sum of all data points divided by the number of data points. The sample standard deviation (equation 17.3) is calculated as the square root of the average of the squared deviations of each data point from the sample mean.

We propose a microphysical theory of the triboelectric effect by which mechanical rubbing separates charges across the interface between two materials. Surface electrons are treated as an open system coupled to two baths, corresponding to the bulks. Extending Zel'dovich's theory of bosonic superradiance, we show that motion-induced population inversion can generate an electromotive force. We argue that this is consistent with the basic phenomenology of triboelectrification as an irreversible process, and we suggest how to carry out more price experimental tests. This work has been published as: R. Alicki and A. Jenkins, Phys. Rev. Lett. 125, 186101 (2020).

This document provides documentation on Ring programming language classes and methods, including List, Stack, Queue, HashTable, Tree, Math, and DateTime classes. It describes the purpose and usage of each class and its methods, and provides examples of how to use the classes and methods.

The document discusses statistics from various regions in Mongolia related to population, health, economy and more. Some key points: - The population of Ulaanbaatar in 2016 was over 1 million people, with 52.6% living in ger districts. - Life expectancy is 73.3 years for men and 79.6 years for women on average nationwide. The infant mortality rate is 19.5 per 1000 births. - The unemployment rate was 11.9% in 2016, with the majority of unemployed individuals between the ages of 15-29 years old. - Mining makes up a significant portion of Mongolia's economy. Coal and copper are among the most important minerals mined.

The document appears to contain statistical data from various regions and sources in Mongolia. Some key details include: - Data from 2016 shows the population of Mongolia was 3.1 million people, with 71.3% living in urban areas and 28.7% in rural areas. - The capital city of Ulaanbaatar had a population of over 1.2 million, accounting for 52.3% of the total national population. - Statistical analyses were provided on topics such as employment rates, energy consumption, health indicators and more, with data shown for multiple provinces.

The built-in JavaScript Math library is used in virtually every Node.js application, from generating random ids to calculating exponential back-off times to computing basic performance metrics. When using the Math library, most developers simply assume that the underlying implementations are accurate, performant, and correctly implemented. In this presentation, Athan Reines will discuss why this assumption is often false and show the various ways in which the standard library is broken. The presentation will present the algorithms used, their performance and accuracy, and how they have downstream effects on users of these libraries. The presentation will conclude by highlighting how community solutions are stepping up to fix these problems and identity opportunities for additional improvements.

This document summarizes statistics on social and economic indicators in Mongolia for 2013 and 2014. It includes data on: - Population numbers that increased from 3.349 million in 2013 to 3.363 million in 2014. - GDP that grew from $11.5 billion in 2013 to $12.1 billion in 2014, averaging a 6.4% growth rate. - Unemployment rates that declined slightly from 4.2% in 2013 to 4.1% in 2014.

This document discusses molecular dynamics (MD) simulations. It provides equations for modeling interactions in MD, such as bonds, angles, torsions, and nonbonded interactions. It describes algorithms like Verlet integration that are used to solve the equations of motion in MD. It also discusses ensembles like NVE, NVT, and NPT that are commonly used, and methods like Langevin dynamics and barostats that are applied to control temperature and pressure.

This document contains mathematical formulas and properties related to: - Arithmetic and geometric sequences - Trigonometric functions and their properties - Logarithmic and exponential functions - Derivatives of functions - Integrals and properties of integrals - Trigonometric identities

The document describes the website of Professor Takigawa from Hokkaido University. The website provides information about the professor's research interests and activities in the field of artificial intelligence and robotics. It contains links to publications, projects, and contact details.

This document provides documentation on Ring programming language classes and methods. It summarizes key data structures like List, Stack, Queue, HashTable and Tree. It also covers numeric and date/time utility classes like Math and DateTime. Example code is provided to demonstrate the usage of each class and method.

This document appears to be a PDF file containing encrypted or corrupted content. It references singing tips and includes a URL, but most of the file contents are gibberish or unintelligible text strings.

This document provides information about physics concepts and calculus formulas taught by a physics lecturer at the Royal University of Phnom Penh. It contains 3 sections: 1. Derivatives - Defines various derivatives and their formulas up to order n. 2. Integrals - Covers integration techniques like integration by parts, trigonometric integrals, and improper integrals. 3. Differential Equations - Discusses first order differential equations, second order differential equations, and their applications to dynamics.

This document provides statistics on various health indicators in Mongolia for 2013 and 2014: - The life expectancy in Mongolia was 70.9 years for males and 76.5 years for females in 2014. - The infant mortality rate decreased from 32.7 per 100,000 live births in 2013 to 28.1 in 2014. - The number of doctors increased from 1089 in 2013 to 1195 in 2014.

The document discusses property-based testing with ScalaCheck. It introduces property-based testing and provides examples of using ScalaCheck to define generators, test properties universally, and generate test cases. Key points include: limitations of traditional testing techniques, a first example of property-based testing with ScalaCheck to test the max function, defining inputs using generators, generating test cases, introducing algebraic data types and generating lists/collections of values.

This document appears to contain statistical data in tables regarding various economic indicators in an unspecified region over multiple years. It includes data on GDP, industrial production, agriculture, construction, wages and more. However, the document is lacking context and is difficult to understand due to being entirely in numerical format without labels or explanations.

- The code defines a class called PrintLoops that inherits from IRVisitor. It overrides the visit method to print the name of any For nodes visited. - A print_loops function takes a statement and uses a PrintLoops visitor to print the name of all for loops in the statement.

This document provides statistics on traffic accidents and vehicle ownership in Uzbekistan for January 2017. Some key points: - There were 226 traffic accidents reported, resulting in 192 deaths. The number of registered vehicles increased to 6275. - Most accidents occurred in Tashkent (227, resulting in 193 deaths) and Surkhandarya (121, resulting in 94 deaths). - The majority of accidents (66.6%) involved privately-owned cars, with most other accidents involving public transport. - Motorcycle ownership increased to 244 thousand, with most motorcycles (90.6%) being older than 3 years old. - The number of registered ambulances increased to 37510

The document discusses various machine learning clustering algorithms like K-means clustering, DBSCAN, and EM clustering. It also discusses neural network architectures like LSTM, bi-LSTM, and convolutional neural networks. Finally, it presents results from evaluating different chatbot models on various metrics like validation score.

[233] 대형 컨테이너 클러스터에서의 고가용성 Network Load Balancing: Maglev Hashing Scheduler in IPVS, Linux Kernel

[215] Druid로 쉽고 빠르게 데이터 분석하기

[245]Papago Internals: 모델분석과 응용기술 개발

[236] 스트림 저장소 최적화 이야기: 아파치 드루이드로부터 얻은 교훈

[235]Wikipedia-scale Q&A

The document discusses challenges with using reinforcement learning for robotics. While simulations allow fast training of agents, there is often a "reality gap" when transferring learning to real robots. Other approaches like imitation learning and self-supervised learning can be safer alternatives that don't require trial-and-error. To better apply reinforcement learning, robots may need model-based approaches that learn forward models of the world, as well as techniques like active localization that allow robots to gather targeted information through interactive perception. Closing the reality gap will require finding ways to better match simulations to reality or allow robots to learn from real-world experiences.

This document describes research on using deep learning to predict student performance in massive open online courses (MOOCs). It introduces GritNet, a model that takes raw student activity data as input and predicts outcomes like course graduation without feature engineering. GritNet outperforms baselines by more than 5% in predicting graduation. The document also describes how GritNet can be adapted in an unsupervised way to new courses using pseudo-labels, improving predictions in the first few weeks. Overall, GritNet is presented as the state-of-the-art for student prediction and can be transferred across courses without labels.

This document provides a summary of new datasets and papers related to computer vision tasks including object detection, image matting, person pose estimation, pedestrian detection, and person instance segmentation. A total of 8 papers and their associated datasets are listed with brief descriptions of the core contributions or techniques developed in each.

그림이 정상 출력되는 다음 링크의 자료를 확인해 주세요. https://www.slideshare.net/deview/233-network-load-balancing-maglev-hashing-scheduler-in-ipvs-linux-kernel

This document presents a formula for calculating the loss function J(θ) in machine learning models. The formula averages the negative log likelihood of the predicted probabilities being correct over all samples S, and includes a regularization term λ that penalizes predicted embeddings being dissimilar from actual embeddings. It also defines the cosine similarity term used in the regularization.

[225]NSML: 머신러닝 플랫폼 서비스하기 & 모델 튜닝 자동화하기

[224]네이버 검색과 개인화

[216]Search Reliability Engineering (부제: 지진에도 흔들리지 않는 네이버 검색시스템)

The document discusses running a TensorFlow Serving (TFS) container using Docker. It shows commands to: 1. Pull the TFS Docker image from a repository 2. Define a script to configure and run the TFS container, specifying the model path, name, and port mapping 3. Run the script to start the TFS container exposing port 13377

This document describes the steps to convert a TensorFlow model to a TensorRT engine for inference. It includes steps to parse the model, optimize it, generate a runtime engine, serialize and deserialize the engine, as well as perform inference using the engine. It also provides code snippets for a PReLU plugin implementation in C++.

[242]컴퓨터 비전을 이용한 실내 지도 자동 업데이트 방법: 딥러닝을 통한 POI 변화 탐지

[212]C3, 데이터 처리에서 서빙까지 가능한 하둡 클러스터

The document discusses machine reading comprehension (MRC) techniques for question answering (QA) systems, comparing search-based and natural language processing (NLP)-based approaches. It covers key milestones in the development of extractive QA models using NLP, from early sentence-level models to current state-of-the-art techniques like cross-attention, self-attention, and transfer learning. It notes the speed and scalability benefits of combining search and reading methods for QA.

Clova 화자인식

This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization. Key Takeaways: * Understand why connection pooling is essential for high-traffic applications * Explore various connection poolers available for PostgreSQL, including pgbouncer * Learn the configuration options and functionalities of pgbouncer * Discover best practices for monitoring and troubleshooting connection pooling setups * Gain insights into real-world use cases and considerations for production environments This presentation is ideal for: * Database administrators (DBAs) * Developers working with PostgreSQL * DevOps engineers * Anyone interested in optimizing PostgreSQL performance Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services

Java Servlet programs

Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.

Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality. Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality. Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality. Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank? ** Episode Overview ** In this first episode of our quality series, Kristen Hansen and the panel discuss: ⦿ What do we mean when we say patent quality? ⦿ Why is patent quality important? ⦿ How to balance quality and budget ⦿ The importance of searching, continuations, and draftsperson domain expertise ⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications https://www.aurorapatents.com/patently-strategic-podcast.html

Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).

As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models. This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. We’ll walk through: - Standard ways of running dbt (and when to utilize other methods) - How Cosmos can be used to run and visualize your dbt projects in Airflow - Common challenges and how to address them, including performance, dependency conflicts, and more - How running dbt projects in Airflow helps with cost optimization Webinar given on 9 July 2024

Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023 https://arxiv.org/abs/2307.12980

If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights. During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to: - Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value - Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems - Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors - Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported - Look Ahead: Gain insights into where FME is headed with coordinate systems in the future Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!

YOUR RELIABLE WEB DESIGN & DEVELOPMENT TEAM — FOR LASTING SUCCESS WPRiders is a web development company specialized in WordPress and WooCommerce websites and plugins for customers around the world. The company is headquartered in Bucharest, Romania, but our team members are located all over the world. Our customers are primarily from the US and Western Europe, but we have clients from Australia, Canada and other areas as well. Some facts about WPRiders and why we are one of the best firms around: More than 700 five-star reviews! You can check them here. 1500 WordPress projects delivered. We respond 80% faster than other firms! Data provided by Freshdesk. We’ve been in business since 2015. We are located in 7 countries and have 22 team members. With so many projects delivered, our team knows what works and what doesn’t when it comes to WordPress and WooCommerce. Our team members are: - highly experienced developers (employees & contractors with 5 -10+ years of experience), - great designers with an eye for UX/UI with 10+ years of experience - project managers with development background who speak both tech and non-tech - QA specialists - Conversion Rate Optimisation - CRO experts They are all working together to provide you with the best possible service. We are passionate about WordPress, and we love creating custom solutions that help our clients achieve their goals. At WPRiders, we are committed to building long-term relationships with our clients. We believe in accountability, in doing the right thing, as well as in transparency and open communication. You can read more about WPRiders on the About us page.

Our Linux Web Hosting plans offer unbeatable performance, security, and scalability, ensuring your website runs smoothly and efficiently. Visit- https://onliveserver.com/linux-web-hosting/

Profile portofolio

The integration of programming into civil engineering is transforming the industry. We can design complex infrastructure projects and analyse large datasets. Imagine revolutionizing the way we build our cities and infrastructure, all by the power of coding. Programming skills are no longer just a bonus—they’re a game changer in this era. Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.

We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner! We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too! Check out our proposed agenda below 👇👇 08:30 ☕ Welcome coffee (30') 09:00 Opening note/ Intro to UiPath Community (10') Cristina Vidu, Global Manager, Marketing Community @UiPath Dawid Kot, Digital Transformation Lead @Proservartner 09:10 Cloud migration - Proservartner & DOVISTA case study (30') Marcin Drozdowski, Automation CoE Manager @DOVISTA Pawel Kamiński, RPA developer @DOVISTA Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner 09:40 From bottlenecks to breakthroughs: Citizen Development in action (25') Pawel Poplawski, Director, Improvement and Automation @McCormick & Company Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company 10:05 Next-level bots: API integration in UiPath Studio (30') Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner 10:35 ☕ Coffee Break (15') 10:50 Document Understanding with my RPA Companion (45') Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath 11:35 Power up your Robots: GenAI and GPT in REFramework (45') Krzysztof Karaszewski, Global RPA Product Manager 12:20 🍕 Lunch Break (1hr) 13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30') Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance 13:50 Communications Mining - focus on AI capabilities (30') Thomasz Wierzbicki, Business Analyst @Office Samurai 14:20 Polish MVP panel: Insights on MVP award achievements and career profiling

Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data. The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs. Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution! Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.

How do we build an IoT product, and make it profitable? Talk from the IoT meetup in March 2024. https://www.meetup.com/iot-sweden/events/299487375/

Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment. How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.

Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk. What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year? Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year. This webinar will review: - Key changes to privacy regulations in 2024 - Key themes in privacy and data governance in 2024 - How to maximize your privacy program in the second half of 2024

CIO Council Cal Poly Humboldt September 22, 2023

Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.

accommodate the strengths, weaknesses, threats and opportunities of autonomous vehicles