This presentation shows you how to use SVM light and SVM multiclass to classify some feature vector, and how you make input file to classify with those tools in Information Retrieval and Data mining class as TA(2017.11.16).
Building an ML Platform with Ray and MLflowDatabricks
A successful machine learning platform allows ML practitioners to focus solely on their experiments and models and minimizes the time it takes to develop ML applications and take them to production. However, building an ML Platform is typically not an easy task due to the many different components involved in the process. In this talk, we will show how two open source projects, Ray (https://ray.io/) and MLflow (https://mlflow.org/), work together to make it easy for ML platform developers to add scaling and experiment management to their platform.
We will first provide an overview of Ray and its native libraries: Ray Tune (https://tune.io) for distributed hyperparameter tuning and Ray Serve (https://docs.ray.io/en/master/serve/index.html) for scalable model serving. Then we will showcase how MLflow provides a perfect solution for managing experiments through integrations with Ray for tracking and model deployment. Finally, we will finish with a demo of an ML platform built on Ray, MLflow, and other open source tools.
Flink Forward San Francisco 2019: TensorFlow Extended: An end-to-end machine ...Flink Forward
As machine learning evolves from experimentation to serving production workloads, so does the need to effectively manage the end-to-end training and production workflow including model management, versioning, and serving. TFX together with Apache Beam and Apache Flink unlocks new and exciting use cases. Clemens Mewald offers an overview of TensorFlow Extended (TFX), the end-to-end machine learning platform for TensorFlow that powers products across all of Alphabet. Many TFX components rely on the Beam SDK to define portable data processing workflows. This talk explores how Apache Flink runner for Apache Beam Python enables TFX pipelines for production ready machine learning workloads.
Building an ML Platform with Ray and MLflowDatabricks
A successful machine learning platform allows ML practitioners to focus solely on their experiments and models and minimizes the time it takes to develop ML applications and take them to production. However, building an ML Platform is typically not an easy task due to the many different components involved in the process. In this talk, we will show how two open source projects, Ray (https://ray.io/) and MLflow (https://mlflow.org/), work together to make it easy for ML platform developers to add scaling and experiment management to their platform.
We will first provide an overview of Ray and its native libraries: Ray Tune (https://tune.io) for distributed hyperparameter tuning and Ray Serve (https://docs.ray.io/en/master/serve/index.html) for scalable model serving. Then we will showcase how MLflow provides a perfect solution for managing experiments through integrations with Ray for tracking and model deployment. Finally, we will finish with a demo of an ML platform built on Ray, MLflow, and other open source tools.
Flink Forward San Francisco 2019: TensorFlow Extended: An end-to-end machine ...Flink Forward
As machine learning evolves from experimentation to serving production workloads, so does the need to effectively manage the end-to-end training and production workflow including model management, versioning, and serving. TFX together with Apache Beam and Apache Flink unlocks new and exciting use cases. Clemens Mewald offers an overview of TensorFlow Extended (TFX), the end-to-end machine learning platform for TensorFlow that powers products across all of Alphabet. Many TFX components rely on the Beam SDK to define portable data processing workflows. This talk explores how Apache Flink runner for Apache Beam Python enables TFX pipelines for production ready machine learning workloads.
Agile teams know that defects are a drag. Literally! The effort to fix defects bottlenecks the pipeline and busts the sprint. And when defects are reported in production, things really bog down. Looking for a better way?
Model-driven testing offers a systematic way to answer some important questions. Such as “Are my tests good enough?” And “How many tests do I need?” This presentation shows how to use open source model-driven testing tools to quickly create small but powerful test suites.
Python é uma das mais poderosas ferramentas de prototipação e analise de hipóteses. Mas o que muitos não sabem, é que também podemos ter produtos completos em produção totalmente baseados em Python. Ai vem a pergunta, como garantir a qualidade e eficiência do meu projeto em Python ???
Venha descobrir como aplicar e garantir a qualidade dos seus projetos através de testes eficientes, checagem de cobertura de código, analise estática, índice de mantenabilidade dentre outras técnicas.
Когда тестировать, что тестировать, как тестировать, Как ускорить тесты и упростить их написание. Отказываемся от классических фикстур в пользу динамически создаваемых моделей.
Data driven testing using Integrant & SpecLeon Mergen
Conventional wisdom tells you to keep your code DRY and your tests WET, but that only gets you so far. At Autheos, we rely heavily on an extensive test suite that was getting out of control. This talk will cover the concepts of data driven testing, and how we used Integrant & Spec for the implementation.
Agile teams know that defects are a drag. Literally! The effort to fix defects bottlenecks the pipeline and busts the sprint. And when defects are reported in production, things really bog down. Looking for a better way?
Model-driven testing offers a systematic way to answer some important questions. Such as “Are my tests good enough?” And “How many tests do I need?” This presentation shows how to use open source model-driven testing tools to quickly create small but powerful test suites.
Python é uma das mais poderosas ferramentas de prototipação e analise de hipóteses. Mas o que muitos não sabem, é que também podemos ter produtos completos em produção totalmente baseados em Python. Ai vem a pergunta, como garantir a qualidade e eficiência do meu projeto em Python ???
Venha descobrir como aplicar e garantir a qualidade dos seus projetos através de testes eficientes, checagem de cobertura de código, analise estática, índice de mantenabilidade dentre outras técnicas.
Когда тестировать, что тестировать, как тестировать, Как ускорить тесты и упростить их написание. Отказываемся от классических фикстур в пользу динамически создаваемых моделей.
Data driven testing using Integrant & SpecLeon Mergen
Conventional wisdom tells you to keep your code DRY and your tests WET, but that only gets you so far. At Autheos, we rely heavily on an extensive test suite that was getting out of control. This talk will cover the concepts of data driven testing, and how we used Integrant & Spec for the implementation.
Similar to SVM light and SVM Multiclass Practice (20)
(Paper Seminar detailed version) BART: Denoising Sequence-to-Sequence Pre-tra...hyunyoung Lee
(Detailed version) Paper seminar in NLP lab on "BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension"(2021.03.04)
(Paper Seminar short version) BART: Denoising Sequence-to-Sequence Pre-traini...hyunyoung Lee
(Short version) Paper seminar in NLP lab on "BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension"(2021.03.04)
Paper seminar of Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs in 2019 fall semester in Advanced Information Security class(2019.10.24).
Word embedding method of sms messages for spam message filteringhyunyoung Lee
This is presentation of 2019 the 6th IEEE International Conference on Big data and Smart Computing(ASC(the 3rd International Workshop on Affective and Sentimental Computing) of IEEE BigComp 2019), Feb. 2019. (2019. 02. 27)
Natural language processing open seminar For Tensorflow usagehyunyoung Lee
This is presentation for Natural Language Processing open seminar in Kookmin University.
The open seminar reference : https://cafe.naver.com/nlpk
My presentation about how to use tensorflow for NLP open seminar for newbies for tensorflow.
large-scale and language-oblivious code authorship identificationhyunyoung Lee
Paper seminar of Large-Scale and Language-Oblivious Code Authorship Identification in 2018 2 semester in Advanced Topics in Computer Science class(2018.11.06).
This is presentation to inform how to use NLTK(Natural Language Processing Toolkit) with NLTK book's simple examples in Information Retrieval and Data mining class as TA(2017.11.28).
This is presentation about what skip-gram and CBOW is in seminar of Natural Language Processing Labs.
- how to make vector of words using skip-gram & CBOW.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
#AIFusionBuddyUserExperience
#AIFusionBuddyforBeginners,
#AIFusionBuddyBenefits,
#AIFusionBuddyComparison,
#AIFusionBuddyInstallation,
#AIFusionBuddyRefundPolicy,
#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
6. • svm_learn.exe [options] example_file model_file
• svm_classify.exe [options] example_file model_file output_file
Example_file : data file if train -> train.dat
or if test -> test.dat
Model_file : The generated model(“model” which is the name of file in here)
Output_file : The generated prediction(“prediction” which is the name of file in here)
7. svm_learn.exe example1/train.dat example1/traininig_model
svm_classify.exe example1/test.dat example1/training_model example1/prediction
gunzip -c file_name.tar.gz | tar xvf - OR tar –zxvf file_name.tar.gz
./svm_learn example1/train.dat example1/model
./svm_classify example1/test.dat example1/model example1/prediction
12. • svm_multiclass_learn [options(-c 5000)] example_file model_file
• svm_multiclass_classify [options] example_file model_file output_file
Example_file : data file if train -> train.dat
or if test -> test.dat
Model_file : The generated model(“model” which is the name of file in here)
Output_file : The generated prediction(“prediction” which is the name of file in here)
13. svm_multiclass_learn.exe -c 5000 example4/train.dat example4/traininig_model
svm_multiclass_classify.exe example4/test.dat example4/training_model example4/prediction
gunzip -c file_name.tar.gz | tar xvf - OR tar –zxvf file_name.tar.gz
./svm_multiclass_learn -c 5000 example4/train.dat example4/traininig_model
./svm_multiclass_classify example4/test.dat example4/training_model example4/prediction