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Activities & events
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PyData Warsaw #27
2025-03-26 · 17:00
18:00 - Paweł Ekk-Cierniakowski, SoftwareOne - "Machine learning based video processing" About topic: During my lecture, I will delve into the comprehensive 2-year journey of our project for the media house, which began with the transcription of videos and the detection of background sounds. This initiative aims to enhance content accessibility for individuals with disabilities. My presentation will cover the entire process, from the initial Proof-of-Concept stage, through the development of a Minimum Viable Product (MVP), and finally to the deployment in a production environment. I will discuss various strategies to improve the quality of transcriptions and increase the accuracy of background sound detection. Additionally, I will highlight the integration of advanced features based on Azure services. These features include the creation of concise video summaries, automatic translations, and dubbing. My goal is to showcase how these enhancements contribute to making content more accessible and user-friendly. About speaker: For over 10 years he has been professionally involved in data analytics as a data scientist, team leader and project manager. He has participated in many projects in the area of advanced data analytics, such as monitoring production lines, opinion analysis, fraud detection and price forecasting. His main experience and interests are in the pharmaceutical and healthcare industries, but he has been involved in projects in various areas such as finance, media, energy and agriculture. Currently, he is responsible for designing and implementing data solutions, mainly in the field of machine learning and artificial intelligence. He shares his knowledge as a data science trainer, lecturer and speaker at conferences. Co-author of scientific papers, mainly in the field of medicine and statistics, published e.g. in journals from the Master Journal List. 18:45 - Misha Zanka, Parsera - "How LLMs Can Transform the Landscape of Web Scraping?" About topic: Web data extraction is often more painful than it seems — CSS selectors, shifting page structures, and endless debugging make even simple tasks frustrating. But what if you never had to touch code again? LLMs, with their ability to retrieve text and generate code, are redefining how we extract data from the web. They can handle complex extraction tasks, being agnostic to variety of websites, while web scraping provides the perfect closed-loop problem for leveraging LLMs code generation capabilities. About speaker: Misha Zanka is a startup founder with a strong technical background in ML and AI. He began his career in ML research at places like the University of Warsaw, Cisco and Allegro before transitioning to startups, where he now focuses on automating web scraping with LLMs. This time we'll have free pizza for you after the event! Brought to you by On The Spot! About sponsor: They are building R&D teams for tech companies in Poland, and currently have open positions that sound like a good fit for the community: 3 Data Engineers, Sr. React & Sr. .NET Engineer with experience in AI (or at least a strong opinion on it) Venue: Centrum Innowacji Politechniki Warszawskiej, ul. Rektorska 4 Room 3.12 (3rd Floor) |
PyData Warsaw #27
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Building The API Platform For Platform Builders: Where Kong Goes Next
2025-01-28 · 16:00
Kong quarterly platform updates and roadmap preview. How are the world’s most disruptive businesses leveraging APIs to innovate and grow faster, more securely, and more efficiently? It all starts with your API Platform. And the R&D team at Kong is busy building it. Join Kong Product leaders, Reza Shafii and Alex Drag , to see some of our most recent platform updates, learn about what’s coming, and help shape the future of the Kong API Platform. We’ll cover everything from the latest in API and AI governance, how you’ll be able to use Kong to stand up RAG pipelines and enable agentic workflows, and why the future looks like unified governance of APIs, events, and AI. Some highlights include: Join our experts to learn more about:
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Building The API Platform For Platform Builders: Where Kong Goes Next
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Building The API Platform For Platform Builders: Where Kong Goes Next
2025-01-28 · 16:00
Kong quarterly platform updates and roadmap preview. How are the world’s most disruptive businesses leveraging APIs to innovate and grow faster, more securely, and more efficiently? It all starts with your API Platform. And the R&D team at Kong is busy building it. Join Kong Product leaders, Reza Shafii and Alex Drag , to see some of our most recent platform updates, learn about what’s coming, and help shape the future of the Kong API Platform. We’ll cover everything from the latest in API and AI governance, how you’ll be able to use Kong to stand up RAG pipelines and enable agentic workflows, and why the future looks like unified governance of APIs, events, and AI. Some highlights include: Join our experts to learn more about:
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Building The API Platform For Platform Builders: Where Kong Goes Next
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Building The API Platform For Platform Builders: Where Kong Goes Next
2025-01-28 · 16:00
Kong quarterly platform updates and roadmap preview. How are the world’s most disruptive businesses leveraging APIs to innovate and grow faster, more securely, and more efficiently? It all starts with your API Platform. And the R&D team at Kong is busy building it. Join Kong Product leaders, Reza Shafii and Alex Drag , to see some of our most recent platform updates, learn about what’s coming, and help shape the future of the Kong API Platform. We’ll cover everything from the latest in API and AI governance, how you’ll be able to use Kong to stand up RAG pipelines and enable agentic workflows, and why the future looks like unified governance of APIs, events, and AI. Some highlights include: Join our experts to learn more about:
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Building The API Platform For Platform Builders: Where Kong Goes Next
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Building The API Platform For Platform Builders: Where Kong Goes Next
2025-01-28 · 16:00
Kong quarterly platform updates and roadmap preview. How are the world’s most disruptive businesses leveraging APIs to innovate and grow faster, more securely, and more efficiently? It all starts with your API Platform. And the R&D team at Kong is busy building it. Join Kong Product leaders, Reza Shafii and Alex Drag , to see some of our most recent platform updates, learn about what’s coming, and help shape the future of the Kong API Platform. We’ll cover everything from the latest in API and AI governance, how you’ll be able to use Kong to stand up RAG pipelines and enable agentic workflows, and why the future looks like unified governance of APIs, events, and AI. Some highlights include: Join our experts to learn more about:
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Building The API Platform For Platform Builders: Where Kong Goes Next
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Debugging in R
2024-02-20 · 17:15
Join R-Ladies Rome for an empowering Interactive Workshop: Debugging in R exclusively designed for women in technology. In this workshop, we will dive deep into various topics including code troubleshooting tips, essential debugging functions (traceback(), browser(), debug(), trace(), and recover()), and gain insights into effective debugging strategies. Our expert speaker Shannon Pileggi will share pivotal insights, best practices, and tips to degbug code in R. Whether you are a beginner or an experienced professional, this event is the perfect opportunity for networking and learning from fellow women in the industry. Join us on February 20th at 6:15 PM CET for an exciting and interactive session where you can expand your knowledge, connect with like-minded individuals, and explore the latest trends in web technology. This workshop is specifically curated to provide a conducive environment for women in technology to enhance their skills and discuss the challenges and opportunities they face in this male-dominated industry. Format: This hands-on workshop will be hosted on Posit (RStudio) Cloud, a special RStudio instance accessible through your browser. Registered participants will receive details on accessing Posit Cloud closer to the event. Agenda: We'll kick off with a warm welcome on Zoom, provide an opportunity to ensure everyone is set up to dive into the exciting world of debugging. Stay tuned for more updates! Don't miss out on this unique opportunity to be a part of an inclusive community that empowers women in technology. Together, let's accelerate our growth and make a difference in the tech world! |
Debugging in R
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R in Action, Third Edition
2022-05-29
Robert I. Kabacoff
– author
R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve with practical solutions and real-world applications for commercial environments. In R in Action, Third Edition you will learn how to: Set up and install R and RStudio Clean, manage, and analyze data with R Use the ggplot2 package for graphs and visualizations Solve data management problems using R functions Fit and interpret regression models Test hypotheses and estimate confidence Simplify complex multivariate data with principal components and exploratory factor analysis Make predictions using time series forecasting Create dynamic reports and stunning visualizations Techniques for debugging programs and creating packages R in Action, Third Edition makes learning R quick and easy. That’s why thousands of data scientists have chosen this guide to help them master the powerful language. Far from being a dry academic tome, every example you’ll encounter in this book is relevant to scientific and business developers, and helps you solve common data challenges. R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualizations. This revised and expanded third edition contains fresh coverage of the new tidyverse approach to data analysis and R’s state-of-the-art graphing capabilities with the ggplot2 package. About the Technology Used daily by data scientists, researchers, and quants of all types, R is the gold standard for statistical data analysis. This free and open source language includes packages for everything from advanced data visualization to deep learning. Instantly comfortable for mathematically minded users, R easily handles practical problems without forcing you to think like a software engineer. About the Book R in Action, Third Edition teaches you how to do statistical analysis and data visualization using R and its popular tidyverse packages. In it, you’ll investigate real-world data challenges, including forecasting, data mining, and dynamic report writing. This revised third edition adds new coverage for graphing with ggplot2, along with examples for machine learning topics like clustering, classification, and time series analysis. What's Inside Clean, manage, and analyze data Use the ggplot2 package for graphs and visualizations Techniques for debugging programs and creating packages A complete learning resource for R and tidyverse About the Reader Requires basic math and statistics. No prior experience with R needed. About the Author Dr. Robert I Kabacoff is a professor of quantitative analytics at Wesleyan University and a seasoned data scientist with more than 20 years of experience. Quotes Kabacoff has outdone himself by significantly improving on the already excellent previous edition. - Alain Lompo, ISO-Gruppe R in Action has been my go-to reference on R for years. The third edition contains timely updates on the tidyverse and other new tools. I would recommend this book without hesitation. - Daniel Kenney-Jung MD, Department of Pediatrics, Duke University Outstandingly well-written. The best book on R programming that I have ever read. - Kelvin Meeks, International Technology Ventures Takes the reader through a series of essential methods from basic to complex. The only R book you will ever need. - Martin Perry, Microsoft |
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Matthew Campbell
– author
Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and web-based interactive visualizations with Shiny. In addition, you will cover common data analysis tasks including importing data from diverse sources such as SAS files, CSV files, and JSON. You will map out the features in RStudio so that you will be able to customize RStudio to fit your own style of coding. Finally, you will see how to save a ton of time by adopting best practices and using packages to extend RStudio. Learn RStudio IDE is a quick, no-nonsense tutorial of RStudio that will give you a head start to develop the insights you need in your data science projects. What YouWill Learn Quickly, effectively, and productively use RStudio IDE for building data science applications Install RStudio and program your first Hello World application Adopt the RStudio workflow Make your code reusable using RStudio Use RStudio and Shiny for data visualization projects Debug your code with RStudio Import CSV, SPSS, SAS, JSON, and other data Who This Book Is For Programmers who want to start doing data science, but don’t know what tools to focus on to get up to speed quickly. |
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#59 Data Science R&D at TD Ameritrade
2019-04-01 · 06:00
This week, Hugo speaks with Sean Law about data science research and development at TD Ameritrade. Sean’s work on the Exploration team uses cutting edge theories and tools to build proofs of concept. At TD Ameritrade they think about a wide array of questions from conversational agents that can help customers quickly get to information that they need and going beyond chatbots. They use modern time series analysis and more advanced techniques like recurrent neural networks to predict the next time a customer might call and what they might be calling about, as well as helping investors leverage alternative data sets and make more informed decisions. What does this proof of concept work on the edge of data science look like at TD Ameritrade and how does it differ from building prototypes and products? And How does exploration differ from production? Stick around to find out. LINKS FROM THE SHOW DATAFRAMED GUEST SUGGESTIONS DataFramed Guest Suggestions (who do you want to hear on DataFramed?) FROM THE INTERVIEW Sean on TwitterSean's WebsiteTD Ameritrade Careers PagePyData Ann Arbor MeetupPyData Ann Arbor YouTube Channel (Videos)TDA Github Account (Time Series Pattern Matching repo to be open sourced in the coming months)Aura Shows Human Fingerprint on Global Air Quality FROM THE SEGMENTS Guidelines for A/B Testing (with Emily Robinson ~19:20) Guidelines for A/B Testing (By Emily Robinson)10 Guidelines for A/B Testing Slides (By Emily Robinson) Data Science Best Practices (with Ben Skrainka ~34:50) Debugging (By David J. Agans)Basic Debugging With GDB (By Ben Skrainka)Sneaky Bugs and How to Find Them (with git bisect) (By Wiktor Czajkowski)Good logging practice in Python (By Victor Lin) Original music and sounds by The Sticks. |
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R in Action, Second Edition
2015-05-21
Robert I. Kabacoff
– author
R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines. About the Technology Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you're likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide. About the Book R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing. What's Inside Complete R language tutorial Using R to manage, analyze, and visualize data Techniques for debugging programs and creating packages OOP in R Over 160 graphs About the Reader This book is designed for readers who need to solve practical data analysis problems using the R language and tools. Some background in mathematics and statistics is helpful, but no prior experience with R or computer programming is required. About the Author Dr. Rob Kabacoff is a seasoned researcher who specializes in data analysis. He has taught graduate courses in statistical programming and manages the Quick-R website at statmethods.net. Quotes Essential to anyone doing data analysis with R, whether in industry or academia. - Cristofer Weber, NeoGrid A go-to reference for general R and many statistics questions. - George Gaines, KYOS Systems Inc. Accessible language, realistic examples, and clear code. - Samuel D. McQuillin, University of Houston Offers a gentle learning curve to those starting out with R for the first time. - Indrajit Sen Gupta, Mu Sigma Business Solutions |
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Hands-On Programming with R
2014-07-23
Garrett Grolemund
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Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools. RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time. Work hands-on with three practical data analysis projects based on casino games Store, retrieve, and change data values in your computer’s memory Write programs and simulations that outperform those written by typical R users Use R programming tools such as if else statements, for loops, and S3 classes Learn how to write lightning-fast vectorized R code Take advantage of R’s package system and debugging tools Practice and apply R programming concepts as you learn them |
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R Programming for Bioinformatics
2008-07-14
Robert Gentleman
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Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems. Drawing on the author’s first-hand experiences as an expert in R, the book begins with coverage on the general properties of the R language, several unique programming aspects of R, and object-oriented programming in R. It presents methods for data input and output as well as database interactions. The author also examines different facets of string handling and manipulations, discusses the interfacing of R with other languages, and describes how to write software packages. He concludes with a discussion on the debugging and profiling of R code. With numerous examples and exercises, this practical guide focuses on developing R programming skills in order to tackle problems encountered in bioinformatics and computational biology. |
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