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Whose Line Graph is it Anyway? The SQL (Actually in R)
2023-07-06 · 22:00
External registration required at nyhackr.org. Following up his previous improv data analysis, David Robinson is at it again with a fresh dataset. Thank you to Microsoft for hosting us. Everybody attending must RSVP through the registration form at nyhackr.org. There is a charge for in-person and virtual tickets are free. After the talk we will randomly select two attendees (both in-person and virtual) to receive free tickets to The New York R Conference taking place July 11-14. About the Talk: The best approach to a technical presentation is careful planning and preparation. But where's the fun in that? In this talk, I'll demonstrate an exploratory data analysis in R on a dataset I've never seen in advance, and which was chosen by a friend for its novelty value. I'll demonstrate the use of tools such as dplyr and ggplot2 for data transformation and visualization, as well as other packages from the tidyverse as they're needed. I'll narrate my thought process to show how a data scientist thinks through a problem, and take suggestions from the audience at key points. This talk is a sequel to my 2019 nyhackr meetup talk. About David: David Robinson is Director of Data Science at Heap Analytics, where he's helping to build the next generation of product analytics technology. He's the co-author with Julia Silge of the tidytext package and the O'Reilly book Text Mining with R. He also created the broom, fuzzyjoin, and widyr packages, and authored the e-book Introduction to Empirical Bayes. David is passionate about R, statistics, education, live-coding, probability, and his two children. The venue doors open at 5:30 PM America/New_York where we will continue enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 6:00 PM America/New_York. Remember, register at nyhackr.org. |
Whose Line Graph is it Anyway? The SQL (Actually in R)
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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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Text Mining with R
2017-06-26
David Robinson
– author
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Julia Silge
– author
Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and other tidy tools in R can make text analysis easier and more effective. The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You’ll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media. Learn how to apply the tidy text format to NLP Use sentiment analysis to mine the emotional content of text Identify a document’s most important terms with frequency measurements Explore relationships and connections between words with the ggraph and widyr packages Convert back and forth between R’s tidy and non-tidy text formats Use topic modeling to classify document collections into natural groups Examine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages |
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Supply Chains: A Manager's Guide
2003-09-24
Ph.D. David A. Taylor
– author
“An excellent summary of the state of supply chain management going into the twenty-first century. Explains the essential concepts clearly and offers practical, down-to-earth advice for making supply chains more efficient and adaptive. Truly a survival guide for executives as they struggle to cope with the increasing competition between supply chains.” — Christian Knoll, Vice President of Global Supply Chain Management, SAP AG “Through real-world case studies and graphic illustrations, David Taylor clearly demonstrates the bottom-line benefits of managing the supply chain effectively. Although the book is written for managers, I recommend it for everyone from the executive suite to the shipping floor because they all have to work together to master the supply chain. But beware—you can expect many passionate employees demanding improvements in your company’s supply chain after reading this book!” — David Myers, President, WinfoSoft Inc., Former Board Member of Supply Chain Council “A comprehensive, thoroughly researched, and well-designed book that gives managers the information they need in a highly readable form. I am already starting to use the techniques in this book to improve our international distribution system.” — Jim Muller, Vice President of Produce Sales, SoFresh Produce “Supply chain management is a deceptively deep subject. Simple business practices combine to form complex systems that seem to defy rational analysis: Companies that form trading partnerships continue to compete despite their best efforts to cooperate; small variations in consumer buying create devastating swings in upstream demand, and so on. In his trademark fashion, Taylor clearly reveals the hidden logic at work in your supply chain and gives you the practical tools you need to make better management decisions. A must-read for every manager who affects a supply chain, and in today's marketplace there are few managers who are exempt from this requirement.” — Adrian J. Bowles, Ph.D., President, CoSource.net “David Taylor has done it again. With his new book, David makes supply chain management easy to grasp for the working manager, just as he did with his earlier guides to business technology. If you work for a company that is part of a supply chain, you need this book.” — Dirk Riehle, Ph.D. “David Taylor has done a masterful job of defining the core issues in supply chain management without getting trapped in the quicksand of jargon. This concise book is well written, highly informative, and easy to read.” — Marcia Robinson, President, E-Business Strategies, author of Services Blueprint: Roadmap “Taylor has done a tremendous job of giving readers an intuitive grasp of a complicated subject. If you’re new to supply chains, this book will give you an invaluable map of the territory. If you're already among the initiated, it will crystallize your insights and help you make better decisions. In either case, you can only come out ahead by reading this book.” — Kevin Dick, Founder of Kevin Dick Associates, author of XML: A Manager’s Guide “My motto for compressing data is ‘squeeze it til it gags.’ In the current business climate, that’s what you have to do to costs, and Taylor shows you many ways to squeeze costs out of your supply chain. He also writes with the same economy: This book contains exactly what you need to manage your supply chain effectively. Nothing is missing, and nothing is extra.” — Charles Ashbacher, President, Charles Ashbacher Technologies Today's fiercest business battles are taking place between competitors' supply chains, with victory dependent on finding a way to deliver products to customers more quickly and efficiently than the competition. For proof, just look to Dell and Amazon.com, both of which revolutionized their industries by changing how companies produce, distribute, and sell physical goods. But they're hardly alone. By revamping their supply chains, Siemens CT improved lead time from six months to two weeks, Gillette slashed $400 million of inventory, and Chrysler saved $1.7 billion a year. It's a high-stakes game, and you don't have a lot of choice about playing: If your company touches a physical product, it's part of a supply chain--and your success ultimately hangs on the weakest link in that chain. In , best-selling author David Taylor explains how to assemble a killer supply chain using the knowledge, technology, and tools employed in supply-chain success stories. Using his signature fast-track summaries and informative graphics, Taylor offers a clear roadmap to understanding and solving the complex problems of supply-chain management. Supply Chains: A Manager's Guide Modern manufacturing has driven down the time and cost of the production process, leaving supply chains as the final frontier for cost reduction and competitive advantage. will quickly give managers the foundation they need to contribute effectively to their company's supply-chain success. Supply Chains: A Manager's Guide |
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