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Activities & events
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#192 [Radar Recap] Building a Learning Culture for Analytics Functions, with Russell Johnson, Denisse Groenendaal-Lopez and Mark Stern
2024-04-02 · 10:00
Russell Johnson
– Chief Data Scientist
@ Marks & Spencer
,
Mark Stern
– VP of Business Intelligence & Analytics
@ BetMGM
,
Denisse Groenendaal-Lopez
– Learning & Development Business Partner
@ Booking Group
Creating a culture of continuous learning within analytics functions isn't just beneficial; it's essential. In the session, Russell Johnson, Chief Data Scientist at Marks & Spencer, Denisse Groenendaal-Lopez, Learning & Development Business Partner at Booking Group, and Mark Stern, VP of Business Intelligence & Analytics at BetMGM will address the importance of fostering a learning environment for driving success with analytics. They will provide insights on developing a culture where continuous learning, experimentation, and curiosity are the norms—and strategies leaders can adopt today to drive up excitement around analytics adoption & upskilling. |
DataFramed |
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Stories from the Field FINALE - Data Driven Logistics
2019-12-18 · 15:00
Wennie Allen
– host
@ IBM Data and AI
,
Gordon Johnson
– Global Head of Optimization
@ DHL
,
Al Martin
– WW VP Technical Sales
@ IBM
Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract This week on Making Data Simple, we have a joint finale for the series Stories from the Field. Hosts Al Martin and Wennie Allen have a discussion with Gordon Johnson, Global Head of Optimization for DHL. We get an insider's perspective on data within the shipping and logistics world, helping optimize shipping methods to get medical supplies where they are needed most. Connect with Gordon LinkedIn Connect with Wennie LinkedIn Big Data Hub Show Notes 02:20 - Learn more here about how big data analytics is making an impact at DHL. 09:43 - Check out this article on how AI changes the Logistics Industry. 17:43 - Find out more about how machine learning is changing supply chain management here. 20:33 - Discover what incubators are all about here. Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Mark Simmonds - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
Making Data Simple |
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Gnuplot in Action
2009-07-31
Philipp K. Janert
– author
Gnuplot in Action is the first comprehensive introduction to gnuplot—from the basics to the power features and beyond. Besides providing a tutorial on gnuplot itself, it demonstrates how to apply and use gnuplot to extract intelligence from data. Particular attention is paid to tricky or poorly-explained areas. You will learn how to apply gnuplot to actual data analysis problems. This book looks at different types of graphs that can be generated with gnuplot and will discuss when and how to use them to extract actual information from data. About the Technology Statistical data is only as valuable as your ability to analyze, interpret, and present it in a meaningful way. Gnuplot is the most widely used program to plot and visualize data for Unix/Linux systems and it is also popular for Windows and the Mac. It's open-source (as in free!), actively maintained, stable, and mature. It can deal with arbitrarily large data sets and is capable of producing high-quality, publication-ready graphics. So far, the only comprehensive documentation available about gnuplot is the online reference documentation, which makes it both hard to get started and almost impossible to get a complete overview over all of its features. If you've never tried gnuplot—or have found it tough to get your arms around—read on. About the Book One of gnuplot's main advantages is that it requires no programming skills nor knowledge of advanced mathematical or statistical concepts. Gnuplot in Action assumes you have no previous knowledge of either gnuplot or statistics and data analysis. The books starts out with basic gnuplot concepts, then describes in depth how to get a graph ready for final presentation and to make it look "just right" by including arrows, labels, and other decorations. Next the book looks at advanced concepts, such as multi-dimensional graphs and false-color plots—powerful features for special purposes. The author also describes advanced applications of gnuplot, such as how to script gnuplot so that it can run unattended as a batch job, and how to call gnuplot from within a CGI script to generate graphics for dynamic websites on demand. What's Inside Creating graphs with gnuplot Data transformations and filters Preparing/polishing graphs for final presentation Publishing graphs in print or on the Web Using gnuplot's power features Gnuplot scripting and programming Types of graphs and when to use them Techniques of graphical analysis How to build, install, and develop for gnuplot Command and Option reference organized by concept About the Reader Gnuplot in Action makes gnuplot easy for anyone who needs to do data analysis, but doesn't have an education in analytical tools and methods. It's perfect for DBAs, programmers, and performance engineers; business analysts and MBAs; and Six-Sigma Black Belts and process engineers. About the Author Philipp K. Janert is Chief Consultant at Principal Value, LLC. He has been a gnuplot user for more than 15 years and regards it as one of the indispensable tools in his toolbox. He has worked for small start-ups and in large corporate environments, both in the US and overseas, including several years at Amazon.com, where he initiated and led several projects to improve Amazon's order fulfillment processes. Philipp K. Janert has written about software and software development for the O'Reilly Network, IBM developerWorks, IEEE Software, and Linux Magazine. He holds a Ph.D. in Theoretical Physics from the University of Washington. Visit his website at www.principal-value.com. Quotes Knee-deep in data? This is your guidebook to exploring it with gnuplot. - Austin King, Mozilla Sparkles with insight about visualization, image perception, and data exploration. - Richard B. Kreckel, GiNaC.de Incredibly useful for beginners - indispensable for advanced users. - Mark Pruett, Systems Architect Dominion Bridges the gap between gnupolt's reference manual and real-world problems. - Mitchell Johnson, Border Stylo A Swiss Army knife for plotting data. - Nishanth Sastry, Computer Laboratory, University of Cambridge/IBM |
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Baseball Hacks
2006-01-31
Joseph Adler
– author
Baseball Hacks isn't your typical baseball book--it's a book about how to watch, research, and understand baseball. It's an instruction manual for the free baseball databases. It's a cookbook for baseball research. Every part of this book is designed to teach baseball fans how to do something. In short, it's a how-to book--one that will increase your enjoyment and knowledge of the game. So much of the way baseball is played today hinges upon interpreting statistical data. Players are acquired based on their performance in statistical categories that ownership deems most important. Managers make in-game decisions based not on instincts, but on probability - how a particular batter might fare against left-handedpitching, for instance. The goal of this unique book is to show fans all the baseball-related stuff that they can do for free (or close to free). Just as open source projects have made great software freely available, collaborative projects such as Retrosheet and Baseball DataBank have made great data freely available. You can use these data sources to research your favorite players, win your fantasy league, or appreciate the game of baseball even more than you do now. Baseball Hacks shows how easy it is to get data, process it, and use it to truly understand baseball. The book lists a number of sources for current and historical baseball data, and explains how to load it into a database for analysis. It then introduces several powerful statistical tools for understanding data and forecasting results. For the uninitiated baseball fan, author Joseph Adler walks readers through the core statistical categories for hitters (batting average, on-base percentage, etc.), pitchers (earned run average, strikeout-to-walk ratio, etc.), and fielders (putouts, errors, etc.). He then extrapolates upon these numbers to examine more advanced data groups like career averages, team stats, season-by-season comparisons, and more. Whether you're a mathematician, scientist, or season-ticket holder to your favorite team, Baseball Hacks is sure to have something for you. Advance praise for Baseball Hacks: " Baseball Hacks is the best book ever written for understanding and practicing baseball analytics. A must-read for baseball professionals and enthusiasts alike." -- Ari Kaplan, database consultant to the Montreal Expos, San Diego Padres, and Baltimore Orioles "The game was born in the 19th century, but the passion for its analysis continues to grow into the 21st. In Baseball Hacks, Joe Adler not only demonstrates thatthe latest data-mining technologies have useful application to the study of baseball statistics, he also teaches the reader how to do the analysis himself, arming the dedicated baseball fan with tools to take his understanding of the game to a higher level." -- Mark E. Johnson, Ph.D., Founder, SportMetrika, Inc. and Baseball Analyst for the 2004 St. Louis Cardinals |
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