The JavaScript & Node.js Data Science Survival Kit

Workshop
Join PWA Conference
April 19, 2020 | London
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Join PWA Conference
April 19, 2020 | London
Register now
Until July 9:
✓ Group discount
✓ Save up to £245
Register now
Until July 9:
✓ Group discount
✓ Save up to £245
Register now
Until June 18:
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save over $840
Register now
Until June 18:
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save over $840
Register now
Until July 9:
✓ Fullstack Day for free
✓ PlayStation Classic Mini or C64 Mini for free
✓ Save up to 594 €
Register now
Bis 9. Juli:
✓ Fullstack Day for free
✓ PlayStation Classic Mini oder C64 Mini for free
✓ Bis zu 594 € sparen
Register now

More talks in the program:

Infos
Friday, April 13 2018
09:00 - 17:00
Room:
Room D
Booking note:
Data Science Workshop

The field of data science can appear intractable and overwhelming, often leaving newcomers at a loss for knowing where to begin. However, once you learn basic principles and workflows, you will see many opportunities where these techniques can help you in your projects. You can better understand your users, embed a recommendation engine into your application, or easily ship dashboards including statistical summaries and stunning visualizations. The rise of Node.js and Electron are powering a new era where JavaScript continues to expand beyond the browser and becomes a critical component of server and desktop applications. With JavaScript being everywhere, one of the emerging next frontiers for JavaScript world domination is data science. In this workshop, Athan Reines and Philipp Burckhardt will demonstrate how to utilize the JavaScript open-source library stdlib for various data science tasks. Through a series of brief exercises, attendees will get a hands-on introduction, ranging from machine learning to exploratory data analysis and visualization. After completing this workshop, attendees will have a solid understanding of what kind of problems they can approach by which techniques. The speakers will close by outlining future steps for data science in JavaScript and identify opportunities for community development of next-generation tools.

This Session originates from the archive of Diese Session stammt aus dem Archiv von LondonLondon . Take me to the program of . Hier geht es zum aktuellen Programm von PWA Conference London PWA Conference London .

This Session originates from the archive of Diese Session stammt aus dem Archiv von LondonLondon . Take me to the program of . Hier geht es zum aktuellen Programm von London London .

This Session originates from the archive of Diese Session stammt aus dem Archiv von LondonLondon . Take me to the program of . Hier geht es zum aktuellen Programm von New York New York .

This Session originates from the archive of Diese Session stammt aus dem Archiv von LondonLondon . Take me to the program of . Hier geht es zum aktuellen Programm von Munich München .

This Session Diese Session originates from the archive of stammt aus dem Archiv von LondonLondon . Take me to the current program of . Hier geht es zum aktuellen Programm von PWA Conference London PWA Conference London , London London , New York New York or oder Munich München .

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