BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20200308T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20191103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260408T041308Z UID:wG4pBQ DTSTART;VALUE=DATE:20191113 DTEND;VALUE=DATE:20191114 CLASS:PUBLIC CREATED:20191018T154549 DESCRIPTION: On Wed Nov 13\, join ~180 devs at SF Python's presentation nig ht to learn more about Machine learning and Data pipelines! \n\n Our gener ous sponsor Yelp will also provide pizza and drinks for this evening. \n\n PROGRAM \n\n Lightning talks \n\n \n Python's Best AI Packages - Cameron Smith \n Streamlit - app framework for ML &\; Data Science teams - Aman da Kelly \n Team skills and mentoring mentors - Yarko Tymciurak \n \n\n P lease submit your talk ideas 👉 here \n\n Short talk(~10 mins + Q&\; A) \n\n 1 - Taking Python Serverless: Using Zappa to deploy webapps withou t infrastructure \n\n So you've built your Python application and want to deploy it to your users. How do you go about that? One increasingly common answer to that question is ""deploy it as a serverless application"". Wha t does it mean to deploy a serverless app\, and how can you try out server less in a low-risk way? \n\n This talk will answer both of those questions . First\, it will give an overview of serverless applications and the adva ntages they provide over other deployment modes. Next it will dig into Zap pa\, a library for deploying serverless python apps\, and show how Zappa a llows you to deploy your webapp as a serverless application in seconds. Th is ease also comes with trade-offs\, so the talk will close by discussing what you lose with Zappa and how we've worked around those limits at Nuna. By the end of this talk\, you'll have a better understanding of serverles s applications and you'll be able to evaluate if Zappa is the right fit fo r your needs. \n\n Jonathan is a software engineer building web applicatio ns which get Americans better access to healthcare at Nuna inc. Jonathan s pends his day writing Python in django\, and his nights learning Arabic. Y ou can find him on the twitterverse at @maltzj. \n\n What's new in Tensorf low 2.0 - Francesco Mosconi \n\n Tensorflow 2.0 was recently announced by Google and it comes with quite a few disruptive changes with respect to bo th Tensorflow 1.x and Keras. In this 10 minutes talk I will guide you thro ugh this changes with example code and explain when and how you should use it to build your AI projects with Python. \n\n Main talk (30 mins) \n\n H ow Do Algorithms Become Biased? - Eva Sasson \n\n There’s bias in algori thms - how does this happen? In this talk\, we will walk through the steps of how to build an algorithm to predict property prices from a dataset of property listings\, focusing predominantly on finding the right features to include in building the model. Then\, we will understand where in the f eature engineering process we start introducing bias into our algorithms\, and what are the ramifications of this if the model were to be deployed i n the real world. Using the prediction algorithm as a framework to look at each step of the building process\, we will also look at real-world examp les of when certain decisions have led to unequal and biased results. \n\n Eva Sasson is a technical Product Marketer at Sentry.io. She has presente d Network Graphs at the Sunbelt Conference in Utrecht\, Netherlands\, Pyco n Canada\, PyTennessee and about Machine Learning Bias at DataDay Mexico. Her passion is to support women and underrepresented communities in tech\, in addition to transitioning to a zero waste lifestyle and keeping lots o f things in jars. \n\n AGENDA \n\n 6:00p - Check-in and mingle\, with food provided by our generous sponsor! \n\n 7:05p - Welcome \n\n 7:30p - Door close \n\n 7:10p - Announcements\, lightning talks and main talk \n\n 8:15 p - More mingling \n\n 9:30p - Hard stop \n\n This event is produced by: \ n\n SF Python\, a volunteers-run organization aiming to foster the Python Community in the Bay Area. \n\n Venue and food is donated by: \n\n Yelp. T hey power 89 million mobile users and 79 million desktop users every month . Keeping everything running smoothly requires the best and brightest in t he industry. Their engineers come from diverse technical backgrounds and v alue digital craftsmanship\, open-source\, and creative problem-solving. T hey write tests\, review code\, and push multiple times a day. Come out an d talk to them. \n LAST-MODIFIED:20240728T211358 LOCATION:140 New Montgomery · San Francisco\, CA ORGANIZER:mailto:grace@pybay.com SUMMARY:Learn about Machine Learning and Data Pipelines URL;VALUE=URI:https://ti.to/sf-python/machine-learning-and-data-pipelines URL;VALUE=URI:https://ti.to/sf-python/machine-learning-and-data-pipelines END:VEVENT BEGIN:VEVENT DTSTAMP:20260408T041308Z UID:wG4pBQ1029303 DTSTART;TZID=America/Los_Angeles:20191113T180000 DTEND;TZID=America/Los_Angeles:20191113T213000 CLASS:PUBLIC CREATED:20191018T154551 LAST-MODIFIED:20191113T171210 LOCATION:Yelp HQ\, 140 New Montgomery St\, San Francisco\, CA 94105\, Unite d States ORGANIZER:mailto:grace@pybay.com SUMMARY:[Learn about Machine Learning and Data Pipelines] SF Python Present ation Night URL;VALUE=URI:https://ti.to/sf-python/machine-learning-and-data-pipelines URL;VALUE=URI:https://ti.to/sf-python/machine-learning-and-data-pipelines END:VEVENT END:VCALENDAR