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I'm Attending!March 06, 2021March 06, 2021PyTennessee 2021UTC#About PyTennessee 2021
- March 6, 2021
- Free to attend
PyTennessee is a yearly regional Python conference in Nashville, TN. The conference was started in 2014 by Jason Myers and Will Golden, and has been a staple of the conference calendar every year since. PyTennessee 2021 will be our 8th year, and our first year doing a purely virtual conference!
PyTennessee is a nonprofit event facilitated by TechFed Nashville, a Tennessee nonprofit organization whose mission is to support and grow the grassroots tech talent in Middle Tennessee through educational events and groups. TechFed provides financial stewardship, risk management and volunteer leadership development for Nashville-area technology events.
PyTennessee endeavors to be a diverse conference dedicated to providing an enjoyable experience to everyone. Help us do this by following our code of conduct.
##About the Talks
PyTennessee is a developer-focused Python conference with talk topics running the gamut between beginner and advanced, and from web development to data science and machine learning. The majority of our talks are Python-focused, but in addition to the Python-related topics, we also look for and encourage Python-adjacent and “professional skills” talks to provide a more complete experience. Developers are more than the single language they write in, and PyTennessee attempts to reflect that in our talk selection.
##About the Staff
If you need to contact the PyTennessee 2020 organizers, you can do so by sending an email to [firstname.lastname@example.org](mailto:email@example.com). If you’d like to know more about the organizers, please visit the [Staff Information page](https://2021.pytennessee.org/staff).Virtual
I'm Attending!March 24, 2021March 24, 20214th Women in Data Science Silicon Valley @ SAP ConferenceUTCThe fourth Women in Data Science Silicon Valley @ SAP Conference is a full-day event focusing on the future of Data Science under the theme “Data Science at the Cross Roads”. This conference aims to bring together Data Scientists, Data Engineers, Architects, Designers, Project Managers, and Students to join the conversation on how we can leverage Data Science to create a better world. After a year like 2020, where do we go from here?
There is a clear understanding of the value of data and its use in decision making through actionable insights. However, as of today, the estimate is that only 13% of Artificial Intelligence (AI) models make it to production. Check out the [brilliant speakers](https://events.sap.com/us/wids-2020-sv/en/online-speaker) from our last conference and become part a part of the conversation pushing the boundaries of Data Science.
The conference will feature four tracks, that invite participants to dive deeper into the topics of their choosing:
Deploying Data science into production involves building systems that support and automate data-driven functional decisions. However, only a very small percentage of data science projects make it to production with deployment being one of the reasons for failure. Hence, it is crucial for every decision-maker to reduce the risk of failure by adopting different technologies that can work well with their production environment. This track focuses on challenges faced in the deployment process, turning proof of concepts into production, Federated learning, evolving Data science, Data science in the cloud, different technologies used for deploying data science into production, etc.
2020 has put a bright spotlight on the social justice issues in this country and is fueling a movement for change. This track focuses on how data science can promote social justice and human rights in the US and around the world.
This track focuses on the intersection of data science innovations with ethics in particular concerning fairness and privacy. How will legal boundaries and innovation lead to more accountability and transparency in the field of data science?
2020 has been a year that none of us imagined. The COVID-19 pandemic has thrown many organizations into uncharted territory and the effects of COVID permeated data science projects. This track is about why data science was impacted, the possible effects of COVID-19 on Data Science methods, and how to handle COVID Impacts.
Potential topics for this track include: How were your datasets affected? What do you do when the data coming in does not reflect normal behavior or situations? Did your forecasting or other models fail due to COVID? Did you build brand new models? How did you mitigate or account for the effect of COVID-19 in data?Virtual, US Time Zone
I'm Attending!June 25, 2019November 26, 2019Solent IoT & Machine LearningUTCSince Solent IoT Meetup's inception in 2017, the Solent is in the top 5 UK's leading hubs for IoT (InnovateUK 2018 figures), with the best LPWAN coverage in the country. Businesses, local government and academia in the area have adopted new IoT data streams over the last 2 years into business-as-usual.
This monthly meetup event now turns its attention to the tools and techniques used to shepherd these new data streams. We invite speakers on all topics relating to IoT, Machine Learning, Data Engineering, Data Transformation, Data Architecture specifically for IoT in the next chapter of our group.
A broad church, our members are scientists, engineers, entrepreneurs and artists and everyone in between. Southampton, UK