Mailman 3 May 2020 - HydPy -- Hyderabad Python Users Group - India

Informing users of python.org about alternatives to Google
by Julie Roberts 21 Nov '23

21 Nov '23

Hi , I noticed you link to Mozilla Firefox, which is my favorite search engine because they focus their attention on privacy. You link to them from this page on your site BTW: python.org/doc/essays/cp4e/ I think that switching from Google to Mozilla Firefox is only the first step in knowing what alternatives are available for other Google services, like Gmail, YouTube etc, I was part of the team that created this article about the best existing alternatives for Google, and I wanted to ask you if you would be willing to share it on that page of yours with your users. This way, they will know they have alternatives that are maybe smaller and less known but that try to make a living in the shadow of the internet giant called Google. https://www.vpnmentor.com/blog/survive-online-without-google/ Please help out and let's support ProtonMail, Vimeo, FireFox and the rest of the alternatives. Thanks in advance, Julie

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Interest in HydPy program for a speaking session
by Chowdhury, Natasa 23 Oct '20

23 Oct '20

Hi, This is in reference to the HydPy program that is scheduled to be held at Epam India for Feb 22. I'm writing on behalf of my organization Verizon. We are interested to explore speaking opportunities at HydPy. Please do let me know what would be a good time to have a quick call regarding this. Regards, Natasa 983674089

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Re: IBM Data Science Community, HydPy meetup support
by Tim Bonnemann 25 Jun '20

25 Jun '20

Hi, This is a follow-up to my discussion with Kalyan Prasad regarding potential IBM speaker involvement at one of your upcoming (virtual) events. For background: The IBM Data Science Community <https://community.ibm.com/community/user/datascience/> is a digital venue for more than 11,000 data scientists, AI developers, machine learning engineers and like-minded technical practitioners to learn, share, and engage. We support leading non-IBM meetups in key tech hubs around the world that have a strong focus on data science and AI and support them through speakers, sponsorships and (occasionally) venue space. Our team currently has four topics on offer (please see abstracts below): - AI Fairness - AI Explainability - AutoML - ML Ops Other topics include: - Geospatial Libs - Privacy-Preserving Machine Learning - Customizing JupyterLab Using Extensions - AI Pipelines Powered by Jupyter Notebooks Talks are usually 30-45 minutes but can be customized to fit lightning talk slots or include more hands-on workshop type elements. Hope you find some of these interesting. Let me know if you have any questions. Thanks, Tim *Removing Unfair Bias in Machine Learning* "Extensive evidence has shown that AI can embed human and societal bias and deploy them at scale. And many algorithms are now being reexamined due to illegal bias. So how do you remove bias & discrimination in the machine learning pipeline? In this webinar you’ll learn the debiasing techniques that can be implemented by using the open source toolkit AI Fairness 360. AI Fairness 360 (AIF360) is an extensible, open source toolkit for measuring, understanding, and removing AI bias. AIF360 is the first solution that brings together the most widely used bias metrics, bias mitigation algorithms, and metric explainers from the top AI fairness researchers across industry & academia. In this webinar you’ll learn: - How to measure bias in your data sets & models - How to apply the fairness algorithms to reduce bias - How to apply a practical use case of bias measurement & mitigation in a data-driven medical care management scenario" *Explainable Workflows using Python* This talk approaches the typical data science workflow with a focus on explainability. Simply put, it focuses on skills and tactics used to help data scientists articulate their findings to end-users, stake-holders, and other data scientists. From data ingestion, cleaning and feature selection, and ultimately model selection, explainability can be incorporated into a data scientists workflow. Using a combination of semi-automated and open source software, this talk walks you through an explainable workflow. *AutoML, a Review* AutoML is a term that appears increasingly in tech industry articles and vendor product claims, and is also a hot topic within AI research in academia. Consider how nearly all of the public cloud vendors promote some form of AutoML service. The tech “unicorns” are developing AutoML services for their data platforms, many of which have been made open source. A flurry of smaller tech startups promise to “democratize” ML and relieve AI-related hiring pains for enterprise customers. Given all the buzz, what does “AutoML” mean? This meetup is a review of the current space and what we have to expect of AutoML. *ML Ops, a Meetup* Consider how the software development life cycle (SLDC) is well-defined at this point: planning, creating, testing, deploying, maintaining – or some variant, depending on your software methodology. The gist remains consistent. Computer software runs “logic” in hardware, the test suites are repeatable, it’s a relatively deterministic process. Consider how, with machine learning, we’re working with probabilistic systems instead. Instead of writing code as instructions, we’re guiding these systems to learn from data. IBM has a mission to help bring machine learning capabilities to all, so we can all participate in the AI economy responsibly. Consequently, there are many different participants and stakeholders in this emerging field of ML Ops. This meetup will review the current state of what it takes to build successful pipelines in this probabilistic setting so that we can build a shared understanding of why we treat our models as living products and ask the right questions: Are they healthy? Are the representative? Are they biased?

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HydPy May Meetup
by Jatin Goel 11 May '20

11 May '20

Hi All, The next meetup from "Hyderabad Python User Group" [1] is scheduled for *29th May 2020*. Please check the abstract on meetup link[2] and do RSVP. Location - Online [3] Do follow us on social media[4][5] or join our Telegram channel[6] for frequent updates and if you'd like to speak at HydPy meetups, please open a GitHub Issue[7] to submit your talk proposal. If you have any further questions/suggestions, please feel free to contact us at contact(a)hydpy.org or hydpy(a)python.org mailing list. [1] - https://www.meetup.com/Hyderabad-Python-User-Group [2] - https://www.meetup.com/HydPyGroup/events/270578783 [3] - https://meet.jit.si/HydPyMeetup-29/05/2020 [4] - https://www.facebook.com/HydPy/ [5] - https://twitter.com/HydPython/ [6] - https://bit.ly/join-hydpy [7] - https://bit.ly/hydpy-cfp Regards, Jatin Goel On Behalf of Team HydPy

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