COMMUNITY EVENT

Events are scheduled Tuesdays at 7:00pm, every Tuesday between June 24th and July 29th Join the University of Minnesota's School of Physics and Astronomy for an Astounding series of free public lectures on Amazing Advances in Astrophysics! You are invited to come learn about the mysteries of the universe and what your local astrophysicists are doing to solve them every Tuesday in July at 7 p.m. Find out how citizen scientists are helping researchers find exciting and unexpected patterns in bigger-than-life data sets, what we can learn from staring directly at the sun, how scientist sleuths are looking back in time to see how the very first galaxies came to be, and more!

Silicon Prairie Friday Open Office Hours are now LIVE on ZOOM! Held EVERY FRIDAY morning from 9:30 to 11:30 AM (central)

RSVP to see the Zoom Meeting Details

Can't make it? Watch a recent presentation here:

https://vimeo.com/506243666

Agenda: The first hour is “ask us anything” topics usually include: Small Business, Tech Startups, Financial Securities, Software Security, Blockchain, or Investment Crowdfunding. Even if you don’t ever become a customer of ours – we want to be a resource for you!

The second hour is an Investment Crowdfunding 101 we have a PowerPoint presentation that covers how to raise money for small businesses using Investment Crowdfunding. We cover fundraising options, the Investment Crowdfunding laws/ regulations, the process, dollar amounts, timelines, costs, pitfalls, and best practices.

We’ve been hosting Open Office Hours in-person for YEARS now, and now we’re delighted to share our experience and knowledge with our broader community. Friday at 9:30 is your chance to catch up with us and/or pick our brains, ask gritty questions, or just share what’s new with you!

As always, feel free to connect with us on Linkedin as well! Hope to catch-up soon!

Machine Learning, AI, Deep Learning, Neural Networks etc are the future of how insightful decisions will be made and how businesses will compete in the marketplace. These skills are becoming MANDATORY if you want to lead in the next decade. There is a lot to read on these topics. I have led a large Big Data team that also dived into Machine Learning by implementing few ML solutions. Few of us are planning to work in group settings to dive into Machine Learning by taking online classes like Udacity's Machine Learning and AI Nanodegrees and by doing group projects. We will like to meet during the evenings and weekends based on our collective availability. We will also explore use cases with publicly available data that present interesting business cases. We are looking for like-minded people who are passionate about learning by doing.

Agenda:

Share tips, tricks, notes, industry stories/insights and help each other to move forward in learning Machine Learning content. This is designed to support active members for all to move forward.

All coursework is selected from Udacity.com online learning towards growing Machine Learning foundation and skills.

Pre-requisite courses for Machine Learning Nanodegree:

These courses are FREE

1. Introduction to Python Programming

2. Intro to Descriptive Statistics

3. Intro to Inferential Statistics

4. Linear Algebra Refresher Course

5. Intro to Machine Learning

Machine Learning Engineer Nanodegree (cost ~$200/month)

Additional FREE Udacity.com coursework considerations:

• Machine Learning (by Georgia Tech, C57641)

• Machine Learning: Unsupervised Learning (by Georgia Tech, C57641)

Members and team progress maintained in Google Spreadsheet

Bootstrappers Breakfast is currently virtual in the MidWest. We will send out a link for attendance to those that RSVP.

For first time attendees. The breakfast starts at 8:30 am Central and ends at 10:00am. This breakfast is for early stage--even white board--companies that are interested in learning from those that have been there. It's a chance to compare notes on operational, development, and business issues with peers.

The MidWest Bootstrappers Breakfast is moderated by Sean Murphy, founder of the Bootstrappers Breakfasts (https://www.bootstrappersbreakfast.com). Whether you're a seasoned entrepreneur or thinking about starting something from your garage, come on out for a great conversation.

We ask that everyone turn their camera on to make the meeting a little friendlier.

Whether you're a seasoned entrepreneur or just thinking about starting something, expect nice people, good advice, and great conversation.

D4PG is a collective community space where we share insights, learnings, and have conversations on topics including Digital justice, Afrofuturism, Data privacy, Artificial Intelligence, and so much more.

We were at Fulton last summer, it was a lovely evening on their patio, let's do it again! So wait, this is a singles event right? Or a professional networking thing? Nope. Break the Bubble is for making friends, pure and simple. You can leave the pick-up lines and elevator speeches at home. Refreshing, isn't it? What's the format? 1. Show up 2. Put on a name tag 3. Introduce yourself to someone new I heard these events have themes. What’s up with that? Yep. Our events have themes because most of us need a little help kickstarting conversations with people we don't know. Question to be announced closer to the event... we want to keep you guessing! Is this just a Millennials thing? Nope! Our events are open to anyone over 21.

Silicon Prairie Friday Open Office Hours are now LIVE on ZOOM! Held EVERY FRIDAY morning from 9:30 to 11:30 AM (central)

RSVP to see the Zoom Meeting Details

Can't make it? Watch a recent presentation here:

https://vimeo.com/506243666

Agenda: The first hour is “ask us anything” topics usually include: Small Business, Tech Startups, Financial Securities, Software Security, Blockchain, or Investment Crowdfunding. Even if you don’t ever become a customer of ours – we want to be a resource for you!

The second hour is an Investment Crowdfunding 101 we have a PowerPoint presentation that covers how to raise money for small businesses using Investment Crowdfunding. We cover fundraising options, the Investment Crowdfunding laws/ regulations, the process, dollar amounts, timelines, costs, pitfalls, and best practices.

We’ve been hosting Open Office Hours in-person for YEARS now, and now we’re delighted to share our experience and knowledge with our broader community. Friday at 9:30 is your chance to catch up with us and/or pick our brains, ask gritty questions, or just share what’s new with you!

As always, feel free to connect with us on Linkedin as well! Hope to catch-up soon!

Machine Learning, AI, Deep Learning, Neural Networks etc are the future of how insightful decisions will be made and how businesses will compete in the marketplace. These skills are becoming MANDATORY if you want to lead in the next decade. There is a lot to read on these topics. I have led a large Big Data team that also dived into Machine Learning by implementing few ML solutions. Few of us are planning to work in group settings to dive into Machine Learning by taking online classes like Udacity's Machine Learning and AI Nanodegrees and by doing group projects. We will like to meet during the evenings and weekends based on our collective availability. We will also explore use cases with publicly available data that present interesting business cases. We are looking for like-minded people who are passionate about learning by doing.

Agenda:

Share tips, tricks, notes, industry stories/insights and help each other to move forward in learning Machine Learning content. This is designed to support active members for all to move forward.

All coursework is selected from Udacity.com online learning towards growing Machine Learning foundation and skills.

Pre-requisite courses for Machine Learning Nanodegree:

These courses are FREE

1. Introduction to Python Programming

2. Intro to Descriptive Statistics

3. Intro to Inferential Statistics

4. Linear Algebra Refresher Course

5. Intro to Machine Learning

Machine Learning Engineer Nanodegree (cost ~$200/month)

Additional FREE Udacity.com coursework considerations:

• Machine Learning (by Georgia Tech, C57641)

• Machine Learning: Unsupervised Learning (by Georgia Tech, C57641)

Members and team progress maintained in Google Spreadsheet