• Alumni Led Workshop: Machine Learning In the Cloud

    Galvanize - Austin

    ** This event is now on waitlist *** The cloud enables applied machine learning at scale for businesses both large and small. At Amazon Web Services, their goal is to provide a platform that puts machine learning into the hands of everyday developers. In this session and hands-on workshop, we will review the three layers of the AWS machine learning stack, from deep-learning frameworks to pre-trained AI services, with an emphasis on Amazon SageMaker. Amazon SageMaker is a fully-managed machine learning service that allows developers and data scientists to quickly build, train, and deploy ML models from their browser. This talk will cover how Amazon thinks about machine learning and review the offerings and business advantages of using AWS for machine learning in the cloud. We will also provide an opportunity to see the ease of AWS machine learning yourself with a hands-on SageMaker workshop in your AWS account, within the AWS Free-Tier. Note: Bring a laptop if you'd like to participate in the hands-on portion. Knowledge of Python and Anaconda-installed packages helpful but not required for the hands-on portion. *** Lecture will begin promptly at 6:45pm *** Schedule: 6:30pm-6:45pm: Arrival 6:45pm-7:45pm: Lecture 7:45pm-8:45pm: Hands-on workshop 8:45pm-9:00pm: Farewells Speaker Wallace Printz is an alumnus of Galvanize's Data Science Immersion program, and is now a Senior Solutions Architect at Amazon Web Services, where he helps guide companies in transforming their business. Prior to attending Galvanize, Wallace spent 16 years in the semiconductor industry, where he led a team of computational research scientists, as well as started his own consulting business in the area of Intellectual Property protection. Parking & Arrival Parking is $5 after 5pm at the North Shore garage near the Galvanize entrance on Nueces and 2nd. Take the elevator up to the 2nd floor and sign in at reception. Doors open at 6:15. Entrance to the Galvanize building is on Nueces and the corner of 2nd in downtown Austin. About our Sponsor Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education - part-time and full-time training in web development, data science, and data engineering Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com.

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  • Approachable Data Science: An Introduction

    Galvanize - Austin

    ** This event is now on waitlist ** Galvanize is co-sponsoring this event with Women In Data Science ATX and ACM SIGKDD to bring you this unique workshop. ** This event is now on waitlist ** https://www.meetup.com/Austin-ACM-SIGKDD/events/hhrhcryzkbvb/ To complement our more advanced topics, we will be starting an introductory course to help those in our group who want to get started in building machine learning models. This will be a six-part course covered in 1-1.5 hour workshops. Each session will take the form of part instructor-led training and part hands-on exercises. We will cover how you start and organize a project, exploring the data, preparing the data, building the model, evaluating the model and publishing the model so others can use your work. We will plan to have a session every 2 weeks. At the end of this course if you attend at least 75% of the sessions then you will receive a certificate for the course from the ACM in the final session. I will announce the location once I get a sense of the size of the group. This course is at no cost to you and you do not need to be a member to attend. Course Description: Interested in Data Science but don't have a computer science or math background? We are taking the intimidation out of this subject. This workshop will help you understand the building blocks of a data science project, introduce steps to take before getting started, and will familiarize you with tools to create classifiers and predictors. Approachable Data Science will give you simple approaches to going beyond tools like Microsoft Excel by walking you through a typical project involving data science. This will include strategies around structuring a project for success, using tools to simplify implementation, and how to clearly share results with your team. For example, one of the models we will build addresses a problem that many businesses face- Churn. We will use billing data to train a model to see if we can predict customers that will terminate. This real-world example provides space to explore the data involved and build a machine learning model with a data science toolkit. Then you will evaluate your results and learn how to share them with others. Suggested Experience Level: You do not need a programming background for this class. You should, however, be comfortable with basic data manipulation in spreadsheets and you should be familiar with basic descriptive statistics concepts. For example, you should know how to get the sum, mean, minimum and maximum from a set of numbers. We will be using machine learning workbench called KNIME which is free to download and will not require the code to use. What to bring: You should bring your own laptop (either Windows/Mac) so you can use the software to run the exercises we provide. Show up prepared to build a real machine learning model! RSVP here --> https://www.meetup.com/Austin-ACM-SIGKDD/events/hhrhcryzkbvb/ The Instructor: Chance Coble has been helping people get value from their data for over 20 years. He has been recruited to lead predictive analytics solutions at some of the most successful organizations in the world. He has been selected by the United States government and other governments around the world to implement cutting edge solutions in machine learning and artificial intelligence. Mr. Coble is currently President and CEO of Blacklight Solutions where he spends his days finding practical approaches for small and mid-sized organizations to execute on and benefit from their analytics and AI strategies. He holds a B.S. in Computer Science from the University of Texas at Austin and an MS in Biomedical Informatics from the University of Texas at Houston.

  • Intro to Computer Vision and Neural Networks

    Galvanize - Austin

    Deep learning, computer vision, and several other exciting data science fields all share a common history rooted in the construction of modern-day neural networks. With the advent of camera phones generating billions of images per day, self driving cars and drones, computer vision is a hot subsect of the artificial intelligence field. We will take a look at the history of computer vision and in turn, better understand neural networks themselves and what makes them so powerful. This talk will have something for everyone! The talk itself will primarily stay focused on the conceptual aspects of neural networks with only brief sections of code and math. However, there is also an accompanying repo that will include links to all the highlighted whitepapers and sample implementations in Keras. RSVP HERE to attend -> https://comp-vision-jun-2019.eventbrite.com Schedule: 6:30pm-7:00pm: Mingle and Enjoy Food/Refreshments 7:00pm-8:00pm: Demo & Lecture 8:00pm-8:15pm: Q&A 8:15pm-8:30pm: Farewells Speaker: Dan Rupp is a data scientist instructor at Galvanize, where he also completed the Data Science Immersive program. After working in the healthcare industry in a prior role, he saw how hospitals had access to tons of valuable data, but it wasn’t being used to judge the efficacy of treatment plans and drug perscriptions or to find cheaper alternatives. That ignited his journey into the data science field. When he’s not teaching, Dan spends his time exploring better ways of handling missing data and recommender systems. Parking & Arrival Parking is $5 after 6pm at the North Shore garage near the Galvanize entrance on Nueces and 2nd. Take the elevator up to the 2nd floor and sign in at reception. Doors open at 6:15. Entrance to the Galvanize building is on Nueces and the corner of 2nd in downtown Austin. RSVP HERE to attend -> https://comp-vision-jun-2019.eventbrite.com About Galvanize: Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education – part-time and full-time training in software engineering and data science Workspace – whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth Networking – events in the tech industry happen constantly on our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com.

  • Python Fundamentals 6-Week Course: Data Science Prep

    Galvanize - Austin

    Description Are you interested in learning more about data science? You know it’s necessary to be a strong programmer, but you don’t know how to get started. In this six-week workshop, you’ll learn how to program in Python; after completing the six-week course, you’ll be better prepared to learn data science and/or take a data science immersive entrance test. What You’ll Learn / Takeaway: Whether you’ve programmed in other languages or Python is your first, this class will teach you the nuances of Python and how to use them to your advantage in your data science projects. Here’s what you’ll learn: Environment Setup - Data Scientist Workflow - Ins and Outs of Coding Pythonically - Object Oriented Programming - Popular Data Science Libraries including Matplotlib, Pandas, Numpy, Sklearn Who Should Take this Class? For those of you interested in learning to program in Python, so you may be better prepared for self-study in data science or for a data science immersive program. Prerequisites: A desire to learn. Note: Previous programming experience can be helpful but is not necessary. Sign-Up Here: http://bit.ly/python-6workshop Weekly Agenda Monday & Wednesday, 6:30 pm – 9:00 pm Week 1: June 3rd & 5th Week 2: June 10th & 12th Week 3: June 17th & 19th Week 4: June 24th & 26th BREAK WEEK Week 5: July 8th & 10th Week 6: July 15th & 17th Click to get the full course outline, pricing information and enrollment into the 6-week workshop: http://bit.ly/python-6workshop ** 100% of the workshop payment can be used as tuition credit for our Data Science Immersive. About Galvanize: Galvanize is the premier dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education - part-time and full-time training in web development and data science Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth Networking - events in the tech industry happen constantly on our campuses, ranging from popular Meetups to multi-day international conferences

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  • What Was I Doing 6 Months Before Becoming A Data Scientist?

    Do you want to become a data scientist but don’t know if it’s for you? Do you want to meet other aspiring data scientists or just want to know how companies like Walmart Technologies and Accenture/Fjord use Data Scientists to make big decisions? Then keep reading! Details Come join us for a panel discussion with Data Scientists who’ll be sharing their stories on what it took for them to become a data scientist, why they chose this field and what they do day to day in their current roles. There are many ways to becoming a data scientist, and your journey is your own. In this engaging and intimate event, you’ll be given the chance to meet and ask questions directly of our data science panelists and learn how you can get hired as a data scientist one day! RSVP ---> https://data-science-panel-austin-may-2019.eventbrite.com Feel free to bring friends. Food + beverages provided Agenda 6:30 - 7:15 PM : Arrival/Mingling 7:15 - 8:00 PM : Panel Discussion and Audience Q&A 8:00 - 8:30 PM : Individual Question/Answer and Mingling Parking & Arrival Parking is $5 after 6pm at the North Shore garage near the Galvanize entrance on Nueces and 2nd. Take the elevator up to the 2nd floor and sign in at reception. Doors open at 6:15. Entrance to the Galvanize building is on Nueces and the corner of 2nd in downtown Austin. Reserve your spot now! Click here --> https://data-science-panel-austin-may-2019.eventbrite.com About Galvanize Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education – part-time and full-time training in software engineering and data science Workspace – whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth Networking – events in the tech industry happen constantly on our campuses, ranging from popular Meetups to multi-day international conferences Email me if you've more questions --> [masked]

  • Data Science Demo Day

    Galvanize

    Join us at Galvanize Austin for project demos from Data Science students! RSVP here: https://www.eventbrite.com/e/data-science-demo-day-galvanize-austin-tickets-59460489926 Over our three-month immersive, the Galvanize Data Science curriculum challenges students to solve real business problems, using real-world data sets, that culminate in a final capstone project. Delve into these projects and see how Galvanize students use the full data science stack - data munging, exploration, modeling, validation, visualization, and communication - to solve real business problems. Enjoy food and drinks as you mingle with data science and data engineering candidates while learning about their skils and applications. You don't want to miss it! Data Science Immersive Graduates: Our students have backgrounds ranging from industrial engineering to physics, mathematics to marketing, and they all came to Galvanize to level up their skills to become data scientists. This showcase will be driven by the diversity, quality, and ingenuity of our student projects, and whether this is the first or the next time you are joining us, you will leave impressed and inspired. Hiring Partners: Our focus at Galvanize is on serving our students, so we don't charge recruiting fees. There is no fee to attend this event, nor does Galvanize charge a placement fee. We'd love to have you give back and help us build the community through guest lectures, hosting a project, or contributing to our diversity scholarship fund. Not hiring currently? No worries. Come and enjoy the event anyway. It's always a great time. Questions regarding the capstone portion can be directed to our Career Services Manager: [masked] Parking Galvanize is located on the corner of Nueces St. and 2nd. Street parking is available as well as building parking which is $5, if you park after 6pm.

  • Data Science Salon Preview with ScaleFactor and datadotworld

    Join us for an preview of what to expect at DSS in February. 6:30pm - 7:00pm | Networking, Pizza & Beer 7:00pm - 7:30pm | Elizabeth Chabot, Data Scientist at Scale Factor 7:30pm - 8:00pm | Patrick McGarry, Head of Data Community at Data.World - Workshop Preview, How to Build a Data-Driven Culture 8:00pm - 8:30pm | Networking, Pizza & Beer

  • Introduction to Machine Learning with Python

    Machine Learning is at the intersection of computer science and statistics. The growth of the open data movement along with increased computing power has really fueled the growth in various areas of machine learning. It’s a must-have skill for all aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions. Learn more and sign up here: https://www.eventbrite.com/e/galvanize-austin-introduction-to-machine-learning-with-python-tickets-51029010143

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  • Taste of PIE-thon

    Galvanize

    Interested in Data Science? Love PIE? Looking to gain some understanding of Python? Join us at Galvanize on Tuesday, January 9, for a live demo of how Python can be used in data science with a slice of pie! **Parking in the Northshore Garage is $5 after 6 PM** Find more info and sign up here: https://austinstartupweek2018.sched.com/event/GAAZ

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