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April 2017

Galvanize Partner Event with Phoenix DevOps : Working in DevOps

April 25 @ 7:00 pm - 9:00 pm
515 East Grant Street
Phoenix, AZ 85004 United States

Description : This month, we're going to have a panel-style discussion on "Working in Devops". The panel will consist of Stephen Kuenzli, Neil Shah, and Will Button. Between the three of us, we represent a wealth of experience in DevOps from a software engineering perspective, an operations perspective, and a hiring perspective. By attending this meetup you will learn  • what it's like to work in DevOps • how to enhance your current skills • and what employers are looking for in the…

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Introduction to HTML & CSS by Galvanize Evangelist Chris Huie

April 26 @ 6:00 pm - 8:00 pm
515 East Grant Street
Phoenix, AZ 85004 United States

Description:      You will learn the basics of multi-page web development using HTML and CSS. You will have the newfound skill set to coding your own static webpage and styling that webpage to be visually appealing.  Course topics include: Learn the relationship between HTML & CSS Build web pages that include images, text, links, and other design elements Schedule: 6:00pm - 6:30pm : Meet, Eat, and Greet6:30pm - 6:45pm : Introduction and announcements6:45pm - 8:00pm : Learn HTML and CSS…

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Speed Networking with Recruiters: Network your way to a Job

April 26 @ 6:00 pm - 9:00 pm
44 Tehama Street
San Francisco, CA 94103 United States

Are you looking for a job or looking to transition into a new career? Would you like to connect with recruiters and get advice on your jobsearch and learn more about their company, job openings? Have you ever attended career events and didn't ger a chance to speak with all the recruiters present? Join us for our  Recruiter Speed Networking Event where you will get face time with a variety of recruiters and get advice on your jobsearch The evening…

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Building Intelligent Machine Learning Applications: Real-World Use Cases (4.26)

April 26 @ 6:30 pm - 8:30 pm
Galvanize Seattle,
111 South Jackson Street
Seattle, WA 98104 United States

This months talknight will showcase two speakers who will talk about their experiences building machine learning applications including why they chose the models they did, what technologies they used and their experiences deploying their apps. Emre Ozdemir Ph.D., is a Data Scientist with a background in Nuclear, Mechanical and Aerospace Engineering. Emre's talk will cover his project called WOTS, a Python NLP based real-estate recommender that helps users purchase their dream home in Seattle. Stephanie Peña is a Data Scientist…

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Big Data & Analytics Presents: Big Data Cloud – IoT – Streaming Analytics

April 27 @ 6:00 pm - 9:00 pm
Denver – Platte,
1644 Platte Street
Denver, CO 80201 United States
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Join Big Data Analytics for the official Denver Big Data & Analytics Learning Series event on Thursday, April 27th from 6pm-9pm at Galvanize Golden Triangle (1062 Delaware St, Denver, CO 80204) The network reception is from 6:00pm to 6:30pm on the fourth floor in the Grand Colonnade featuring Open Bar & Hors D’oeuvres. The 3 presentations and panel discussion take place from 6:30pm to 8:55 pm, then the Closing Ceremony includes prizes & giveaways.

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PuPPy Programming Night

April 27 @ 6:30 pm - 9:00 pm
|Recurring Event (See all)
Weekly on the same day until January 22, 2018
Galvanize – Pioneer Square Seattle,
111 S Jackson Street
Seattle, WA 98104 US

Hello Pythonista! Come to work on your Python project, join a project, discuss Python-things, get help or give help. Bring hardware, software or anything that you’re enjoying working on. Please sign in under "Lee Ngo" at the front desk when you arrive and then come join us in the 4th Floor coworking space. We ask that attendees show up no earlier than 30 minutes prior to the beginning of the meetup to allow Galvanize time to fully prepare for our…

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Downtown Denver Tech Interview Meetup

April 27 @ 6:30 pm - 8:30 pm
Denver – Golden Triangle,
1062 Delaware Street
Denver, CO 80204 United States
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1) Choose Data Structures, Algorithms, or Coding. Easy, or Not So Easy. 2) Then you go through a mock interview. 3) Discover what you didn't know, that you didn't know.

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Learn Data Science Crashes Analytics Club : Let’s talk Data Visualization!

April 27 @ 7:00 pm - 9:00 pm
515 East Grant Street
Phoenix, AZ 85004 United States

Description : 79% of data science time is lost to finding, cleaning, and organizing data. In this talk we'll explore emerging technologies in data virtualization that simplify data management and free data scientists to focus on analysis. Data virtualization is a family of techniques that make identical data available to multiple users across varied platforms. We'll provide an overview of key technologies like Parquet, S3, Arrow, Spark, and data packages. About our Speaker : Aneesh Karve is co-founder and Chief Technology…

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Music + Tech Discovery Night

April 28 @ 6:30 pm - 9:00 pm
Galvanize Austin,
118 Nueces Street
Austin, TX 78701 United States

Discover Austin Music Technology Two defining words in Austin culture: MUSIC & TECHNOLOGY. But how often do you hear the two words used together? Music and technology startups in Austin are blending jams and technology, artists and software developers, and musicians and data to empower the music industry in new and ground breaking ways. Join us for a night of music, technology and new experiences! Discover the companies that are changing how independent musicians are paid, how concerts are marketed…

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Introduction to Deep Learning with Keras, Tensorflow and Scikit-Learn

April 29 @ 9:00 am - 4:00 pm
Galvanize San Francisco,
44 Tehama Street
San Francisco, CA 94105 US

This event is co-hosted by: CrowdFlower and Galvanize About the Workshop: Machine learning and especially deep learning is rapidly becoming prevalent in products we use every day. Scikit-learn is a fantastic toolkit to get started on making real world models in Python. It’s powerful and very easy to deploy. The best part of Scikit-learn for those who aren’t very strong in mathematics is that no math background is necessary. Once we build some traditional models, we'll move on to keras and tensorflow, excellent tools…

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