What we're about

Edmonton's Google Cloud Developer Group - GDG Cloud Edmonton (https://gdgedmonton.com/) is an official chapter of Google’s worldwide network of cloud enthusiasts, developers, data scientists and cloud engineers.

As a fast-growing developer's community, we help our members to advance their technical skills, network and career. We organize study jams to learn the latest Google products such as Google Cloud, TensorFlow, Android, Firebase, and Flutter. We also organize technology events and organize courses on Data Science and Cloud Technologies.

Volunteers are the heart of our team. We are always looking for individuals who are excellent in their respective fields and also know how to have fun. If you are ready to be a part of this proud team, please take a few minutes and submit the application HERE (https://forms.gle/gmXyiSMb9DPVYd8G8)!

Disclaimer: GDG Cloud Edmonton is an independent group. To learn more about the GDG program, visit the GDG website (https://developers.google.com/groups/).

Upcoming events (3)

Machine Learning Bootcamp

Online event

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. In this class, you will learn about the most effective machine learning techniques nowadays. More importantly, you'll learn about not only the theoretical underpinnings of learning but also the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. Lecture Time: Sundays 1:00 - 4:00 MDT Oct 4 to Nov 15, 2020 (Except the Thanksgiving long weekend) Registration: Register on Eventbrite via https://www.eventbrite.ca/e/machine-learning-bootcamp-tickets-122118486681. The lecture meeting link will be sent to the members after Eventbrite registration. Registration is full and closed now. The lectures are free and we will take a $30 deposit (for GDG Cloud Edmonton members) and a $50 deposit (for non-members). The deposit will be fully refunded (except Eventbrite’s processing fee) if the participants sign up to teach one topic with the course leaders; or attend all course sessions. Why take this course: - Mentorship opportunity with experienced Data Scientists - Theoretic + hands-on coding labs - Engage and help to build a strong local DS community Head Instructor: Daniel Ma (Statistics Canada) Course Leaders: - Chris Chen (Imperial oil ) - Tim Gilbertson (Enverus) - Mehrshad Esfahani (ExxonMobil) - Leyuan Yu (Manulife) - Rohan Saha (UofA) - Hasan Badran (ATB Financial) Course structure: This course consists of 6 topics and each lecture (3 hours) will be delivered by a course leader teamed up with two other course participants. Each topic consists of two parts, including a theoretical framework and hands-on code labs on how to apply the ML methods in Python. Covered topics: Week 1 (Oct 4): Python Basics: Pandas Data Analysis & Visual Data Analysis Week 2 (Oct 18): Linear Models & Andrew Ng’s ML (2.1 - 4.6) Week 3 (Oct 25): Supervised Learning: Decision Trees, Random Forests & Bagging Week 4 (Nov 1): Supervised Learning: Boosting (Gradient Boost, Adaboost, XGboost) Week 5 (Nov 8): Supervised Learning: SVM, Naive Bayes, KNN Week 6 (Nov 15): Unsupervised Learning: Clustering, Dimensionality Reduction, Recommender systems, Deep Learning Course materials: - Yorko’s ML course - Andrew Ng’s ML course - Theoretic references - An Introduction to Statistical Learning and The Elements of Statistical Learning Prerequisite: - Strong will to learn Python (experience with programming in C/C++/Matlab/Java/Javascript/R can be helpful) - College-level calculus and linear algebra - Basic knowledge in probability and statistics

Machine Learning Bootcamp

Online event

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. In this class, you will learn about the most effective machine learning techniques nowadays. More importantly, you'll learn about not only the theoretical underpinnings of learning but also the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. Lecture Time: Sundays 1:00 - 4:00 MDT Oct 4 to Nov 15, 2020 (Except the Thanksgiving long weekend) Registration: Register on Eventbrite via https://www.eventbrite.ca/e/machine-learning-bootcamp-tickets-122118486681. The lecture meeting link will be sent to the members after Eventbrite registration. Registration is full and closed now. The lectures are free and we will take a $30 deposit (for GDG Cloud Edmonton members) and a $50 deposit (for non-members). The deposit will be fully refunded (except Eventbrite’s processing fee) if the participants sign up to teach one topic with the course leaders; or attend all course sessions. Why take this course: - Mentorship opportunity with experienced Data Scientists - Theoretic + hands-on coding labs - Engage and help to build a strong local DS community Head Instructor: Daniel Ma (Statistics Canada) Course Leaders: - Chris Chen (Imperial oil ) - Tim Gilbertson (Enverus) - Mehrshad Esfahani (ExxonMobil) - Leyuan Yu (Manulife) - Rohan Saha (UofA) - Hasan Badran (ATB Financial) Course structure: This course consists of 6 topics and each lecture (3 hours) will be delivered by a course leader teamed up with two other course participants. Each topic consists of two parts, including a theoretical framework and hands-on code labs on how to apply the ML methods in Python. Covered topics: Week 1 (Oct 4): Python Basics: Pandas Data Analysis & Visual Data Analysis Week 2 (Oct 18): Linear Models & Andrew Ng’s ML (2.1 - 4.6) Week 3 (Oct 25): Supervised Learning: Decision Trees, Random Forests & Bagging Week 4 (Nov 1): Supervised Learning: Boosting (Gradient Boost, Adaboost, XGboost) Week 5 (Nov 8): Supervised Learning: SVM, Naive Bayes, KNN Week 6 (Nov 15): Unsupervised Learning: Clustering, Dimensionality Reduction, Recommender systems, Deep Learning Course materials: - Yorko’s ML course - Andrew Ng’s ML course - Theoretic references - An Introduction to Statistical Learning and The Elements of Statistical Learning Prerequisite: - Strong will to learn Python (experience with programming in C/C++/Matlab/Java/Javascript/R can be helpful) - College-level calculus and linear algebra - Basic knowledge in probability and statistics

DevFestAB: Let's Build the Pipelines of the Future!

Needs a location

PLEASE RSVP USING THE LINK BELOW https://gdg.community.dev/events/details/google-gdg-cloud-edmonton-presents-devfestab-lets-build-the-pipelines-of-the-future/ DevFestAB is Here! DevFestAB brings developers from across Alberta and around the globe to learn with the world’s top Google Cloud experts. Pipelines… the Future of Alberta! Not those pipelines... digital pipelines! 💎 Data Pipelines: Process and upgrade data and ML models! ⚙️ CI/CD Pipelines: Deliver code and infrastructure changes faster! 📦 Migration Pipelines: Migrate workloads efficiently, at scale! 🛡️ Security Pipelines: Secure your assets and reduce cost and complexity. 🚀 Talent Pipelines: Advance your cloud career with programs from Google. Bigger than big. Canada's largest Google Cloud Festival is back for 2020. Building on the success of the annual DevFestYYC, DevFestAB is bigger than ever! 500+ attendees 20+ Experts Digital door Prizes! Let's step into the future, Together! DevFestAB brings Alberta’s leading Startup and Enterprise developers, architects, data scientists and operations professionals together with world-class and local speakers to build the pipelines of the future! Agenda --- Hosted By Wenfei Zhang, GDG Organizer Will Zhang, GDG Organizer Xinli Cai, GDG Organizer I am currently a Data Scientist at Natural Resources Canada. My domain expertise is wildfire science, with a strong understanding of statistical analyses and machine learning. My recent projects are around spatial wildfire danger mapping, predicting extreme fire weather events with deep learning, and downscaling precipitation with deep super-resolution. Currently, I am also finishing up my second MSc in Computer Science at the University of Alberta. Outside of work, I co-founded the Google Developer's Group (GDG) Cloud Edmonton, one of the fastest-growing developers' communities in Alberta. I am looking forward to meeting more interesting people and building the Alberta Developers’ community together! GDG Cloud Edmonton, GDG Organizer Kari Viccars, GDG Organizer Natasha Rogers, Organizer --- PLEASE RSVP USING THE LINK BELOW https://gdg.community.dev/events/details/google-gdg-cloud-edmonton-presents-devfestab-lets-build-the-pipelines-of-the-future/

Past events (23)

Machine Learning Bootcamp

Online event

Photos (158)