This event is co-hosted with the Ann Arbor Machine Learning meetup group.
A Study Jam is a collective learning program combining practical developer experience with Google Cloud expertise. Like-minded developers come together to hone their skills and further their cloud knowledge through interactive classrooms and hands-on labs.
This particular study jam will introduce the concepts of machine learning (ML) and natural language processing (NLP), as well as how to use Google Cloud Platform (GCP) to perform some general tasks within NLP.
We’ll start the day off with a light continental style breakfast. Then we will dive into our hands-on experience with Language Processing with GCP. Keith Bourne of Gradient Valley, as well as Pooja Ramesh, a data science graduate student at Wayne State University, will lead us through the approximately 5 hours of content Google is providing in these areas:
- Could ML Engine: Qwik Start
- Google Cloud Speech API: Qwik Start
- Cloud Natural Language API: Qwik Start
- Entity and Sentiment Analysis with Natural Language API
- Speech to Text Transcription with the Cloud Speech API
- Actionable AI insights using Translation and Natural Language
Around noon, we will take a break and serve lunch, and we will wrap up the training before 3pm. After the Study Jam, you’ll receive 30-days free access to the entire Qwiklabs catalogue, so you can keep developing your skills at home. Complete all of the labs in the session’s quest, and you’ll earn an additional free month of access to Qwiklabs as well as a badge for your online profile.
Bring a laptop and charger (PC, Mac or Chromebook)! The labs will run on all of the latest versions of popular browsers. For the best experience, make sure your laptop has Firefox or Chrome installed. Don’t forget your charger.
Please go to www.GDGAnnArbor.org and join the slack prior to the event as we will us a special slack channel for day of communications.
About our organizers:
Keith Bourne is the President and co-founder of Gradient Valley, focused on machine learning strategy consulting and development. He has been on the forefront of cutting-edge technology since the 90’s, with extensive management and technical experience in web, mobile, and machine learning. His focus has been on all aspects of building and selling incredible technology products and services, including a deep knowledge of user experience, agile programming methods, technology marketing, and most of the most popular programming languages and their capabilities. He has served in diverse roles in high growth start up environments that have raised $10’s of millions in revenue and funding, including Senior Software Engineer, Marketing Director, Chief Operations Officer, and Founder/Chief Executive Officer.
Pooja Ramesh is a graduate student at Wayne State University pursuing a Master of Science in Data Science and Business Analytics, focused on exploring and analyzing big data for actionable insights and mapping out business objective for a variety of clients and worthy causes. Prior to her role as a graduate student, Pooja worked for 3 years as a Risk Analyst, facilitating regulatory obligations on behalf of Goldman Sachs.
120 East Huron Street, Ann Arbor, MI