Edit: So here we are at Heatsync. I am going to run both session today. Feel free to come down and hangout for the day / afternoon session and I will be back this evening to make sure ant any night owls can get all of the resources as well. Free Lunch, Free Training, Free Stuff. Innovation. What does it mean? After looking at way too many definitions of the word, I noticed that virtually eve
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Edit:
So here we are at Heatsync. I am going to run both session today. Feel free to come down and hangout for the day / afternoon session and I will be back this evening to make sure ant any night owls can get all of the resources as well.
Free Lunch, Free Training, Free Stuff.
Innovation. What does it mean?
After looking at way too many definitions of the word, I noticed that virtually everyone one of them used the word "new". However, there's a flaw in using that to guide us because it makes us feel that to do something, anything, innovative, we must come up with something totally new and unrelated to anything that came before.
While it's true that we can find examples of completely revolutionary ideas throughout history, I believe that innovation, by and large, comes from putting together existing tools, ideas, and processes. This is especially true in machine learning and AI. The field is changing so fast, growing and shifting through the recombination of "new" ideas, tools, and processes.
We are going to focus on some of the tools that you can use to bring machine learning to your products and workflows. I look forward to what amazing "innovations" you bring to your field!
Along with this presentation, we have a Cloud StudyJam. Want to get started on Machine Learning, but don't know where to begin? Join us for our Cloud Study Jam! Get official Google training, a $55+ value, free of charge. Together we will work through several labs. You will get hands-on experience with Machine Learning Image Processing on Google Cloud, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of ML use cases and will get hands-on practice using solutions over the course of 5 labs. What is this like? Watch:
https://youtu.be/m0rqccviLNM
https://youtu.be/ZhQK0glTLg0
Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on GCP.
Then after our live session, you will have free access to more labs you can finish at home. Complete all labs in the quest and earn a Google-hosted badge for your online profile, and additional 30 days access to the training platform to complete any labs you want
Bring a laptop and charger (PC, Mac or Chromebook)! The labs will run on all of the latest versions of the popular browsers. For the best experience, make sure your laptop has Firefox or Chrome installed. Don’t forget your charger.
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