Machine Learning with Google Cloud

<!--HTML--><p><span><span><span style="color:#333333">Everyone’s talking about machine learning, and not long ago, we spent significant time setting up and building tools from scratch before data capturing and processing begins for ML. We’ve seen revolutionary changes in the hardware and software that are making ML accessible for any developer or data scientist. I'll step through the tools Google Cloud provides including data storage, data processing, APIs and TensorFlow. You'll have an understanding of what options exist in any cloud platform and real world applications.</span></span></span></p> <p><strong><span><span><span style="color:#333333">About the speaker</span></span></span></strong></p> <p><span><span><span><span style="color:black">Melanie Warrick is a Developer Relations Engineer for ML and the Cloud at Google and speaks frequently about AI and ML including co-hosting the weekly GCP Podcast. She was a founding engineer on a Java based deep learning platform prior to Google and worked on machine learning engineering at Change.org. In another life she had a comprehensive consulting career leading teams both domestic and international and before that she was working behind the scenes in the film industry. </span></span></span></span></p>