"I've worked with some really amazing companies and projects over the past couple of years. I've created object detection mechanisms, I've created chat bots, I've created many robots that can self-drive themselves. I've even created real-time analytics for mobile game companies. All of this using TensorFlow, Google's latest and greatest machine learning library," said Sam Abrahams, TensorFlow expert and consultant.
Based on this experience and expertise, Sam developed a new course called Deep Learning with TensorFlow, which he'll start teaching at Metis in San Francisco later this month.
"TensorFlow is really powerful for a number of reasons," he continued during a recent interview. "It's more than just a deep learning or machine learning framework. It's a mathematical computation library. That means that it has the flexibility to be able to create and experiment with brand new models instead of just being stuck with out of the box models that some other libraries provide."
He expressed excitement about the upcoming course, which starts February 20th.
"I think everyone who takes the course is going to feel like they're right there on the edge of modern research and won't be intimidated by deep learning," he said. "More than that, I think everyone who takes this course is going to be thrilled with their ability to really take these incredible amounts of data and create brand new solutions for problems that are out there."
Watch the full interview above. Interested in hearing more from Sam? RSVP for his upcoming webinar, which takes place Wednesday, February 8th at 12:30 pm PDT. He will demonstrate how to load one of TensorFlow's pre-trained state-of-the-art image classification models, prepare it for deployment, and use it as part of a simple Flask web application.
As Viacom's Vice President of Analytics and Measurement Sciences, Sergey Fogelson uses machine learning and artificial intelligence techniques almost every day. In this Q&A, he discusses why he's excited to share his knowledge with students in our upcoming Live Online Machine Learning & Artificial Intelligence Principles course.
In this post, SwitchUp interviews Brendan Herger, a Metis Sr. Data Scientist based in San Francisco. Find out what he loves about teaching, about his passion for machine learning, and how he helped found Capital One's Center for Machine Learning.
Going through a data science bootcamp is an intense experience for everyone involved. Students work at a breakneck pace unparalleled in other learning environments, absorbing new and difficult concepts and skills, and applying them to projects starting as early as week one. All the while, instructors shoulder the hopes and fears of their cohorts as they guide and teach them over the course of 12 weeks. For interested individuals, teaching a bootcamp can have tangible career benefits related to industry goals and aspirations. Read how here.