The Fast Forward Labs team will be traveling the world to give talks in March and April! Please join us and let us know if you’d like to meet one-on-one to discuss all things data science and machine learning at these events. You can reach us at email@example.com to schedule a meeting.
Hilary Mason on the Future of Data and Analytics
Hilary Mason, our CEO and Founder, will be very busy over the next couple of months. You can catch her giving talks on how businesses can make the most of their data at the following events:
- Data Summit 17 in Edinburgh, Scotland on March 24
- Vision Monday Global Leadership Summit in New York on March 29
- Marketing Analytics and Data Science Conference in San Francisco April 4
- Informs 2017 Business Analytics Conference in Vegas April 3
Mike Lee Williams on Building Products with Probabilistic Programming
Mike Lee Williams, our Director of Research, is giving two talks on Bayesian inference and probabilistic programming, our latest research topic. You can catch him at:
Micha Gorelick on Products and Prototypes with Keras
Micha Gorelick is giving a talk and an interactive workshop on building a working product with Keras, a high level deep learning framework at QCon London on March 7.
Friederike Schuur on Making Data Science Make Sense in Business
Friederike Schuur, our Researcher and Client Advising Lead, will speak about communication strategies to make data science relevant in businesses at the New York R Conference in New York on April 22
Kathryn Hume on Building AI Products
Finally, Kathryn Hume, our Director of Sales & Marketing, will provide a process enterprises can use to build strong AI products at the TDWI Accelerate Conference in Boston April 3-5. Her recent S4x17 keynote about machine learning and information security is featured below.
More from the Blog
Feb 9 2017
On Tuesday, we hosted an online talk with the Stan Group discussing why probabilistic programming is generating so much excitement in the fields of machine learning and statistics. In essence, probabilistic programming is a powerful tool to help organizations make rational decisions under uncertainty. Watching the recording, you will learn: What kinds of problems are a good fit for Bayesia...
Feb 27 2017
by — As mobile devices become central to our personal and professional lives, their security is more and more important. Passcodes in particular can be lost (or forcibly surrendered) to law enforcement. Recent research has focussed on behavioural authentication based on patterns of user interaction. This could provide an unintrusive authentication method that operates during normal use. Figure fr...
Sep 5 2019
by — Machine learning enables us to build systems that can predict the world around us: like what movies we’d like to watch, how much traffic we’ll experience on our morning commute, or what words we’ll type next in our emails. There are many types of models and tasks. Face detection models transform raw image pixels into high level signals (like the presence and position of eyes, noses, and ears) ...