Track: Machine Learning 2.0
Day of week:
Machine Learning has made our lives more productive from hailing a ride via Uber’s advanced ML-driven rider and driver matching, or Google Now predicting information you’d need before you need it. Machine learning has also made our lives safer allowing people to rent strangers’ houses via Airbnb or reducing the risk of fraud during online purchases. Recent advances in deep learning have brought more new technologies within our reach including self-driving cars, machine translation, predicting weather several years ahead, automated stock trading and more! In this track, come hear from practitioners about some interesting applications of machine learning and recent practical advances in deep learning.
by Arshak Navruzyan
While many organizations have amassed large collections of unlabeled image data, they often lack the machine learning expertise required to turn this data into useful knowledge and applications. What if there was an approach that allowed product managers to turn the latest deep learning advancements into production applications without the need to write code? With pre-trained models and an intuitive user-interface, we can enable non-engineers to apply modern deep learning capabilities to...
by Soups Ranjan
Director of Data Science @Coinbase
Coinbase is the one of the largest digital currency exchanges in the world. We store about $1B of digital currency (bitcoin, litecoin, ether) on behalf of our users. Given the instant nature of digital currency and that it can't be reversed, we have one of the hardest payment fraud and security problems in the world. We are hit by the most sophisticated scammers constantly and consequently we are at the forefront of the fight against fraudsters and hackers. We've witnessed and solved...
Monday, 26 June
High Velocity Dev Teams
Working Smarter as a team. Improving value delivery of engineers. Lean and Agile principles.
Innovations in Fintech
Technology, tools and techniques supporting modern financial services.
Java - Propelling the Ecosystem Forward
Lessons from Java 8, prepping for Java 9, and looking ahead at Java 10. Innovators in Java.
Microservices: Patterns & Practices
Practical experiences and lessons with Microservices.
Modern Clientside Apps
Reactive, cross platform, progressive - webapp tech today.
Tuesday, 27 June
Architectures You've Always Wondered about
Case studies from the most relevant names in software.
Building Security Infrastructure
How our industry is being attacked and what you can do about it.
Chaos & Resilience
Failures, edge cases and how we're embracing them.
Developer Experience: Level up your engineering effectiveness
Trends, tools and projects that we're using to maximally empower your developers.
Stream Processing at Large
Rapidly moving data at scale.
Wednesday, 28 June
Immutable Infrastructures: Orchestration, Serverless, and More
What's next in infrastructure. How cloud function like lambda are making their way into production.
Machine Learning 2.0
Machine Learning 2.0, Deep Learning & Deep Learning Datasets.
Modern CS in the Real World
Applied, practical, & real-world dive into industry adoption of modern CS.
Next Gen APIs: Designs, Protocols, and Evolution
Practical deep-dives into public and internal API design, tooling and techniques for evolving them, and binary and graph-based protocols.
Maximizing your impact as an engineer, as a leader, and as a person.