Track: Machine Learning: The Latest Innovations

Location: Whittle, 3rd flr.

Day of week: Tuesday

AI and machine learning is more approachable than ever. Discover how ML, deep learning, and other modern approaches are being used in practice.

Track Host: Jay Alammar

VC and Machine Learning Explainer @STVcapital

Through his blog and lessons on Udacity, Jay has helped tens of thousands of people wrap their heads around complex machine learning topics. Jay harnesses a visual, highly-intuitive presentation style to communicate concepts ranging from the most basic intros to data analysis, interactive intros to neural networks, to dissections of state-of-the-art models in Natural Language Processing. Jay is a Partner at STV, a $500m tech venture capital fund.

10:35am - 11:25am

Accuracy as a Failure

When you see a green light, will you cross the street? Or will you still check for cars?

When your machine learning model has demonstrated high accuracy, do you push it to production?

This talk contains cautionary tales of mistakes that might happen when you let your data scientists on a goose chase for accuracy. It may suprise you, but highly accurate models are more damaging than the inaccurate ones. I will also share some work that my team is doing to make sure that chatbots don't fall into this trap.

Vincent Warmerdam, Algorithm Designer @GoDataDriven

11:50am - 12:40pm

Visual Intro to Machine Learning and Deep Learning

Break into machine learning with this gentle and intuitive journey through central concepts in machine learning -- from the most basic models up to the latest cutting edge deep learning models. This highly visual presentation will give you the mental map of ML prediction models and how to apply them to real-world problems with plenty of examples from existing businesses and products.

Machine learning is rapidly advancing and, in its path, transforming industries and careers.  It enables software to solve certain problems that have vexed other approaches. Yet, even for software engineers, getting started with machine learning can be confusing and overwhelming. But trust me, you've got this. The central concepts are much easier than they might appear at first.  Whether you want to take the first steps into the field or accelerate your understanding of practical models and their applications, this talk is for you.

Jay Alammar, VC and Machine Learning Explainer @STVcapital

1:40pm - 2:30pm

Machine Learning

Details to follow.

2:55pm - 3:45pm

Machine Learning Open Space

Details to follow.

4:10pm - 5:00pm

AI/ML

Session details to follow.

Andrew Trask, PhD @UniofOxford

5:25pm - 6:15pm

Machine Learning

Tracks

  • Architectures You've Always Wondered About

    Hard-earned lessons from the names you know on scalability, reliability, security, and performance.

  • Machine Learning: The Latest Innovations

    AI and machine learning is more approachable than ever. Discover how ML, deep learning, and other modern approaches are being used in practice.

  • Kubernetes and Cloud Architectures

    Learn about cloud native architectural approaches from the leading industry experts who have operated Kubernetes and FaaS at scale, and explore the associated modern DevOps practices.

  • Evolving Java

    JVM futures, JIT directions and improvements to the runtimes stack is the theme of this year’s JVM track.

  • Next Generation Microservices: Building Distributed Systems the Right Way

    Microservice-based applications are everywhere, but well-built distributed systems are not so common. Early adopters of microservices share their insights on how to design systems the right way.

  • Chaos and Resilience: Architecting for Success

    Making systems resilient involves people and tech. Learn about strategies being used, from cognitive systems engineering to chaos engineering.

  • The Future of the API: REST, gRPC, GraphQL and More

    The humble web-based API is evolving. This track provides the what, how, and why of future APIs.

  • Streaming Data Architectures

    Today's systems move huge volumes of data. Hear how the innovators in this space are designing systems and leveraging modern data stream processing platforms.

  • Modern Compilation Targets

    Learn about the innovation happening in the compilation target space. WebAssembly is only the tip of the iceberg.

  • Leaving the Ivory Tower: Modern CS Research in the Real World

    Thoughts pushing software forward, including consensus, CRDT's, formal methods & probabilistic programming.

  • Bare Knuckle Performance

    Crushing latency and getting the most out of your hardware.

  • Leading Distributed Teams

    Remote and distributed working are increasing in popularity, but many organisations underestimate the leadership challenges. Learn from those who are doing this effectively.

  • Driving Full Cycle Engineering Teams at Every Level

    "Full cycle developers" is not just another catch phrase; it's about engineers taking ownership and delivering value, and doing so with the support of their entire organisation. Learn more from the pioneers.

  • JavaScript: Pushing the Client Beyond the Browser

    JavaScript is not just the language of the web. Join this track to learn how the innovators are pushing the boundaries of this classic language and ecosystem

  • When Things Go Wrong: GDPR, Ethics, & Politics

    Privacy, confidentiality, safety and security: learning from the frontlines, from both good and bad experiences

  • Growing Unicorns in the EU: Building, Leading and Scaling Financial Tech Start Ups

    Learn how EU FinTech innovators have designed, built, and led both their technologies and organisations.

  • Building High Performing Teams

    There are many discussions outlining the secret sauce of high-performing teams. Learn how to balance the essential ingredients of high performing teams such as trust and delegation, as well as recognising the pitfalls and problems that will ruin any recipe.

  • Scaling Security, from Device to Cloud

    Implementing effective security is vitally important, regardless of where you are deploying software applications