Workshop: [SOLD OUT] Machine Learning & AI: Core Techniques Workshop
With Python, TensorFlow and a plethora of other open source tools, anyone with a computer can run machine learning algorithms in a jiffy! However, without an understanding of which algorithms to choose and when to apply a technique, most machine learning efforts turn into trial and error experiments with conclusions like “The algorithms don’t work” or “Perhaps we should get more data”.
In this workshop, we will focus on the key tenets of machine learning algorithms and how to choose an algorithm for a problem. Rather than just showing how to run experiments in Python or TensorFlow, we will provide an intuitive understanding to machine learning with just enough mathematics and basic statistics.
What you’ll Learn:
- Machine Learning: An intuitive foundation
- The Machine Learning pipeline
- Supervised Learning: Classification and Prediction
- Machine learning methods: Regression, KNN, Random Forests, Neural Networks
- Evaluating performance
- Case study 1: Predicting interest rates in Freddie Mac mortgage data
- Case study 2: To give a loan or not using Lending club data
2019 Tracks
Monday, 24 June
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Architectures You've Always Wondered About
Hard earned lessons from names you know on scalability, reliability, throughput, and performance.
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Modern CS in the Real World
Thoughts pushing software forward, including consensus, CRDTs, formal methods, & probabilistic programming.
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Machine Learning for Developers
Machine learning is more approachable than ever. Learn techniques and use cases with PyTorch, Keras and TensorFlow that will become foundational for moderan application developers.
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Developing/Optimizing Clients for Developers
Electron, Flutter, JavaScript, GraphQL, Node/NPM. Web Workers, Wasm, WebVR, Speech/Alexia/Pipeline. More topics than room in this modern UI tech track.
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Human Systems: Hacking the Org
Innovative approaches to organizational leadership and management to build unique company cultures.
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Speaker AMAs (Ask Me Anything)
Tuesday, 25 June
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Microservices / Serverless (Patterns & Practices)
Evolving, observing, persisting, operating, and building modern architectures.
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Modern Java Innovations
6 month cadence, cloud-native deployments, scale, Graal, Kotlin, and beyond. Learn how the role of Java as it is evolves for the next 20 years.
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Data Engineering for the Bold
Explore the power of data systems & architectures
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Non-Technical Skills for Technical Folks
Good engineers are great programmers. Amazing engineers are great collaborators.
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Trust, Safety, & Security
Privacy, confidentiality, safety, security: Learnings from the frontlines
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Speaker AMAs (Ask Me Anything)
Wednesday, 26 June
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Architecting for Success when Failure is Guaranteed
More than just building software, building deployable production ready software in the face of guaranteed failure.
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21st Century Languages
Lessons learned from building languages like Rust, Go-lang, Swift, Kotlin, and more.
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Building High-Performing Teams
What “high-performing team” means and how to build one effectively depends on context. This track will share different experiences of building high-performing teams in order to highlight how different contexts lead to different solutions but also what typically stays the same because we’re still dealing with humans trying to work together. How do different forces affect the building of high-performing teams.
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Software Defined Infrastructure: Kubernetes, Service Meshes, & Beyond
Deploying, scaling, managing your services is undifferentiated heavy lifting. Hear stories, learn techniques, and dive deep into software infrastructure.
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High-Performance Computing: Lessons from FinTech & AdTech
Killing latency and getting the most out of your hardware.
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Speaker AMAs (Ask Me Anything)