Brian Sletten

Machine Learning Workshop

Monday, 9:00 AM EST

Machine Learning is all the rage, but many developers have no idea what it is, what they can expect from it or how to start to get into this huge and rapidly-changing field. The ideas draw from the fields of Artificial Intelligence, Numerical Analysis, Statistics and more. These days, you'll generally have to be a CUDA-wielding Python developer to boot. This workshop will gently introduce you to the ideas and tools, show you several working examples and help you build a plan to for diving deeper into this exciting new field.

We will cover:

• The differences between data science, AI and machine learning
• The Five Tribes of Machine Learning (as defined by Pedro Domingos)
• Walkthroughs of some of the main algorithms
• Examples in Java, R and Python
• Tools such as Tensorflow and Pytorch
• The impact of GPUs on machine learning
• Stories about how companies are being successful with machine learning
• A discussion about the likely impacts of machine learning on the job market and society

Machine Learning Strategies

Tuesday, 8:30 PM EST

Machine Learning is a key differentiator for modern organizations, but where does it fit into larger IT strategies? What does it do for you? How can it go wrong?

This class will contextualize these technologies and explain the major technologies without much (if any) math.

We will cover:

• What organizations to get right before they can benefit from Machine Learning
• Learning styles and algorithms
• What can go wrong

Web Security Workshop

Wednesday, 3:15 PM EST

If you're not terrified, you're not paying attention.

Publishing information on the Web does not require us to just give it away. We have a series of tools and techniques for managing identity, authentication, authorization and encryption so we only share content with those we trust.

Before we tackle Web Security, however, we need to figure out what we mean by Security. We will pull from the worlds of Security Engineering and Software Security to lay the foundation for technical approaches to protecting our web resources. We will also discuss the assault on encryption, web security features and emerging technologies that will hopefully help strengthen our ability to protect what we hold dear.

Topics include:

• Security Engineering
• Software Security
• Encryption
• Authentication and Authorization Mechanisms
• Emerging Web Security Technologies

Web Security Workshop

Wednesday, 5:00 PM EST

If you're not terrified, you're not paying attention.

Publishing information on the Web does not require us to just give it away. We have a series of tools and techniques for managing identity, authentication, authorization and encryption so we only share content with those we trust.

Before we tackle Web Security, however, we need to figure out what we mean by Security. We will pull from the worlds of Security Engineering and Software Security to lay the foundation for technical approaches to protecting our web resources. We will also discuss the assault on encryption, web security features and emerging technologies that will hopefully help strengthen our ability to protect what we hold dear.

Topics include:

• Security Engineering
• Software Security
• Encryption
• Authentication and Authorization Mechanisms
• Emerging Web Security Technologies

Machine Learning Workshop

Thursday, 9:00 AM EST

Machine Learning is all the rage, but many developers have no idea what it is, what they can expect from it or how to start to get into this huge and rapidly-changing field. The ideas draw from the fields of Artificial Intelligence, Numerical Analysis, Statistics and more. These days, you'll generally have to be a CUDA-wielding Python developer to boot. This workshop will gently introduce you to the ideas and tools, show you several working examples and help you build a plan to for diving deeper into this exciting new field.

We will cover:

• The differences between data science, AI and machine learning
• The Five Tribes of Machine Learning (as defined by Pedro Domingos)
• Walkthroughs of some of the main algorithms
• Examples in Java, R and Python
• Tools such as Tensorflow and Pytorch
• The impact of GPUs on machine learning
• Stories about how companies are being successful with machine learning
• A discussion about the likely impacts of machine learning on the job market and society

Machine Learning Workshop

Thursday, 10:45 AM EST

Machine Learning is all the rage, but many developers have no idea what it is, what they can expect from it or how to start to get into this huge and rapidly-changing field. The ideas draw from the fields of Artificial Intelligence, Numerical Analysis, Statistics and more. These days, you'll generally have to be a CUDA-wielding Python developer to boot. This workshop will gently introduce you to the ideas and tools, show you several working examples and help you build a plan to for diving deeper into this exciting new field.

We will cover:

• The differences between data science, AI and machine learning
• The Five Tribes of Machine Learning (as defined by Pedro Domingos)
• Walkthroughs of some of the main algorithms
• Examples in Java, R and Python
• Tools such as Tensorflow and Pytorch
• The impact of GPUs on machine learning
• Stories about how companies are being successful with machine learning
• A discussion about the likely impacts of machine learning on the job market and society

Modern Software : WebAssembly in the Browser

Thursday, 1:30 PM EST

Our industry never stops changing, but sometimes those changes are trivia and fluffy. Sometimes they are fundamental and enduring. This series is going to highlight some of the most important trends happening in the hardware, software, data and architecture spaces.

While still new to most people, WebAssembly provides a formidable vision of safe, fast, portable code. Through clever choices and well-considered design, the basic vision allows us to target browsers as a platform using a variety of languages other than (but compatible with) Javascript. This technology coupled with advancements in the Web platform are setting up the future of Web-delivered applications to look more like (and likely to replace) desktop applications.

Modern software developers need to understand how just about every aspect of their industry is about to change.

We will cover:

• The history and development of the WebAssembly MVP
• An overview of what is possible in the browser including jaw-dropping demos
• The basics of interacting between JavaScript and WebAssembly modules
• A roadmap for the future of WebAssembly in the browser

The Decentralized Web

Thursday, 3:15 PM EST

While the Web itself has strong decentralized aspects to how it is used, the backend technologies are largely centralized. The naming systems, the routing systems and the traffic that all points back to the same place for a website are all centralized technologies. This creates both a liability as well as a control point.

In order to break free of some of these limitations, new technologies are emerging to provide a more decentralized approach to the Web.

This talk will walk you through some emerging technology to provide decentralized content storage and distribution, edge computing and more. We will touch upon the Interplanetary Filesystem, WebTorrent, Blockchain spin offs and more.