A Day in the Life of a Data Scientist Conquer Machine Learning Lifecycle on Kubernetes Brian Redmond • Cloud Architect @ Microsoft (18 years) • Azure Global Black Belt Team • Live in Pittsburgh, PA Repeatable/consistent • CI/CD • This has worked well for App Dev. Now time for AI/ML • But, must ensure data scientist are not hindered by structure Why Containers, Kubernetes & Helm? • Container • Contains everything

developing world, why it matters Mathew Benson About Me • I like C++! • I am a Graduate Computer Scientist(since 2007) • I have been working with and researching on computers and programming and how to practically measurements. It was born of my reflections after a long hard journey working with software both as a scientist, developer and as a user. 4• So I may not have some hard numbers, but I seek to appeal to our reflection One of us Must be as welcoming as possible to new users. • We need the perfomance benefits of C++ applied to where it matters most i.e. on Older, Cheaper Hardware to make computing more accessible to more

prompts) is the input the model uses to predict a specific output. You don’t need to be a data scientist or a machine learning engineer – everyone can write a prompt. However, crafting the most effective and can hinder the model’s ability to provide meaningful output. You don’t need to be a data scientist or a machine learning engineer – everyone can write a prompt. Prompt Engineering February 2025 the top-K and top-P criteria are candidates for the next predicted token, and then temperature is applied to sample from the tokens that passed the top-K and top-P criteria. If only top-K or top-P is available

specific insight, idea, or proprietary knowledge. It reflects how much that knowledge could be worth if applied effectively, even if it hasn’t yet generated revenue. Source: Microsoft, ‘Governing AI: A Blueprint Stanford computer scientist John McCarthy convenes the Dartmouth Conference on ‘Artificial Intelligence,’ a term he coined 1/62: Arthur Samuel, an IBM computer scientist, creates a self-learning Journal of Medicine Ambient artificial intelligence (AI) scribes, which use machine learning applied to conversations to facilitate scribe-like capabilities in real time, [have] great potential to

industry. 2. We plan to build TVM team in China, based in Shanghai, Beijing and Shenzhen. 1. Applied Scientist and SDE positions 2. Internship for students interested in ML system. 3. Research & Development

language be easy to describe, to learn, and to implement. On the other hand, these concepts have been applied “orthogonally” in order to maximize the expressive power of the language while trying to avoid Algorithmic Language ALGOL 68, section 0.1.2, Orthogonal design Dutch mathematician and computer scientist: • Numerical analysis • Programming languages • Design principles • Essential for design of complex How It Works™, and possible variations) • Is Highly Robust (correctly, properly, and robustly applied because we know what it solves and how to defend against edge cases) Thread-Stealing Work Queue

browsers give it a monospaced font. That's typically the only thing that browsers do. This is the CSS applied by Chrome: code { font-family: monospace; } This tag is typically wrapped in a pre tag small tag the i tag the b tag This is an example of the visual rendering of them which is applied by default by browsers: You might wonder, how is b different than strong ? And how i is different live with). 63 The misspelling of referrer originated in the original proposal by computer scientist Phillip Hallam-Baker to incorporate the field into the HTTP specification. The misspelling was

it presents to avoid undefined behavior in the C programs you write.” — Pascal Cuoq, Chief Scientist, Trustinsoft “An excellent introduction to modern C.” — Francis Glassborow, ACCU … “This is being Just Wrong” Not undefined  no time travel, or leaked secrets! A general tool, but first applied to… Reading uninitialized local variables is not undefined behavior in C++26! A C++26 compiler

Validity David Sankel | Principal Scientist CppCon 2023© 2023 Adobe. All Rights Reserved. Adobe’s Software Technology Lab Sean Parent Senior Principal Scientist Manager, Software Technology Lab Adobe Principal Scientist Software Technology Lab Adobe’s C++ Standardization Lead Dave Abrahams Principal Scientist Software Technology Lab Hylo Language Co-creator Nick DeMarco Senior Computer Scientist Software

Principal Scientist Manager, Software Technology Lab Adobe Veteran David Sankel Principal Scientist Software Technology Lab Adobe’s C++ Standardization Lead Dave Abrahams Principal Scientist Software Software Technology Lab Hylo Language Co-creator Nick DeMarco Senior Computer Scientist Software Technology Lab Photoshop iPad Async Dev Education Tooling/ Libraries ResearchDocumentation > Code