"In this unique video package, renowned Perl author and speaker Peter Scott takes you through the fundamental elements of the Perl 5 language so that you have a strong foundation for creating robust Perl programs and learning more advanced aspects of the language. Even if you've never run a Perl program before, you'll learn what you need to know to get started on every popular platform. Scott advances through the language in a logical progression,...

Patterns in architecture are crucial to writing good software, and looking at distributed systems as a series of patterns is a useful way to gain insights into their implementation. Join us for a special recorded conversation with Neal Ford and ThoughtWorks principal consultant Unmesh Joshi to explore the core principles of patterns and see how they help provide a structured way of looking at a problem space. You'll examine common patterns and solutions...

Mariia Mykhailova, a Principal Software Engineer at Microsoft Quantum, introduces the quantum key distribution problem and describes the most famous quantum key distribution protocol - BB84 protocol, proposed by Charles Bennett and Gilles Brassard in 1984. She also talks about her liveProject covering the implementation of this protocol using Microsoft Quantum Development Kit.

When you think of programming languages, you probably think of Java, Kotlin, JavaScript, or Python, not CSS, SQL, or HTML. And you may not even have heard of Alloy, Modelica, or SNOBOL. But all are identified as languages, even if they're not generally considered as such. So what are the distinctions among them? And maybe most importantly, what can programmers learn from "not programming languages"? Join us for a special conversation on programming...

Sponsored by Intel Machine learning has grown significantly, and with it the footprint of ML models--which can make training, deploying, and monitoring difficult and expensive. What if you could make your ML models and systems more efficient, whether in the form of cost, compute, storage, latency, or carbon footprint? Join us for this Superstream where experts dive into techniques for using fewer resources and delivering better quality. About the...

Alessandro Negro, a Chief Scientist at GraphAware, explains how to apply graphs to machine learning projects such as recommendation engines and chatbots.

Get some clarity on MLOps, what it is, and what does it mean to be "doing MLOps" by using a maturity model. A maturity model allows you to accurately determine where in the process of applying MLOps best-practices your team is. In this video, I'll explain some of the challenges with MLOps and why it might be difficult to understand some of its processes. This knowledge gap is what the Practical MLOps book tries to address, by clarifying and simplifying...

4+ Hours of Video Overview 1. Humane Code: Why are most code bases bad? Why is it that, despite our best intentions, code rots between our fingers? The answer is that most of us still think of code as merely a technical tool to reach a goal: to implement a feature, or fix a bug. While code certainly can do those things, it's also a written medium for communicating with other people: your colleagues, and your future self. We spend more time reading...

Learn the most important tools in the repertoire of a data scientist and machine learning practitioner - Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) - with the help of Krishnendu Chaudhury, a deep learning and computer vision expert with decade-long stints at both Google and Adobe Systems.

A hands-on course to help you master the core Azure Cosmos DB concepts. About This Video Learn Cosmos DB - partitioning, multi-model, consistency, and other important concepts Learn how to add or modify data from UI Understand security, compliance, privacy, and trust in Microsoft 365 In Detail Microsoft's Azure Cosmos DB is becoming an essential tool for creating powerful global web and mobile applications. Today's applications are required to be...