“…The emphasis of this course is on understanding and using these algorithms in the real world, not in a theoretical or academic context. …”

“…Immerse yourself into this exciting introduction to the topic with lots of real-world examples. A must-read for every deep learning practitioner. …”

“…Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodgepodge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, Data Pipelines with Apache Airflow teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack. about the technology Data pipelines manage the flow of data from initial collection through consolidation, cleaning, analysis, visualization, and more. …”

“…Martin In Five Lines of Code you will learn: The signs of bad code Improving code safely, even when you don't understand it Balancing optimization and code generality Proper compiler practices The Extract method, Introducing Strategy pattern, and many other refactoring patterns Writing stable code that enables change-by-addition Writing code that needs no comments Real-world practices for great refactoring Improving existing code--refactoring--is one of the most common tasks you'll face as a programmer. …”

“…Through hands-on projects like the Fortune Cookie and Tip Calculator apps, you'll apply these concepts in real-world scenarios, learning to integrate complex functionalities such as JSON parsing and advanced form handling. …”

“…Drawing on research projects which reflect real world situations, this volume will guide you through the research process in detail, enabling you to examine and understand the practices and value of a range of documentary analysis approaches…”

“…While academic courses on machine learning focus on gradients and the latest flavor of recurrent network, Ted Dunning (MapR) explores the techniques that practitioners in the real world are seeking out better features and figuring out how to extract value using a variety of time-honored (and occasionally exceptionally clever) heuristics. …”

“…From configuring environments for model conversion across various frameworks to deploying advanced object segmentation techniques, this course prepares you for real-world AI applications. It culminates in deploying YOLO-NAS in Docker and Jetson NANO environments, ensuring you are equipped to handle professional AI tasks seamlessly…”

“…This textbook covers all the tools, options and their applications of Maya 2011 to create the real world objects. Each concept has been thoroughly explained through text, practical examples, tutorials and exercises. …”

“…Then they'll dive into some patterns for building, organizing, observing, and operating microservices in the real world. Neal and Sam will spend a few minutes covering the trends in microservices that are influencing architecture, then tell you what you need to know to stay ahead of the curve. …”

“…"Bart Verkoeijen (KintoHub) live-codes the backend of an app with real-world business logic, using the best-of-breed technology from the open source and cloud ecosystem. …”

“…Lectures will educate you on the fundamental terms and principles of GCP and demos will enable you with a hands-on experience using scenarios to empower you in the real world. What you will learn: Know how to implement infrastructure solutions in GCP What you need to pass the GCP Associate Cloud Engineer Certification Exam Core GCP fundamentals Get started on your journey to becoming a GCP Associate Cloud Engineer Course Requirements: You should have a foundational knowledge cloud computing concepts: network, storage, compute, etc. …”

“…Danny Lange (Unity Technologies) explains how observing emergent behaviors of multiple AI agents in a simulated virtual environment can lead to the most optimal designs and real-world practices, all without introducing human bias or the need for vast amounts of data."…”

“…This course curriculum follows the Microsoft's AZ-101 exam outline: Evaluate and Perform Server Migration to Azure Implement and Manage Application Services Implement Advanced Virtual Networking Secure Identities Lectures will educate you on the fundamental terms and principles of the Azure platform and demos will enable you with a hands-on experience using scenarios to empower you in the real world."--Resource description page…”

“…This course curriculum is as follows: Azure Fundamentals Analyze Resource Utilization and Consumption Create and Configure Storage Accounts Create and Configure Virtual Machines Azure Virtual Networking Managing and Securing Identities Governance and RBAC Controls Create and Deploy Apps Serverless Computing Design and Develop Apps that Run in Containers Server Migrations Automation Lectures will educate you on the fundamental terms and principles of the Azure platform and demos will enable you with a hands-on experience using scenarios to empower you in the real world. This course will be continually updated with additional modules based on feedback from our students. …”

“…This course curriculum is as follows: Determine Workload Requirements Design Identity Management Design a Data Solution Establish Business Continuity Design Deployment and Migrations Design an Infrastructure Strategy Example Designs Lectures will educate you on the fundamental terms and principles of the Azure platform and demos will enable you with a hands-on experience using scenarios to empower you in the real world. This course will be continually updated with additional modules based on feedback from our students. …”

“…Alex explores recent work on modeling the noise and imprecision inherent in these operators and using these approaches to train ML models that solve real-world problems, including a recent state-of-the-art result on the SuperGLUE natural language processing benchmark task. …”

“…You'll get a practical overview of the aspects of causal inference, including the fundamental tenants of causality and measuring causal effects; the challenges involved in measuring causal effects in real-world situations; distinguishing between randomized and observational measurement approaches; an introduction to measuring casual effects with observational data using matching and its extension of propensity score-based matching with a focus on the institution and statistics behind it, tips from the trenches based on Subhasish's experience with these techniques; and practical limitations of these approaches. …”

“…"O'Reilly Katacoda represents a quantum leap forward in learning new IT technologies by presenting users with an interactive, hands-on platform that simulates real-world scenarios and environments. Katacoda lets users better learn architectures and systems like Kubernetes and Docker than any existing online courses, books, or videos, honing their skills in custom-configured cloud-based sandboxes that more closely mimic what they will experience in actual production environments. …”

“…You'll learn how to: Install MLflow and explore its components like the UI, tracking, and model packaging Log metrics, parameters, and artifacts to track ML experiments Create reproducible ML projects with MLflow for repeatable model training Package models and dependencies for deployment and serving Use model registries to version, stage, and deploy models Deploy models to tools like Azure ML and SageMaker This course includes hands-on exercises, projects, and real-world examples so you can apply your new MLflow skills immediately. …”