Automate Your Career with a Personal Brand - PSHSummit 2022
Discover strategies to automate career growth through personal branding, leveraging PowerShell expertise for professional advancement.
Forecasting the Future: An Introduction to Machine Learning for Weather Prediction in Native Ruby
Explore weather prediction using machine learning in Ruby. Learn to build, train, and deploy ML models natively, discovering accessible tools and libraries for Ruby-based AI projects.
Producing Apache Kafka Messages Using Apache Flink and Java
Learn to produce Apache Kafka messages using Apache Flink and Java in this comprehensive walkthrough. Covers Flink job setup, Kafka configuration, data generation, serialization, and execution verification.
MLOps Platform for AI and Machine Learning Use Cases
Explore MLOps platforms for AI and Machine Learning, focusing on streamlining development and deployment processes in enterprise environments.
Connecting Disparate Systems in a Lightweight Way
Explore lightweight methods for connecting disparate systems in modern application development. Learn efficient integration techniques for streamlined system connectivity.
Supersonic Model Serving Using Apache Licensed Deep Java Library (DJL) and Quarkus
Explore supersonic model serving in cloud-native environments using Deep Java Library (DJL) embedded in Quarkus. Learn to bridge the gap between data scientists and DevOps teams for efficient model deployment.
Where is Fuse 8? - The Future of Red Hat's Containerized Integration Solution
Discover the future of Red Hat's containerized integration solution beyond Fuse 7 and learn how to modernize Fuse 6 workloads for upcoming needs.
Fraud Detection Using OpenShift Data Science - A Step-by-Step Guide
Detect fraudulent transactions using AI/ML on OpenShift Data Science. Learn the workflow, partner solutions, and step-by-step implementation for financial institutions.
Real-Time Image Processing AI/ML with Jupyter Notebooks
Explore real-time image processing using AI/ML techniques with Jupiter notebooks, enhancing your skills in cutting-edge technology applications.
Realtime Stock Market Anomaly Detection Using Machine Learning - End-to-End Data Engineering Project
Develop an end-to-end data engineering project for real-time stock market anomaly detection using Quix Streams, Redpanda, and Docker. Learn to build a complete data pipeline and deploy an advanced ML model.
Scaling Experimentation to 20 Billion Users
Discover insights on scaling experimentation to billions of users, learn best practices, and explore lessons from Statsig's rapid growth in product analytics and decision-making.
Extreme Self-Service: Turning Data Consumers into Data Constructors
Empower data consumers to create their own products with minimal training. Learn best practices, community building, SQL literacy promotion, and guard rail establishment for self-service analytics.
Extinguishing the Garbage Fire of ML Testing - Improving Reliability and Quality in Machine Learning
Explore innovative ML testing strategies, focusing on observability, data reliability, and honoring Data Scientists' workflows to improve quality and efficiency in ML development.
Writing Unit Tests for Data Science Code
Discover software engineering best practices for testing data science code, including mocking data and handling complex scenarios in machine learning projects.
The Metadata-Driven Data Warehouse
Streamline data warehouse development using metadata-driven approaches. Learn efficient techniques for Insert/Update/Delete operations and pipeline management.
Cognitive Services Extravaganza - Understanding Pre-Built AI for Developers
Explore Microsoft's Cognitive Services for easy AI integration. Learn pre-built AI applications, their use cases, and how to leverage them in your development projects.
Automated Machine Learning on Azure - Comparing Azure ML Service and Azure Databricks
Explore AutoML on Azure Machine Learning Service and Azure Databricks to quickly build and deploy ML models, reducing time and expertise required for preprocessing and model creation.
Introduction to Databricks Delta Live Tables
Accelerate data pipeline development with Databricks Delta Live Tables. Learn setup, ingestion, table creation, pipeline execution, and data validation for faster, more reliable projects.
What's New and Cool in Azure Synapse Analytics
Discover recent updates and new features in Azure Synapse Analytics for end-to-end analytics, with practical demonstrations and scenario-based applications.
Model Creation in Azure AutoML and Ingestion Through Excel
Explore Azure AutoML for machine learning, from model creation to Excel integration via VBA, with a focus on practical applications and time-saving techniques.
Query Folding in Power Query: Importance for Performance
Discover query folding's importance for Power Query performance and learn factors that can hinder its effectiveness.