
Learn to build an indoor air quality monitoring system using Python, sensors, and machine learning to predict CO2 levels and improve your home environment.

Explore ethical pitfalls in data science through a practical example, covering algorithmic fairness, model interpretability, and handling minority classes in AI applications.

Optimize deep learning algorithms on Intel architecture using Intel® MKL for training and Intel® nGraph and OpenVINO™ for inferencing, enhancing runtime performance.

Learn efficient management and monitoring techniques for multiple SQL Server instances, minimizing administration effort and maximizing productivity.

Learn to create a Power BI security dashboard for SQL Server, monitoring crucial security data and changes to ensure robust protection of your database systems.

Discover strategies to become a respected data expert as Kevin Kline explores the growing importance of data-driven decision making and its impact on professional development.

Discover how machine learning impacts Swift development, exploring techniques, tools, and resources. Learn to leverage iOS for data gathering and model implementation using native code.

Practical insights on developing a Deep Learning Android app, from data collection to production deployment using TensorFlow, with tips on choosing the right approach and best practices.

Explore strategies for building data pipelines from scratch, leveraging open data, web-sourced information, and collected data to create innovative data products that address customer needs in data-scarce environments.

Strategies for businesses to quickly adopt AI, focusing on data collection, management involvement, and model capabilities. Proposes an embedded approach for efficient implementation and scaling.

Explore OpenTelemetry's SDK design principles, implementation values, and contribution opportunities for building robust, portable telemetry in cloud-native software.

Explore event-driven architecture for IoT edge applications, addressing resource constraints and leveraging CloudEvents with Kubernetes-hosted services for efficient data processing.

Explore logging in distributed systems with Fluentd and Fluent Bit. Learn data collection, filtering, buffering, and routing techniques, plus best practices for Kubernetes deployments and observability.

Explore unified log and metric collection with Fluent Bit's integration of OpenMetrics and Prometheus, enhancing data management for cloud-native environments.

Explore TinyGo for microcontrollers: learn to collect henhouse data, use WiFi communication, and build dashboards for remote monitoring. Unleash creativity with Go in small-scale projects.

Explore Azure IoT with Raspberry Pi: from sensors to visualization. Learn to build end-to-end IoT solutions using Windows 10 IoT Core and Azure, gaining practical insights for your own projects.

Explore OASIS, a framework for dynamic kernel analysis, enabling flexible control and data collection from kernel threads for various applications like memory introspection and malware testing.

Learn to build an AI chatbot using Vector Shift's no-code platform. Create efficient data collection, automate responses, and publish on your website. Perfect for beginners and experts seeking streamlined chatbot development.

Master Notion's new native form builder functionality, from basic embedding to advanced automation features, customization options, and practical implementation strategies.

Discover how to leverage Apstra's Intent-Based Analytics by creating custom collectors, enriched visualizations, and alerts for enhanced data center monitoring and management.

Discover essential digital defense strategies for travel, focusing on free tools and OPSEC principles to protect your online presence and personal data while maintaining security awareness.