Tabla de Contenidos: “…-- Third Sector Initiatives -- Individualisation of Legal Aid -- Conclusion -- References -- Index…”

Tabla de Contenidos: “…Conceptual documentation -- Working with containers -- Refactoring and technical debt -- Summary -- Chapter 11: Automating Workflows -- Introducing DataOps -- Orchestrating data pipelines -- Designing an automated workflow - considerations -- dbt Cloud -- Airflow -- Continuous integration -- Integration -- Continuous -- Handling integration issues -- Automating testing with a CI pipeline -- Continuous deployment -- The CD pipeline -- Slim CI/CD -- Configuring CI/CD in dbt Cloud -- Continuous delivery -- Continuous delivery versus continuous deployment -- Summary -- Part 5: Data Strategy -- Chapter 12: Driving Business Adoption -- Defining analytics translation -- The analytics value chain -- Scoping analytics use cases -- Identifying stakeholders -- Ideating analytics use cases -- Prioritizing use cases -- Ensuring business adoption -- Working incrementally -- Gathering feedback -- Knowing when to stop developing -- Communicating your results -- Documenting business logic -- Summary -- Chapter 13: Data Governance -- Understanding data governance -- The objective of data governance -- Applying data governance in analytics engineering -- Defining data ownership -- Data quality and integrity -- Managing data assets -- Training, enablement, and best practices -- Data definitions -- Addressing critical areas for seamless data governance -- Resistance to change and adoption -- Engaging stakeholders and fostering collaboration -- Establishing a data governance roadmap -- Summary -- Chapter 14: Epilogue -- Reviewing the fundamental insights - what you've learned so far -- Making your career future-proof - how to take it further -- Tip #1 - keep learning and developing your skills -- Tip #2 - network and engage with the community -- Tip #3 - showcase your work and build a portfolio -- Closing remarks -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…Supervised learning -- Unsupervised learning -- Reinforced learning -- TinyML pipeline -- Data collection and preprocessing -- Designing and training a model -- Optimizing and preparing the model for deployment -- Running inference on an IoT device -- Running inference on ESP32 -- Creating the project -- Coding the application -- Testing the application -- Developing a speech recognition application -- Creating the project -- Coding the application -- Testing the application -- Troubleshooting -- Summary -- Questions -- Further reading -- Chapter 11: Developing on Edge Impulse -- Technical requirements -- An overview of Edge Impulse -- Cloning an Edge Impulse project -- Using the ML model on ESP32 -- The model library -- The application code -- Testing the application -- Troubleshooting -- Next steps for TinyML development -- The Netron app -- tinyML Foundation -- ONNX format -- Project ideas -- Image processing with ESP32-S3-EYE -- Anomaly detection -- Summary -- Questions -- Further reading -- Chapter 12: Project - Baby Monitor -- Technical requirements -- The feature list of the baby monitor -- Solution architecture -- Implementation -- Generating the ML model -- Creating an IDF project -- Developing the application -- Testing the project -- Troubleshooting -- New features -- Summary -- Answers -- PacktPage -- Other Books You May Enjoy -- Index…”