Data Processing at Scale with Knative and Benthos
Explore scalable data processing using Knative and Benthos, focusing on batch processing challenges and solutions for enterprise use cases. Learn about transaction-based resiliency and data transformation techniques.
OTTL Me Why: Transforming Telemetry in the OpenTelemetry Collector - Just Got Better
Explore OpenTelemetry Transformation Language (OTTL) for processing telemetry data in the OpenTelemetry Collector. Learn use cases, best practices, and future developments for effective data transformation and routing.
Solving Migration Pipelines
Explore strategies for solving migration pipeline challenges in cloud-native environments, focusing on efficiency and scalability.
Hugging Face Workshops - Pretraining Language Models & CodeParrot
Explore pretraining language models and CodeParrot, a code-writing AI. Learn data transformation, batching, evaluation, and tackle coding challenges in this hands-on workshop.
TorchStudio - Deep Learning Toolkit
Hands-on guide to TorchStudio: Access PyTorch datasets, train models, and compare results. Ideal for beginners and experienced users in the PyTorch ecosystem.
Feature Engineering Importance - Practical Application for Feature Engineering
Explore feature engineering techniques for data analysis and classification, including practical application to supermarket sales data. Learn to select, manipulate, and transform features for improved model performance.
End to End NLP Project Implementation With Deployment Github Action - Text Summarization - Krish Naik
Comprehensive guide to implementing an end-to-end NLP text summarization project, covering data processing, model training, evaluation, and deployment using GitHub Actions on AWS.
End to End ML Project - Data Transformation Implementation Using Pipelines
Implement data transformation using pipelines for ML projects, covering categorical and missing value handling, standard scaling, and artifact storage.
PyTorch Datasets, DataLoaders and Transforms - GPU Series Part 3
Explore PyTorch's data handling tools: Datasets, DataLoaders, and Transforms. Learn to prepare, visualize, and optimize data for GPU-accelerated deep learning using Fashion-MNIST dataset.
The Shift to Data Mesh: Fundamentals and Implementation Strategies
Explore Data Mesh fundamentals and how Avanade helps clients adopt a distributed, domain-led approach to improve data modeling, governance, and incremental transformation for faster performance.
Measurement and Operationalization in Humanities Analytics - FAHA Course
Explore measurement and operationalization in humanities analytics. Learn to extract meaning from digital sources, enabling new scholarship in cultural and textual analysis.
Python and Machine Learning
Explore machine learning for malware categorization using Python and scikit-learn. Learn to transform data, apply clustering algorithms, and generate YARA rules for effective malware hunting.
Meander - Declarative Explorations at the Limits of FP
Explore declarative data manipulation in functional programming using Meander, a Clojure library inspired by logic programming and term rewriting for complex data transformations.
Specter - Overcome Your Fear of Nested Clojure Data
Discover Specter, a library simplifying manipulation of nested data structures in Clojure. Learn to efficiently query and transform complex data, enhancing code readability and performance.
Data Transforming Your Sewage into Signatures
Transforming honeypot data into valuable security insights through innovative data analysis techniques. Learn to extract meaningful patterns and create effective signatures from seemingly useless information.
Simplify Internet of Things with an Intelligent Gateway
Explore intelligent IoT gateways for edge computing, data transformation, and automated machine operations. Learn about scalable, secure IoT architectures and open-source solutions for industrial applications.
How to Build a Cloud Data Mart in 20 Minutes
Learn to rapidly build a cloud data mart, transforming raw data into actionable insights using a simple five-step process demonstrated through a practical demo.
Developing for Customer Engagement with Adobe Experience Platform
Explore Adobe Experience Platform's integration with Microsoft technologies for robust customer profiles. Learn API-first development, data connectors, and cloud-native app building with Project Firefly.
The Software Defined World
Explore the impact of container technology and open source hypervisors on cloud computing, micro-services, and embedded development in the era of smart, connected devices and data-driven experiences.
Data Driven UIs, Incrementally
Explore efficient data-driven UI development using Incremental, an OCaml library for dynamic computations. Learn techniques for building responsive applications that handle large data streams in real-time.
Visualizing Security
Explore data analysis and visualization techniques for security through real-world examples, covering various chart types and data transformation methods to enhance security insights.