Techniques to Work with Imbalanced Data for Machine Learning in Python
Learn 7 effective techniques to handle imbalanced datasets in machine learning, including sampling methods, algorithm selection, and synthetic data generation.
PICKUP DATA - A Kafka Adventure Game
Explore Apache Kafka's potential as a game engine through a text-based adventure, learning about event systems, Kafka Streams, and diverse applications of event stores.
Live-Coding: Master Anti-Ban and Web Scraping with Scrapoxy
Master web scraping techniques and anti-ban strategies using Scrapoxy, Scrapy, and Playwright. Learn proxy handling, code deobfuscation, and effective methods to bypass anti-bot systems.
Web Extraction with Large Language Models - Lessons from Parsing Billions of Webpages
Discover cutting-edge techniques for web scraping and data extraction using Large Language Models, drawing from Pinterest's experience of parsing billions of webpages daily.
Exploring Cribl Stream and Cribl Edge - Data Collection and Observability Pipeline Demo
Discover how to manage observability pipelines with Cribl Stream and Edge, enabling flexible data collection, reduction, enrichment, and routing across your infrastructure for optimized business operations.
Network Observability at LinkedIn - Scaling Flow Data Processing with Erlang
Explore LinkedIn's Erlang-based network observability system for processing millions of data points per second, addressing scalability challenges in large-scale infrastructure.
Robots Learning Like Humans: Leveraging Human-Inspired Techniques in Machine Learning
Explore how robots can learn from human-like methods, including video observation, natural language instructions, and curiosity-driven exploration.
Your Search Engine Needs a Memory - Haystack US 2024
Discover how User Behavior Insights system standardizes data collection for search professionals, enabling improved relevance and user experience through analysis of search patterns and behaviors.
What is Machine Learning - Lecture 2
Explore machine learning fundamentals, data preprocessing, and Python basics for energy and petroleum applications.
An Introduction to Extended Events
Learn to set up and utilize Extended Events for SQL Server performance monitoring and troubleshooting.
Developing a Stream Processing Application with Apache Kafka and Quarkus
Build high-performance Kafka-based event-driven architectures using Quarkus and MicroProfile Reactive Messaging. Learn through live coding, showcasing patterns and development techniques.
Get Going with Google Analytics 4
Explore Google Analytics 4 setup, configuration, and usage for effective website tracking and data analysis.
How to Write the 'Methods' Section in Research Papers
Learn to craft a compelling 'Methods' section for research papers, focusing on key elements and best practices in scientific writing. Enhance your ability to communicate research methodologies effectively.
Defender for Cloud: CSPM and Security for AWS and GCP
Explore Defender for Cloud's CSPM capabilities for AWS and GCP. Learn about connecting, authentication, resource management, recommendations, governance, and security features across multiple cloud platforms.
Stream Processing at the Edge with Apache Kafka
Explore edge computing with Apache Kafka for improved performance and resiliency. Learn use cases, cloud integration, and Kubernetes management using GitOps. Includes IoT data processing demo.
A Guide to Responsible Data Collection in Open Source
Explore best practices for ethical and effective usage data collection in open source projects, covering community, security, privacy, compliance, and governance aspects.
How to Use Microsoft Forms - Getting Started Guide
Learn to create, customize, and manage Microsoft Forms with various question types, styles, and settings. Explore collaboration features and integration with other Microsoft 365 apps.
Easy Hand Sign Detection - American Sign Language ASL - Computer Vision
Learn to detect American Sign Language hand signs using computer vision techniques, from setup to customization, with practical coding examples and hands-on training.
Open the Paths - Translating Experiences to Data
Explore innovative methods for converting real-world experiences into meaningful data, enhancing decision-making and problem-solving across various fields and industries.
臨床研究者のための生物統計学 - データマネジメントとは
Master データマネジメントの基礎から実践まで、臨床研究における品質管理、データ収集、クリーニング、固定までの包括的なプロセスを学び、効果的な研究データの取り扱いを習得。
What Can We Learn From the Results of C++ Community Surveys?
Discover how to interpret C++ community survey results, understand research methodologies, and learn to identify biases in data collection for making informed decisions about C++ development trends.