Prepare Your Data for Machine Learning Like a Rockstar Data Engineer With DataRobot AI Platform
Learn to prepare data for machine learning using DataRobot AI Platform. Covers AI catalog creation, EDA, feature engineering, outlier detection, data joining, and more. Ideal for data engineers and analysts.
An AI Engineer Technical Guide to Feature Store with FEAST
Comprehensive guide to FEAST feature store for AI engineers, covering installation, setup, data handling, and integration with machine learning models. Includes hands-on examples and architecture review.
A Very First Look at H2O Hydrogen Torch
Explore H2O Hydrogen Torch: a no-code deep learning tool for diverse AI tasks. Learn its capabilities, experiment as novice and expert, and understand prediction pipelines and deployment options.
Data Engineering and Storage Concepts - With ETL, ELT, Warehouse, Lake, and Lake House
Comprehensive overview of data engineering concepts, including storage solutions, ETL/ELT processes, and modern data architectures like data mesh, with practical examples and best practices for effective data management.
Getting Started with ESM Metagenomic Atlas with API and Large Language Models
Introduction to Meta AI's ESM Metagenomic Atlas, exploring protein structures and their importance. Covers API usage, large language models, and practical demonstrations using various tools and resources.
Data Processing Fundamentals - Extended Filtering with Multiple Datasets
Learn advanced data filtering techniques in Python, including category-based filtering, handling multiple datasets, and optimizing code with inline methods for efficient data processing.
Talk to Wikipedia App with Streamlit, GPT-3, OpenAI Embeddings in Python, VS Code
Build an interactive "Talk to Wikipedia" app using Streamlit, GPT-3, and OpenAI embeddings. Learn to integrate APIs, debug in VS Code, and deploy your creation online.
XCLAIM - Trustless Interoperable Cryptocurrency Backed Assets
Trustless cross-blockchain trading framework using cryptocurrency-backed assets, offering efficient protocols for issuing, transferring, swapping, and redeeming assets securely on existing blockchains.
PERUN - Virtual Payment Hubs Over Cryptographic Currencies
Explore virtual payment hubs for efficient cryptocurrency micropayments. Learn about PERUN's innovative approach to connecting channels, improving blockchain scalability and transaction efficiency.
Getting a Job in IT Without Experience - Follow This Plan
Comprehensive guide to landing an IT job without experience, covering certifications, networking strategies, interview preparation, and common pitfalls to avoid for aspiring IT professionals.
Learn Data Science Full Course - 2020
Comprehensive introduction to data science, covering key concepts, tools, and methodologies. Ideal for beginners seeking to understand the field's fundamentals and career prospects.
Automated Metadata Management in Data Lakes - A CI/CD Driven Approach
Discover a CI/CD-driven approach to automated metadata management in data lakes, focusing on balancing development speed, governance, and schema evolution for rapidly growing organizations.
Advanced SQL for Data Scientists
Master essential SQL skills for data science: statistics, data prep, advanced filtering, window functions, and analytics tool integration.
Code Once, Use Often - Declarative Data Pipelines
Learn to build efficient, reusable data pipelines using declarative approaches. Explore techniques for reducing food waste through data-driven solutions and automation in this developer-focused session.
Advancing GPU Analytics with RAPIDS Accelerator for Apache Spark and Alluxio
Learn to accelerate GPU analytics using RAPIDS for Apache Spark and Alluxio, enabling faster data access and processing for AI and analytics workloads across any cloud environment.
Accelerating Data Science Initiatives with Databricks and Privacera
Explore how Databricks' SQL Analytics and Privacera's governance capabilities integrate to provide rapid, secure data access for advanced analytics while ensuring compliance with privacy regulations.
A Collaborative Data Science Development Workflow Using Kedro and MLflow
Explore a collaborative data science workflow using Kedro pipelines, MLflow tracking, and cloud-agnostic GPU containers for efficient model development, training, and production deployment.
What's New with Databricks Machine Learning
Explore Databricks' latest ML innovations, from data preparation to model deployment, in a detailed demo showcasing simplified lifecycle management and enhanced productivity features.
Growing the Delta Ecosystem - Delta-RS for Rust and Python
Explore delta-rs, a Rust library extending Delta Lake beyond Spark. Learn its current capabilities, roadmap, and real-world application in kafka-delta-ingest for high-throughput data transfer.
AI at Scale: Industrializing ML with Databricks
Learn to industrialize ML applications, accelerate model delivery, and optimize data science workflows while maintaining high governance standards using Databricks Lakehouse platform for enterprise-scale AI solutions.
Building Lakehouses on Delta Lake with SQL Analytics
Learn to build lakehouses using Delta Lake, perform SQL analytics, and connect BI tools. Explore data management techniques, governance models, and implementation examples for efficient data processing and analysis.