Deep Learning for Price Action Prediction Using Databricks and AWS
Explore deep learning techniques to enhance price action prediction using Databricks and AWS. Learn to optimize technical indicators and train models with Amazon SageMaker for improved financial forecasting.
Productionalizing Models through CI/CD Design with MLflow
Explore MLflow integration with CI/CD for streamlined model deployment. Learn to design and implement automated pipelines using the model registry, enhancing efficiency in machine learning workflows.
Using Docker Images in Production - Databricks Case Study
Learn how Condé Nast evolved Spire, their user segmentation service, from notebooks to Docker images on Databricks clusters. Explore the streamlined deployment workflow, challenges faced, and solutions implemented.
Databricks Lakehouse Platform - Governance and Security Fundamentals
Learn fundamentals of governance and security for cloud data platforms, covering identity management, private links, access monitoring, cost control, and policy enforcement for workspaces.
MLflow Model Serving - Methods and Best Practices
Explore MLflow model serving techniques, including batch and real-time scoring, open-source and Databricks-managed options, with emphasis on new production-ready model serving features.
Monitoring ML Models, IoT Data, and Quality Checks on Delta Lake - Quby's Approach
Discover how Quby monitors IoT data, ML models, and data quality using Databricks. Learn about Delta Lake, MLflow, and Slack integration for efficient data processing and model performance tracking.
Building Recommendation Systems Using Graph Neural Networks
Explore graph neural networks for recommendation systems, focusing on RECKON's encoder-decoder architecture to improve entity intelligence and personalize user experiences.
Identifying Sensitive Data and Mitigating Risk in Apache Spark and Databricks
Discover sensitive data in Apache Spark and Databricks using BigID's platform. Learn to scale discovery, label data, and apply necessary guardrails for compliance and risk mitigation in data analytics.
Unsupervised Machine Learning for Scaling Data Quality Monitoring in Databricks
Explore unsupervised ML algorithms for scalable data quality monitoring in Databricks, covering implementation, strengths, weaknesses, and practical applications for effective data management.
Generative AI for Data Platforms - Cutting to the Chase
Explore AI-infused lakehouses: integrating generative AI with data platforms for enhanced code generation, natural language queries, and semantic search. Includes live demo of IoT event processing.
Building an LLMOps Stack for Large Language Models
Explore LLMOps architecture: MLFlow for LLMs, Vector Databases, RAG strategies, and prompt evaluation. Gain insights into optimizing and deploying large language models effectively.
ML and MLOps with Databricks: LLMOps, MLFlow, Transformers, and Databricks
Explore LLMOps, MLFlow, and Databricks for advanced machine learning operations. Master transformers and enhance your data science skills.
MLOps MLFlow: MLflow Projects with PySpark Docker Environments
Explore MLflow Projects with PySpark in Docker, utilizing Databricks for artifact storage and tracking in MLOps workflows.
MLFlow Projects: Dockerized Environments in MLflow
Explore MLflow projects using Docker environments and Databricks for artifact repository and tracking in MLOps workflows.
MLOps: Databricks MLFlow and Optuna Hyper-parameter Tuning
Optimize XGBoost models using Databricks, MLflow, and Optuna for efficient hyperparameter tuning and improved machine learning workflows.
MLOps: Databricks and MLFlow Hyper-parameter Tuning for XGBoost Models
Optimize machine learning models using Databricks and MLflow for hyperparameter tuning with XGBoost and HyperOpt.
LLMOps with Langchain, OpenAI, and Faiss on Databricks - Creating a Retrieval QA Tool
Develop a Retrieval QA tool using Langchain, OpenAI, and Faiss. Learn to save components in Databricks' MLFLOW, work with Model Governance, and perform inference after chain retrieval.
ML and MLOps with Databricks: LLMOps, MLFlow, OpenAI, and Databricks
Build a code reviewer using GPT-4, encapsulate it in MLflow, and deploy for inference in Databricks pipelines. Enhance your ML workflow with LLMOps techniques.
Implementing a Data Quality Framework for Databricks, Synapse, and Power BI Solutions
Implement a framework for data quality validation and monitoring across your end-to-end data platform, including Power BI, Databricks, and Synapse Analytics.
Unity Catalog and Purview - Data Governance Integration
Explore data lineage from Databricks Unity Catalog in Microsoft Purview through hands-on demonstrations, enhancing your data governance capabilities.
Business Continuity and Disaster Recovery on Databricks - Part 1: Introduction and Overview
Explore business continuity and disaster recovery concepts for data and AI platforms, focusing on Databricks' best practices and planning strategies.