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Check out watsonx: https://ibm.biz/BdvDnH It takes a lot of time, effort, and money to train a machine learning model. And yet a ...

This Playlist contains an Understanding of MLpos and related projects on cloud! DevOps brings together the best practices for ...

Check Out My Data Engineering Bootcamp: https://datavidhya.com/combo-pack USE CODE: COMBO50 for a 50% discount Learn ...

In this video, learn about the importance of MLOps and the processes associated with it. Download the 30-day learning journey for ...

Databricks Data + AI Summit 2022 Niall Turbitt Lead Data Scientist Databricks Rafi Kurlansik Lead Solutions Architect Databricks ...

This video focuses on creating MLOps platforms using databricks, AutoML, SKLearn, and AWS. 00:00 Intro 01:20 Starting an ...

In this end-to-end data engineering video, I demonstrated how to architect a fully automated CI/CD pipeline for Databricks ...

In this talk, we will present how we tied Python together with Databricks and MLflow to productionalize a machine learning ...

ML development brings many new complexities beyond the traditional software development lifecycle. ML projects, unlike ...

As the field of MLOps expands, data practitioners see the need for a unified, open machine learning platform where they can train, ...

Learn how to design an end-to-end machine learning architecture, one step at a time, graduating from a simple model deployment ...

Databricks Data + AI Summit 2022 Chengyin Eng Senior Data Science Consultant Databricks Real-world data problems are ...

In this session, Oliver Koernig, a Solutions Architect at Databricks, will illustrate and demonstrate how Databricks' managed ...

This session is continuation of “Automated Production Ready ML at Scale” in last Spark AI Summit at Europe. In this session you ...

MLOps and ML Platforms State of the Industry, opening Keynote with Matei Zaharia, co-founder and CTO at Databricks and ...

Getting machine learning models to production is notoriously difficult: it involves multiple teams (data scientists, data and machine ...

Taking Machine Learning to Production with New Features in MLflow Matei Zaharia Assistant Professor of Computer Science ...

Join us for a 3 part online technical workshop series: Managing the Complete Machine Learning Lifecycle with MLflow. If you're ...

Data & ML projects bring many new complexities beyond the traditional software development lifecycle. Unlike software projects ...

Join our interactive MLOps Virtual Event to hear more about the latest developments and best practices for managing the full ML ...

Apache Spark has revolutionized the way organizations build and deploy predictive algorithms, and SingleStore brings the scale ...

Deploying advanced machine learning technology to serve customers and/or business needs requires a rigorous approach and ...

We'll start with a few industry examples to inspire you and a quick overview of Azure Databricks before diving into the heart of this ...

Watch a demo on operationalizing Data Science & ML on Databricks using MLflow (Demo) with Sean Owen, Principal Solution ...

Solving a data science problem is about more than making a model. It entails data cleaning, exploration, modeling and tuning, ...