MLflow Machine Learning Lifecycle Platform

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.

Related articles

Internship in Data Engineering

Internship in Data Engineering

Categories: Front End, Learning | Tags: Metrics, Monitoring, Hive, Kafka, Delta Lake, Elasticsearch, IaC, Internship, Kubernetes, Streaming

Job Description Data is a valuable business asset. Some call it the new oil. The data engineer collects, transform and refine ā€‹ā€‹raw data into information that can be used by business analysts and dataā€¦

David WORMS

By David WORMS

Oct 25, 2021

Self-Paced training from Databricks: a guide to self-enablement on Big Data & AI

Self-Paced training from Databricks: a guide to self-enablement on Big Data & AI

Categories: Data Engineering, Learning | Tags: Cloud, Data Lake, Databricks, Delta Lake, MLflow

Self-paced trainings are proposed by Databricks inside their Academy program. The price is $ 2000 USD for unlimited access to the training courses for a period of 1 year, but also free for customersā€¦

Anna KNYAZEVA

By Anna KNYAZEVA

May 26, 2021

Experiment tracking with MLflow on Databricks Community Edition

Experiment tracking with MLflow on Databricks Community Edition

Categories: Data Engineering, Data Science, Learning | Tags: Spark, Databricks, Deep Learning, Delta Lake, Machine Learning, MLflow, Notebook, Python, Scikit-learn

Introduction to Databricks Community Edition and MLflow Every day the number of tools helping Data Scientists to build models faster increases. Consequently, the need to manage the results and theā€¦

Data versioning and reproducible ML with DVC and MLflow

Data versioning and reproducible ML with DVC and MLflow

Categories: Data Science, DevOps & SRE, Events | Tags: Data Engineering, Databricks, Delta Lake, Git, Machine Learning, MLflow, Storage

Our talk on data versioning and reproducible Machine Learning proposed to the Data + AI Summit (formerly known as Spark+AI) is accepted. The summit will take place online the 17-19th Novemberā€¦

MLflow tutorial: an open source Machine Learning (ML) platform

MLflow tutorial: an open source Machine Learning (ML) platform

Categories: Data Engineering, Data Science, Learning | Tags: AWS, Azure, Databricks, Deep Learning, Deployment, Machine Learning, MLflow, MLOps, Python, Scikit-learn

Introduction and principles of MLflow With increasingly cheaper computing power and storage and at the same time increasing data collection in all walks of life, many companies integrated Data Scienceā€¦

Machine Learning model deployment

Machine Learning model deployment

Categories: Big Data, Data Engineering, Data Science, DevOps & SRE | Tags: DevOps, Operation, AI, Cloud, Machine Learning, MLOps, On-premises, Schema

ā€œEnterprise Machine Learning requires looking at the big picture [ā€¦] from a data engineering and a data platform perspective,ā€ lectured Justin Norman during the talk on the deployment of Machineā€¦

Oskar RYNKIEWICZ

By Oskar RYNKIEWICZ

Sep 30, 2019

Canada - Morocco - France

We are a team of Open Source enthusiasts doing consulting in Big Data, Cloud, DevOps, Data Engineering, Data Scienceā€¦

We provide our customers with accurate insights on how to leverage technologies to convert their use cases to projects in production, how to reduce their costs and increase the time to market.

If you enjoy reading our publications and have an interest in what we do, contact us and we will be thrilled to cooperate with you.

Support Ukrain