phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined. No problem!

Power BI 84

Power BI Analytics Analytics Azure 84

The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

The MLOps Blog

MARCH 23, 2023

You may also like How to Deploy NLP Models in Production 10 NLP Projects to Boost Your Resume Challenges of large NLP models Computational resources LLMs require is a significant amount of resources for optimal performance. 2 Different strategies to reduce the costs associated with these challenges. Consider ChatGPT as an example.

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115

The MLOps Blog

MARCH 21, 2023

But here’s the catch: understanding what makes a platform successful and building it is no easy feat. What is a machine learning platform? What do you want to prioritize? To do that, you’d need to take a systematic approach to MLOps —enter platforms! Why are you building an ML platform? The platform handles that.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69