Snowflake’s Post

Come learn why Snowflake named Dataiku AI Partner of the Year for the 3rd year in a row. See how no/low/full code users can maximize your Snowflake investment across your enterprise on May 23rd.

❄️ Dive into our #SnowflakeBUILD 2023 session! Explore preparing chatbot data in Snowflake, fine-tuning Code Llama LLM, and mastering model lifecycle with W&B. Learn more here👉 https://bit.ly/47rWm7K

On May 23rd, Snowflake + Dataiku are hosting a joint webinar. We'll take a deep dive into how clients are scaling machine learning projects in Dataiku with elastic, on-demand compute from Snowflake. Details are below if you wanted to take a look

Now Run Distributed pandas at Scale in Snowflake…. With Snowpark pandas, we combine the ease and flexibility of pandas with the horsepower of the Snowflake compute engine to bring you enterprise-grade distributed pandas. No more unnecessary data movement, rewriting pandas pipelines to other "big data" frameworks, or spending on beefier machines. By just changing the import statement and a few lines of code, you can get the same pandas-native experience you know and love at Snowflake speed and scale!

When a model underperforms, it can be difficult to understand why. Understanding and explaining model behavior is typically done using Shapley values and plays a key role in ensuring quality of the model before it goes to production, and debugging the model when it underperforms in production. Snowflake ML Explainability is now in Public Preview! Senior Product Manager at Snowflake, Avinash Joshi is here to share: 1️⃣ How to use Shapley values 2️⃣ How to compute Shapley values within Snowflake 3️⃣ The benefits of using Snowflake to compute Shapley values Read the blog to learn more: https://lnkd.in/gjN7SnF4

🚀 Unlock the Power of Data with Snowflake and Copilot! 🚀 Not a data scientist? No problem! With the dynamic duo of Snowflake and Copilot, you can now write code and analyze data without any prior technical expertise. The video below explains how this powerful combination can transform your data workflows and unlock new possibilities. https://lnkd.in/dPaUbEvt

Mastering data science just got easier! Introducing the ultimate cheat sheet – your go-to resource for quick references on algorithms, statistics, and coding essentials. Boost your productivity and stay ahead in the data-driven world. #DataScience #CheatSheet

It's nice to see Snowflake Notebooks continue to be built feature-wise with the added ability for Snowflake Notebooks external access support. What does this mean? This means you can now access external APIs directly from your notebook and load data, including getting models from huggingface. Docs: https://lnkd.in/gJFNfktK Explainer video: Check out Machine Learning with Snowflake Notebooks https://lnkd.in/gDtB6xAz #snowflake #infostrux #datasuperhero #snowflake_advocate

What is pandas on Snowflake? pandas on Snowflake lets you run your pandas code in a distributed manner scalably and securely directly on your data in Snowflake. Why use pandas on Snowflake? pandas is the go-to data processing library for millions worldwide, including countless Snowflake users. In this quickstart, you will build a notebook leveraging pandas on Snowflake to analyze your data and perform common pandas operations and transformation at scale. Get started: https://okt.to/qysEdI

What a day filled with learning about Snowflake and its various applications, Today I attended Snowflake Northstar Developer Workshop, where the whole day was filled up with Session on Data Engineering, Gen AI/ML and Application. I have attended workshop on Zero to Snowflake ❄️ and Northstar Data Engineering workshop, it was full of learning and exploring the Snowflake platform and how using Snowflake we can Build pipelines and how we can ingest data using Copy into, Snowpipe and Snowpipe streaming , then about transformation using Snowpark and lastly how to setup autograder. The best part was meeting and interacting with Sandeep Upadhyay and Abhay Singh.