Remove 2022 Remove Data Preparation Remove Python
article thumbnail

The Violinist Who Fell in Love With Machine Learning

Flipboard

After taking some free online courses in Python and machine learning, he quickly became immersed in a fascinating new world of data and algorithms. She told him about programming languages and what the career was like, and out of curiosity he decided to take an online Python course. So I began to take it seriously.”

article thumbnail

Snowflake Snowpark: cloud SQL and Python ML pipelines

Snorkel AI

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Snowflake Snowpark: cloud SQL and Python ML pipelines

Snorkel AI

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52
article thumbnail

How are AI Projects Different

Towards AI

MLOps is the intersection of Machine Learning, DevOps, and Data Engineering. Zero, “ How to write better scientific code in Python,” Towards Data Science, Feb. 15, 2022. [4] Galarnyk, “ Considerations for Deploying Machine Learning Models in Production,” Towards Data Science, Nov.

article thumbnail

15 Fan-Favorite Speakers & Instructors Returning for ODSC East 2025

ODSC - Open Data Science

Allen Downey, PhD, Principal Data Scientist at PyMCLabs Allen is the author of several booksincluding Think Python, Think Bayes, and Probably Overthinking Itand a blog about data science and Bayesian statistics. in Ecology, he brings a unique perspective to statistics, spatial analysis, and real-world data applications.

article thumbnail

New DataRobot and Snowflake Integrations: Seamless Data Prep, Model Deployment, and Monitoring

DataRobot Blog

Secure, Seamless, and Scalable ML Data Preparation and Experimentation Now DataRobot and Snowflake customers can maximize their return on investment in AI and their cloud data platform. Automated data preparation and well-defined APIs allow you to quickly frame business problems as training datasets.

article thumbnail

Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning Blog

Data preparation LLM developers train their models on large datasets of naturally occurring text. Popular examples of such data sources include Common Crawl and The Pile. An LLM’s eventual quality significantly depends on the selection and curation of the training data.

AWS 107