Towards AI

JUNE 25, 2024

Image generated by Gemini Spark is an open-source distributed computing framework for high-speed data processing. It is widely supported by platforms like GCP and Azure, as well as Databricks, which was founded by the creators of Spark. We will use this table to demo and test our custom functions. Similar but different.

ML 59

ML ML EDA Data Wrangling 59

ODSC - Open Data Science

APRIL 18, 2023

Mini-Bootcamp and VIP Pass holders will have access to four live virtual sessions on data science fundamentals. Confirmed sessions include: An Introduction to Data Wrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr.

Data Science 98

Data Science Data Wrangling Machine Learning Machine Learning 98

ODSC - Open Data Science

MAY 26, 2023

We will kick the conference off with a virtual Keynote talk from Henk Boelman, Senior Cloud Advocate at Microsoft, Build and Deploy PyTorch models with Azure Machine Learning. Day 2 also marks the last day you can meet with the organizations and startups shaping the future of AI and data science at the AI Expo and Demo Hall.

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

ODSC - Open Data Science

OCTOBER 26, 2023

Virtual AI Expo Visit the AI Expo and Demo Hall to connect one-on-one with industry leaders in MLOps, NLP, Machine Learning, and much more. Primer courses include Data Primer SQL Primer Programming Primer with Python AI Primer Data Wrangling with Python LLMs, Gen AI, and Prompt Engineering Register for free here!

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

ODSC - Open Data Science

APRIL 6, 2023

Many cloud providers, such as Amazon Web Services and Microsoft Azure, offer SQL-based database services that can be used to store and analyze data in the cloud. These services often provide integration with other cloud services, such as data storage and processing tools, to create end-to-end data workflows.

SQL 98

SQL Data Scientist Database Data Analysis 98

The MLOps Blog

OCTOBER 20, 2023

Example template for an exploratory notebook | Source: Author How to organize code in Jupyter notebook For exploratory tasks, the code to produce SQL queries, pandas data wrangling, or create plots is not important for readers. You can check the different Markdown syntax options in Markdown Cells — Jupyter Notebook 6.5.2 documentation.

SQL 52

SQL Database Data Scientist Python 52