Towards AI

JUNE 25, 2024

As a Python user, I find the {pySpark} library super handy for leveraging Spark’s capacity to speed up data processing in machine learning projects. But here is a problem: While pySpark syntax is straightforward and very easy to follow, it can be readily confused with other common libraries for data wrangling. distinct().count()

ML 61

ML ML EDA Data Wrangling 61

ODSC - Open Data Science

MARCH 13, 2023

Machine learning practitioners are often working with data at the beginning and during the full stack of things, so they see a lot of workflow/pipeline development, data wrangling, and data preparation. What percentage of machine learning models developed in your organization get deployed to a production environment?

Machine Learning 94

Machine Learning Machine Learning Data Wrangling Data Science 94

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

OCTOBER 26, 2023

ML Pros Deep-Dive into Machine Learning Techniques and MLOps with Microsoft LLMs in Data Analytics: Can They Match Human Precision? 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. Confirmed sessions include Ask the Experts!

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 6, 2023

Big data analytics is evergreen, and as more companies use big data it only makes sense that practitioners are interested in analyzing data in-house. Deep learning is a fairly common sibling of machine learning, just going a bit more in-depth, so ML practitioners most often still work with deep learning.

Machine Learning 116

Machine Learning Machine Learning Deep Learning Deep Learning 116

Iguazio

OCTOBER 20, 2024

In this blog post, we provide a staged approach for rolling out gen AI, together with use cases, a demo and examples that you can implement and follow. The webinar hosts Eli Stein, Partner and Modern Marketing Capabilities Leader from McKinsey, Ze’ev Rispler, ML Engineer, from Iguazio (acquired by McKinsey), and myself.

AI 52

AI AI Database Data Wrangling 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