IBM Journey to AI blog

SEPTEMBER 19, 2023

By analyzing datasets, data scientists can better understand their potential use in an algorithm or machine learning model. The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data.

Data Science 98

Data Science Analytics Analytics Data Scientist 98

phData

FEBRUARY 14, 2023

A traditional approach requires massive efforts and a long lead time in sourcing from various data providers, data pipelining, and integrating into data marts. Also today’s volume, variety, and velocity of data, only intensify the data-sharing issues.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

ODSC - Open Data Science

FEBRUARY 2, 2023

Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning. Knowing all three frameworks cover the most ground for aspiring data science professionals, so you cover plenty of ground knowing this group.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

phData

NOVEMBER 4, 2024

With all this packaged into a well-governed platform, Snowflake continues to set the standard for data warehousing and beyond. Snowflake supports data sharing and collaboration across organizations without the need for complex data pipelines.

Machine Learning 69

Machine Learning Machine Learning Data Science Data Preparation 69