According to Oracle, the key differentiating factor for its data science platform is team collaboration features and tight integration with a variety of data sources available in OCI. Oracle Cloud ...

In the past few years, you might have noticed the increasing pace at which vendors are rolling out “platforms” that serve the AI ecosystem, namely addressing data science and machine learning (ML) ...

Cisco is hiring a Data and MLOps Engineer for its Bangalore office. The hybrid position requires you to handle data pipeline ...

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects. If you want to master, or even just use, data analysis, Python is the ...

As businesses generate, process, and analyze data at accelerating rates, the ability to move efficiently through the data science lifecycle has become a critical differentiator for organizations ...

Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. This is course 1 of 2. In this course, instructor Lillian Pierson takes you step by ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

Open source software is a critical resource in data science today, but integrating the various open source products together can be a complex task. This is what drove Red Hat to develop Open Data Hub, ...