In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

We are now getting closer to the adoption of AI for business as a direct contributor more than before, with generative AI emerging as a transformative force. Generative AI, which is technically a ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Artificial Intelligence and Data Science are among the fastest-growing and most transformative domains in technology today, driving innovation across industries such as healthcare, finance, retail, ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

The 7 Best Data Science Courses That are Worth Taking Your email has been sent Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

If you would like to the basics of data science to give you a much better understanding of the subject and a foundation to build on. You might be interested to know that the team over at DATAtab have ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...