Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Overview: A clear understanding of Python structure prevents common confusion and reduces early coding errors.Organized scripts and readable naming improve long ...

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand ...

Since the early 1980s, NRG has been a global leader in creating and deploying measurement tools for wind and solar energy ...

Could 2026 be the year of the beautiful back end? We explore the range of options for server-side JavaScript development, ...

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...

UC Berkeley Computer Science Professor Sarah Chasins joins WIRED to answer the internet's burning questions about coding. How ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

We've seen some sky-high valuations among AI companies lately, and it appears that Anthropic wants to use investor optimism ...

This month's LCGC Blog from Jonnie Shackman from the America Chemical Society (ACS) reflects on how early experiences with computer programming shaped the author’s understanding of fundamental logic, ...