Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
The USDSI Certified Data Science Professional (CDSP) program equips learners with industry-ready skills in Data Science, ...
Aseptic processing demands reliable, robust, and validated analytical methods to ensure sterility, safety, and quality, ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
Satyam Kumar’s rise from rural Bihar to elite research labs in the United States has emerged as one of the most remarkable academic journeys. Known fo.
The procedure is based around dynamic optical contrast microscopy (DOCI), a technique in development at UCLA since 2016. It ...
Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback