Mastering data structures and algorithms is a transformative journey for any aspiring software engineer. It’s not just about acing technical interviews but also about building a strong foundation for problem-solving in real-world scenarios. Here’s how I navigated the path to mastering these fundame...
Aman, J., Close, D., and Kopec, D. (1999) Panel presentation: "How Should Data Structures and Algorithms Be Taught?" In Proceedings of the Conference on Innovation and Technology in Computer Science Education, ITiCSE'99, Krakow, Poland....
"Generative Design combines parametric design and artificial intelligence together with the restrictions and data included by the designer. According to Celestino Soddu, a researcher at the Politecnico di Milano, “it is a morphogenetic process that uses structured algorithms like...
Unlike traditional methods, SDB harnesses the power of Deep Learning and AI/ML algorithms to extract more accurate and reliable genetic information from sequencing data. It navigates the intricacies of complex sequences, adeptly addresses challenges posed by secondary structures ...
Design the data structures for a social network View exercise and solution Design a key-value store for a search engine View exercise and solution Design Amazon's sales ranking by category feature View exercise and solution Design a system that scales to millions of users on AWS ...
In Section 4, we give the design of our empirical study, mainly with regard to the construction of the dataset and classification. Section 5 presents the study results while further discussing our findings in Section 6. The next Section 7 reports threats to the validity of our experiments, ...
Computational techniques have provided the field of drug discovery with enormous advances over the last decades. The development of methods covering dynamical aspects in protein–ligand binding is currently leading computer-aided drug design to new level
structures. We employ extensive all-atom molecular dynamics simulations to dissect the complete substrate exchange cycle of the bacterial NO3−/NO2−antiporter, NarK. We show that paired basic residues in thebinding siteprevent the closure of unbound protein and ensure the exchange of two ...
People usually believe they are better integrators than algorithms, because their experience allows them to weight and combine cues more appropriately [55]. However, a meta-analysis of 136 studies revealed that, on average, algorithms are 10% more accurate [56]. The effect size varies with ...
Months 4-6: Learn core AI concepts, including machine learning algorithms, model building, and deep learning basics. Months 7-9: Specialize in areas like NLP, computer vision, or AI for business. Work on real-world projects. Months 10+: Keep improving! Follow AI research, contribute to proj...