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- Dictionaryrobust/rə(ʊ)ˈbʌst/
adjective
- 1. strong and healthy; vigorous: "the Caplan family are a robust lot" Similar Opposite
- 2. (of wine or food) strong and rich in flavour or smell: "a robust mixture of fish, onions, capers and tomatoes" Similar Opposite
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Jun 30, 2024 · Definitions of robustly. adverb. in a robust manner. “he was robustly built” Cite this entry. Style: MLA. "Robustly." Vocabulary.com Dictionary, Vocabulary.com, https://www.vocabulary.com/dictionary/robustly. Accessed 30 Jun. 2024. Copy citation. Examples from books and articles. loading examples... Word Family. robustly. the "robust" family.
Jun 29, 2024 · In this comprehensive guide, we will delve into the intricacies of building robust APIs, an essential skill for any data engineer or developer. You will gain practical insights into the art and science of crafting APIs that not only enable data flow but do so with reliability, efficiency, and scalability in mind.
Jun 25, 2024 · Based on robust sample coherence, we define robust coherent and incoherent statistics, respectively, as $$\begin{aligned} {\tilde{\delta }}_C(d) = |{\tilde{\gamma }}(0,d,N)|^2,~~ {\tilde{\delta }}_I(d) = \frac{1}{L+1} \sum _{k=0}^L |{\tilde{\gamma }}(kB, kB+d,B)|^2. \end{aligned}$$
Jun 20, 2024 · This article explored various feature transformation in machine learning and scaling techniques available in the scikit-learn library, such as MinMax Scaler, Standard Scaler, MaxAbs Scaler, Robust Scaler, Quantile Transformer, Log Transform, Power Transformer, Normalizer, and Custom Transformer.
4 days ago · Leakey, 1959. Paranthropus is a genus of extinct hominin which contains two widely accepted species: P. robustus and P. boisei. However, the validity of Paranthropus is contested, and it is sometimes considered to be synonymous with Australopithecus. They are also referred to as the robust australopithecines.
Jun 20, 2024 · In statistics, maximum likelihood estimation ( MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed data. This is achieved by maximizing a likelihood function so that, under the assumed statistical model, the observed data is most probable.