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Strelitzia alba subsp. nicolai (Regel & Körn) Maire & Weiller Strelitzia quensonii Lem. Strelitzia nicolai , commonly known as the wild banana or giant white bird of paradise , is a species of banana -like plants with erect woody stems reaching a height of 7–8 m (23–26 ft), and the clumps formed can spread as far as 3.5 m (11 ft).
Strelitzia / s t r ɛ ˈ l ɪ t s i ə / [3] is a genus of five species of perennial plants, native to South Africa. It belongs to the plant family Strelitziaceae . [ 4 ] A common name of the genus is bird of paradise flower/plant , because of a resemblance of its flowers to birds-of-paradise .
The best-known species is the bird-of-paradise flower Strelitzia reginae, grown for its flowers worldwide in tropical and subtropical gardens, and a well-known flower in floristry. The other species of Strelitzia have less colourful flowers and are grown instead for their striking foliage.
Example of an approximately 40,000 probe spotted oligo microarray with enlarged inset to show detail. Microarray analysis techniques are used in interpreting the data generated from experiments on DNA (Gene chip analysis), RNA, and protein microarrays, which allow researchers to investigate the expression state of a large number of genes – in many cases, an organism's entire genome – in a ...
Then, analyze the source data to determine the most appropriate data and model building approach (models are only as useful as the applicable data used to build them). Select and transform the data in order to create models. Create and test models in order to evaluate if they are valid and will be able to meet project goals and metrics.
The large white flowers are structurally similar to those of its relatives, the bird-of-paradise flowers Strelitzia reginae and Strelitzia nicolai, but are generally considered less attractive, with a green bract. [3] These flowers, upon being pollinated, produce brilliant blue seeds.
Kernel regression estimates the continuous dependent variable from a limited set of data points by convolving the data points' locations with a kernel function—approximately speaking, the kernel function specifies how to "blur" the influence of the data points so that their values can be used to predict the value for nearby locations.
Data science is an interdisciplinary academic field [1] that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data.