A.I, Data and Software Engineering
Topic modelling is a type of statistical modelling for discovering the abstract “topics” that occur in a collection of documents. Latent Dirichlet Allocation (LDA) is an example of a topic model and is used to classify text in a document to a particular topic. It builds a topic per document model and words per topic model, modelled as Dirichlet distributions. Here, we are...
In many cases, it is convenient to perform mathematical operations on objects rather than numerical values. Python classes have the ability to emulate the behaviour of numeric values to support operations like addition and subtraction. You can override many more to support number-like functionality. Numeric functions In the following table, the right column contains expressions...
This article demonstrates more advanced features of Python classes and their customisation. Specifically, how enum objects are created, class to strings, and computed attribute. Class string values A string is typically an informal representation of the object. However, it’s just a nicely in human-readable form. Python provides 2 common methods, i.e. str() and repr(). We can...
In this article, we’ll learn about a Python language construct known as comprehensions for creating a new sequence based on existing one but its syntax is more human-readable than lambda functions. These can be applied to lists, sets, and dictionaries. REVIEW Lambda and map Lambda is an anonymous function (function without name). Let have a quick look at the following example for...
In part 2, we introduced advanced python knowledge with built-in functions and other useful tools for sequence iteration, data transformation. Advanced python part 3 will continue with collections to manipulate our data. Named tuple Suppose we want to define a data structure to represent a geometric point on a typical x and y-axis. We could easily do this by defining a regular...
A.I, Data and Software Engineering