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The Java Streams API simplifies working with a collection of elements. Because streams turn these elements into a pipeline, you could test them using a set of conditions (known as predicates), before finally acting on those that meet your criteria. The filter() method is one such operation that tests the...
Hiram Kamau
Design patterns help make code understandable, scalable, and reusable. There are different categories of design patterns, depending on the problems being addressed. When code is modularized, it's easier to add newer features without making drastic changes to the project. The Abstract Factory Design Pattern is a creational pattern that provides...
Sathiya Sarathi Gunasekaran
REST APIs are an industry-standard way for web services to send and receive data. They use HTTP request methods to facilitate the request-response cycle and typically transfer data using JSON, and more rarely - HTML, XML and other formats. In this guide, we will create a REST API in Python...
Naazneen Jatu
Graphs are one of the most useful data structures. They can be used to model practically everything - object relations and networks being the most common ones. An image can be represented as a grid-like graph of pixels, and sentences can be represented as graphs of words. Graphs are used...
Mila Lukic
NumPy is the most popular mathematical computing Python library. It offers a great number of mathematical tools including but not limited to multi-dimensional arrays and matrices, mathematical functions, number generators, and a lot more. One of the fundamental tools in NumPy is the ndarray - an N-dimensional array. Today, we're...
Bilal Hamada
Streams don't hold any data by themselves - they just stream it from a source. Yet, common code routines expect some sort of a structure to hold results after processing data. That is why, after (optional) intermediate operations, the Stream API provides ways to convert the elements that it may...
This guide is an in-depth introduction to an unsupervised dimensionality reduction technique called Random Projections. A Random Projection can be used to reduce the complexity and size of data, making the data easier to process and visualize. It is also a preprocessing technique for input preparation to a classifier or...
Mehreen Saeed
Every single search algorithm consists of: The current state of the problem Possible actions that can be done in order to change that state The ability to recognize the final state - our goal When it comes to Artificial Intelligence, there are two types of search algorithms: Uninformed search algorithms...
In this guide, we'll be taking a look at an unsupervised learning model, known as a Self-Organizing Map (SOM), as well as its implementation in Python. We'll be using an RGB Color example to train the SOM and demonstrate its performance and typical usage. Self-Organizing Maps: A General Introduction A...
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