In the modern world, here and there ideas are arising about using data science for an extra benefit. For instance, Google can use a history of watched videos for providing recommendations about new ones. Online shops are using a recommendation system for increasing your receipt. However… if companies use the data for their benefit, could we do the same for own needs such as looking an online English teacher?
It is an approach based on my own experience and can be unsuitable to your point of view, ideas, or principles.
When Alex Garland’s series Devs (on FX and Hulu) came out this year, it gave developers their own sexy Hollywood workup. Who knew that coders could get snarled into murder plots and love triangles just for designing machine learning programs? Or that their software would cause a philosophical crisis? Sure, the average day of a developer is more code writing than murder but what a thrill to author powerful new program.
Despite the number, this is the third article about reactive programming. Today we are going to talk about how to handle side effects while using unidirectional approaches.
Sometimes, when we surf dribbble, uplabs and similar design clouds, we often find many concepts or prototypes with animations, micro interactions, application flow and so on.
I often find illustrations of mobile apps that are good and interesting, but of course they are still in the form of concept, so therefore, why don't we try to apply them as an interface for applications that we will build next.
In the Dribbble Challenge we will try to build an interface for Coffee Ordering, as I found on Dribble.
A linked list is a linear data structure, which contains node structure and each node contains two elements. A data part that stores the value at that node and next part that stores the link to the next node as shown in the below image:
The first node also known as HEAD is usually used to traverse through the linked list. The last node (next part of the last node) points to NULL. The list can be visualized as a chain of nodes, where every node points to the next node.
In PHP, singly linked list can be represented as a class and a Node as a separate class. The LinkedList class contains a reference of Node class type.
//node structure
class Node {
public $data;
public $next;
}
class LinkedList {
public $head;
//constructor to create an empty LinkedList
public function __construct(){
$this->head = null;
}
};
Artificial Intelligence or AI has gone far beyond its beginning and self-driving cars, virtual assistants, Google Lens, and personalized marketing, are some of the initial powerful applications of AI. The present generation is yet to witness the true potential of AI in the years to come. Companies are investing huge amounts of money to leverage the power of AI and build applications that offer best-in-class solutions to real-world problems.
Broadly speaking, AI is one of the powerful fields of computer science which focuses on making machines capable of mimicking human actions. Such machines are not explicitly programmed and it learns from past experiences to make decisions quite similar to what humans do through their brain. When one starts exploring AI, it is inevitable to come across its subset i.e. Machine Learning. Further deep learning is a subset of machine learning.
People who use Kibana in our company have different background — some of them are technical who process data, some are managers who simply want to monitor some KPIs. And all have various questions. In spite of Kibana is rather popular in IT companies, there are not many articles or courses about it. To fill the gap I have created Kibana Tips & Tricks — weekly letters with frequently asked questions or themes. Such letters help our users to become more familiar with Kibana. There are no secrets — just detailed description of how you may work with your data.I would like to share the first part of 'Kibana Tips & Tricks' with you — series of simple how-to articles for people who would like to know more about data analysis and visualization in Kibana. Today we will see how to view events in Kibana.
