Aditya Chatterjee's Blog, page 199

pv command in Linux

pv is a terminal-based (command-line based) tool in Linux that allows us for the monitoring of data being sent through pipe. The full form of pv command is Pipe Viewer.

pv helps the user by giving him a visual display of the following,

Time Elapsed
Completed Progress (percentage bar)
Current data transfer speed (also reffered as throughput rate)
Data Transfered
ETA (Estimated Time) (Remaining time)

For installing pv command,

debian based Operating System

$ apt-get install pv

Reading packag...

Overview of Generative Adversarial Networks (GANs) and their Applications

Today we cover Generative Adversarial Networks – or GANs for short. GANs are some of the most impressive things that we can do using deep learning (a sub-field of Machine Learning). We shall first see how they work, and then see some interesting and recent applications.

Introductory Machine Learning courses cover basic models that can be used for prediction (like regression), or for clustering and classification. However, GANs are used for generation, a completely different type of problem.

Usi...

Classification and Regression Trees: Advanced Methods (with C4.5 algorithm)

In a previous post on CART Algorithm, we saw what decision trees (aka Classification and Regression Trees, or CARTs) are. We explored a classification problem and solved it using the CART algorithm while also learning about information theory.

In this post, we show the popular C4.5 algorithm on the same classification problem and look into advanced techniques to improve our trees: such as random forests and pruning.

C4.5 Algorithm for Classification

The classification problem discussed in the p...

Classification and Regression Trees (CART) Algorithm

Classification and Regression Trees (CART) is only a modern term for what are otherwise known as Decision Trees. Decision Trees have been around for a very long time and are important for predictive modelling in Machine Learning.

As the name suggests, these trees are used for classification and prediction problems. This is an introductionary post about the fundamentals of such decision trees, that serve the basis for other modern classifiers such as Random Forest.

These models are obtained by p...

OrderedDict objects in Python

Reading time: 15 minutes | Coding time: 5 minutes

An ordereddict is a subclass of the dictionary object in Python.

A dictionary stores items which are values associated with a key. They are called key: value pairs where a key can be used to retrieve its paired value. Within one dictionary, keys should be unique as to differentiate each key: value pair.

ordereddicts have certain advantages when compared to regular dictionaries.

Advantages compared to normal dictionary object:

OrderedDicts are o...

Different ways to sort a counter in Python

The different ways to sort a counter in Python are:

Using the Counter.most_common([N]) method
Using .sorted() to sort just the keys
Using .sorted() to sort values on the given (key,value) pairs

The official python document defines a counter as follows:

“A Counter is a dict subclass for counting hashable objects. It is an unordered collection where elements are stored as dictionary keys and their counts are stored as dictionary values. Counts are allowed to be any integer value including zero...

Control Statements in Java

Java has three sets of control statement that might be utilized to change the progression of execution of a program. The first set of statements is called selection statements. In these statements, the different paths of execution are depending upon the result of a test condition. The second type of control statement is the loop or iteration statements, which make the computer repeatedly, evaluate a statement or a block of statements so that the final output can be obtained. The third type of c...

Idea behind Load Balancer

Reading time: 30 minutes

Modern High traffic websites take a billion of requests at one time from different users and return the response in the form of either text,videos or images .We can see that the site delivers the content without any failures.

So, may be the question arise in our mind ,how the server deals with these large no of requests

And in the traditional client-server architecture,web application are deployed on the server.User send the request to the server and server sent back th...

Overview of Graph Neural Networks

Graph neural network (GNN) is a special kind of network, which works with a graph as a data sample. The typical neural network works with arrays, while GNN works with graphs.

Now before we dive into the technicalities of GNN, let us (re)visit graphs.

Graphs are nothing but the connection of various nodes (vertices) via edges. The nodes, as well as edges, have their values depending on the data.

Mathematically graphs are represented as a function of vertices and edges like follows:

G = Ω (V,E)

T...

Header file math.h in C language

Welcome to this article on math.h header file that we can use in C language to perform various mathematical operations like square root, trigonometric functions and a lot more.

I know it can be a tedious task to go through a bunch of articles in order to find what you're searching for in particular, that's why in this article I'll try to get you familiar with this header file upto an extent where you will be able to understand its usecase and also the functions included in it.

I have divided t...