Algorithms Articles - Page 14 of 51

Our level of artificial intelligence (AI) maturity, as well as the types of challenges that AI might be able to assist us in resolving, grows in tandem with the ever-increasing volume of data that we produce. This data, along with the incredible computing power that is now available for a price that is affordable, is what is fuels the tremendous growth that has been seen in AI technologies, and it is also what makes deep learning and reinforcement learning possible. In this article, I will explain the difference between Deep Learning and Reinforcement Learning by providing definitions that are clear ... Read More

Both MD5 and SHA1 are hashing algorithms. MD5 is simple and fast, but it does not provide good security. SHA1 is complex as compared to MD5 and it provides greater level of security.Read through this article to find out more about these two hashing algorithms and how they are different from each other.What is MD5?MD stands for Message Digest. MD5 is a hashing algorithm that produces a 128-bit hash value.Although MD5 was created with the intention of using it as a cryptographic hash function, it has been discovered to have several flaws. Yet, it is extensively used.MD5 can be used ... Read More

In data mining, there are two major predication problems, namely, classification and regression. The most basic difference between classification and regression is that classification algorithms are used to analyze discrete values, whereas regression algorithms analyze continuous real values. The output variable must be either continuous nature or real value. The output variable in classification has to be a discrete value. In contrast, the output variable in regression must be either continuous in nature or real values. In this article, we will discuss all the important differences between classification and regression. Let's start with some basics of Classification and Regression so ... Read More

In this post, we will understand the difference between linear data structure and non-linear data structure.Linear Data StructureThe elements of such a structure are arranged sequentially.Every element can be accessed by traversing through the linear structure.All the elements of a linear structure are at a single level, i.e there is no hierarchy.They are easy to implement and use.They utilize more memory, hence they are not very memory-friendly.The time complexity of linear data structure usually increases when the size of the structure increases.Examples include- list, array, stackThe below shows an example of a list in Python.my_list = [45, 42, 12, 34, ... Read More

Both Procedural and Non-procedural Languages are widely used in the development of applications and other computer software. Both these types of languages have different approaches on the basis of which we can differentiate them. In this article, we will discuss the important differences between procedural and non-procedural programming languages. Let's start with some basics of procedural and nonprocedural language. What is a Procedural Language? Procedural languages are command-driven or statement-oriented programming languages. A program written using a procedural programming language includes a sequence of statements, and the implementation of each statement generates the interpreter to modify the value of one ... Read More

In this post, we will understand the differences between aggregation and association.AssociationIt can be understood as an organization of people that have a common purpose. It also indicates that they consist of a formal structure. It represents a binary relationship between the two objects that describe some kind of activity.It is a relationship between multiple objects.An example would be how consuming healthy food is related not just to a healthy weight, but to good skin, good hair, strength and being active.Association is a relationship between two classes where one class uses the other class.It is not flexible in natureThis indicates ... Read More

In this post, we will understand the differences between full virtualization and paravirtualizationFull VirtualizationThis process was introduced by IBM in the year 1966. It is considered to be the first software solution for server virtualization. It uses binary translation and a direct approach method.In this, the guest OS is fully isolated using the virtual machine from the virtualization layer and hardware.Examples of full virtualization include Microsoft and Parallels systems.The virtual machine permits the execution of the instructions in addition to running the unmodified OS in a completely isolated method.It is considered to be less secure in comparison to paravirtualization.It uses ... Read More

In this post, we will understand the differences between flood fill algorithm and boundary fill algorithm. They are area-filling algorithms, and they can be differentiated based on whether a random pixel has the region's original colour or not.Flood-fill algorithmIt is also known as seed fill algorithm.It calculates the area that is connected to a given node with respect to a multi-dimensional array.It works by filling up or recolouring a specific area that contains different colours in the inside part, and hence, the boundary of the image.It is represented by a picture that has a neighbourhood which has borders and has ... Read More

Algorithm and Pseudocode are the two related terms in computer programming. The basic difference between algorithm and pseudocode is that an algorithm is a step-by-step procedure developed to solve a problem, while a pseudocode is a technique of developing an algorithm. In this article, we will discuss the other important differences between an algorithm and a pseudocode. Let's start with some basic concepts of algorithm and pseudocode. What is an Algorithm? A sequence of steps to solve a given problem is called as algorithm. Thus, an algorithm is a step-by-step procedure developed for solving a given problem. An ... Read More

In this post, we will understand the differences between the greedy algorithm and dynamic programming methods.Greedy algorithmIt is an algorithmic paradigm that builds up on a solution in parts, step by step. The next step is chosen such that it gives the most obvious and immediate benefit.Problems that involve choosing local optimal values will help in choosing the global optimal values/solution to the problem. Such ate the problems associated with greedy algorithm.There is no surety that a greedy algorithm would lead to an optimal solution.An optimal choice is made at every stage of the problem, i.e the local optimal solution.It ... Read More