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Articles on Trending Technologies
Technical articles with clear explanations and examples
Why is Python the most popular programming language among ML professionals?
From process automation to web development to AI-based projects to machine learning, Python is used everywhere, and it helps developers to be productive and confident about the software they are building. Today, because of the benefits like simplicity, consistency, extensive set of libraries, platform independence, flexibility, and a wide community support, Python has become one of the most favored programming languages among machine learning professionals.Simplicity and Consistency − Machine learning relies on complex algorithms and workflows, but it is Python’s simplicity that allows machine learning developers to build reliable applications. Python is so simple that the developers do not need ...
Read MoreWhat are the various challenges for machine learning practitioners?
While machine learning is rapidly evolving, it still has a long way to go. The reasons behind this are the various challenges an ML practitioner faces while developing an application. Let’s take a look at these challenges −Data collection − Data plays the most important role in developing any machine learning application. Most of the work of an ML practitioner lies in collecting good quality data. If you are a beginner and want to experiment with machine learning, you can find datasets from Kaggle or UCI ML Repository. But if you want to implement real case scenarios or need to ...
Read MoreFind the number of subarrays have bitwise OR >= K using C++
In this article, we will provide a brief explanation on solving the number of subarrays that have bitwise OR>=K in C++. So we have an array arr[] and an integer K, and we have to find the number of subarrays that have OR(bitwise or) greater than or equal to K. So here is the example of the given problem −Input: arr[] = {1, 2, 3} K = 3 Output: 4 Bitwise OR of sub-arrays: {1} = 1 {1, 2} = 3 {1, 2, 3} = 3 {2} = 2 {2, 3} = 3 {3} = 3 4 sub-arrays have ...
Read MoreWhat are different components of a machine learning algorithm?
To understand various components of a machine learning algorithm, we first understand the definition of machine learning given by Professor Mitchell −“A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.”As we can see the above definition, the main components of any machine learning algorithm are Task(T), Performance(P), and Experience(E).Based on these three components, let’s simplify the definition of machine learning −Machine learning is a subset of Artificial Intelligence (AI) and a field ...
Read MoreFind the Number of Stopping Stations using C++
There are n number of intermediate train stations between point X and Y. Count the number of different ways trains can be arranged to stop at s stations such that no two stations are next to each other. So in this article, we will explain every possible approach to find out the number of stopping stations. Looking at the problem, we can find that we need to find combinations by which trains can be stopped at s number of stations.Approaches to Solve the ProblemLet's take an example that there are eight intermediate stations and we need to find the ways ...
Read MoreFind the Number of solutions for the equation x + y + z <= n using C++
In this article, we will explain the approaches to find the number of solutions for the equation x+y+z
Read MoreWhich linear function of SciPy is used to solve triangular matrix equations?
The linear function named scipy.linalg.solve_triangular is used to solve the triangular matrix e8quation. The form of this function is as follows −scipy.linalg.solve_triangular(a, b, trans=0, lower=False, unit_diagonal=False, overwrite_b=False, debug=None, check_finite=True)This linear function will solve the equation ax = b for x where a is a triangular matrix.P ParametersBelow are given the parameters of the function scipy.linalg.solve_triangular() −a− (M, M) array_likeThis parameter represents the triangular matrix.b− (M, ) or (M, N)array_likeThis parameter represents the right-hand side matrix in the equation ax = b.lower− bool, optionalBy using this parameter, we will be able to use only the data that is contained in the ...
Read MoreFind the Number of Sink Nodes in a Graph using C++
In this article, we will describe the important information on solving the number of sinks nodes in a graph. We have a Directed Acyclic Graph with N nodes (1 to N) and M edges in this problem. The goal is to find how many sink nodes are there in the given graph. A sink node is a node that does not produce any outgoing edges. So here is a simple example −Input : n = 4, m = 2 Edges[] = {{2, 3}, {4, 3}} Output : 2Simple Approach to Find the SolutionIn this approach, we will go through ...
Read MoreFind the Number of Siblings of a Given Node in N-ary Tree using C++
In this article, we will provide complete information to determine the number of siblings of a given node in the n-ary tree. We need to find the node's siblings with the value of key as given by the user; if it is non, then output as -1. There is only one approach that we can use −Simple ApproachIn this approach, we will go through all the nodes and check if a child has the same value as the user. If it exists, we answer a number of children - 1(the given value).Example #include using namespace std; class Node { ...
Read MoreFind the Number of segments where all elements are greater than X using C++
In this article, we have to find the number of segments or subarrays in a given sequence where elements greater than the given number X.We can count overlapping segments only once, and two contiguous elements or segments should not count separately. So here is the basic example of the given problem −Input : arr[ ] = { 9, 6, 7, 11, 5, 7, 8, 10, 3}, X = 7 Output : 3 Explanation : { 9 }, { 11 } and { 8, 10 } are the segments greater than 7 Input : arr[ ] = { 9, 6, ...
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