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Programming Articles
Page 2118 of 2547
Find the Number of subarrays having sum of the form k^m, m >= 0 using C++
In this article, we will explain everything about solving the number of subarrays having the sum of the form k^m, m >= 0 in C++. Given an array arr[] and an integer K, we need to find the number of subarrays having sum in the form of K^m where m is greater than equal to zero, or we can say we need to find the number of subarrays having sum equal to some non-negative power of K.Input: arr[] = { 2, 2, 2, 2 } K = 2 Output: 8 Sub-arrays with below indexes are valid: [1, 1], ...
Read MoreHow to solve triangular matrix equations using Python SciPy?
The linear function named scipy.linalg.solveh_triangular is used to solve the banded matrix equation. In the below given example we will be solving the triangular system ax = b where −$$\mathrm{a} = \begin{bmatrix} 3 & 0 & 0 & 0\ 2 & 1 & 0 & 0\ 1 &0 &1 &0 \ 1& 1& 1& 1 \end{bmatrix};\; \mathrm{b} =\begin{bmatrix} 1\ 2\ 1\ 2 \end{bmatrix}$$Examplefrom scipy.linalg import solve_triangular import numpy as np a = np.array([[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 1, 0], [1, 1, 1, 1]]) b = np.array([1, 2, 1, 2]) x = solve_triangular(a, b, lower=True) print (x)Outputarray([ 0.33333333, 1.33333333, 0.66666667, -0.33333333])
Read MoreWhat is Reinforcement Learning? How is it different from supervised and unsupervised learning?
In reinforcement learning methods, a trained agent interacts with a specific environment and takes actions based upon the current state of that environment.The working of reinforcement learning is as follows −First you need to prepare an agent with some specific set of strategies.Now leave the agent to observe the current state of the environment.Based on the agent's observation, select the optimal policy, and perform suitable action.Based on the action taken, the agent will get reward or penalty.Update the set of strategies used in step 1, if needed. Repeat the process from step1-4 until the agent learns and adopts the optimal ...
Read MoreWhat are the different learning styles in machine learning algorithms?
There are four learning styles in machine learning algorithms. Let’s have a look at them −Supervised LearningSupervised learning, one of the most used methods in ML, takes both training data (also called data samples) and its associated output (also called labels or responses) during the training process. The major goal of supervised learning methods is to learn the association between input training data and their labels. For this it performs multiple training data instances.Based on machine learning based tasks, we can divide supervised learning algorithms in two classes namely Classification and Regression.Unsupervised LearningUnsupervised learning methods, (opposite to supervised learning methods) ...
Read MoreFind the Number of subarrays having sum less than K using C++
In this article, we will find out the number of subarrays having a sum less than K using C++. In this problem, we have an array arr[] and an integer K. So now we have to find subarrays that have a sum less than K. Here is the example −Input : arr[] = {1, 11, 2, 3, 15} K = 10 Output : 4 {1}, {2}, {3} and {2, 3}Approach to Find SolutionNow we will use two different methods to solve the given problem −Brute ForceIn this approach, we will iterate through all the subarrays and calculate their sum and ...
Read MoreFind the Number Of Subarrays Having Sum in a Given Range in C++
In this article, we will solve the number of subarrays having sum in a given range using the C++ program. We have an array arr[] of positive integers, and a range {L, R} and we have to calculate the total number of subarrays having sum in the given range form L to R. So here is the simple example for the problem −Input : arr[] = {1, 4, 6}, L = 3, R = 8 Output : 3 The subarrays are {1, 4}, {4}, {6}. Input : arr[] = {2, 3, 5, 8}, L = 4, ...
Read MoreWhy 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 ...
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