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Articles on Trending Technologies
Technical articles with clear explanations and examples
The Ultimate Guide to Business Impact Analysis
In the volatile, uncertain, complex, and ambiguous (VUCA) world that we live in, there are new shocks awaiting business every day. There are a lot of geographical, political, and trade conflicts happening. These conflicts disrupt operations, the supply chain, customer demands, and other crucial factors for running a business smoothly. These disrupt the normal workings of a business. As a result, a BIA is required. Business Impact Analysis (BIA) and its Benefits BIA helps an organization understand what factors might disrupt the normal functioning of the organization or lead to delays in deliveries, payment cycles, raw material procurement, and others. ...
Read MoreDesign Thinking - Onboarding, Implementation, and Roadblocks
Design thinking is a creative and innovative way to fight through the actual discomfort that a consumer faces while consuming the product. It includes the assumptions an organization might have regarding its consumers and their consumption. It is also known as a customer-centric, strategic, cognitive, and innovative approach. Benefits of Design Thinking in Today’s Era Instead of spending time and effort on research and development or market surveys, big companies like Google, Apple, Microsoft, and others now prefer design thinking. It is being empathetic with the consumer throughout their purchasing, usage, and after-consumption stages. Design thinking helps in, Introducing ...
Read MoreDifference between Agile Testing and Waterfall Testing.
In the computer software testing world, there are two major software testing techniques namely Agile Testing and Waterfall Testing. Agile testing is more flexible and malleable, while waterfall testing is more structured and rigid. There are several other important differences between agile testing and waterfall testing which we will discuss in this article. But before going into the differences, let's start with some basics of agile testing and waterfall testing. What is Agile Testing? Agile testing is a software testing mechanism involving all team members where main owners are subject matter experts termed as Product Owners and testers as Quality ...
Read MoreTraining vs Testing vs Validation Sets
In this article, we are going to learn about the difference between – Training, Testing, and Validation sets Introduction Data splitting is one of the simplest preprocessing techniques we can use in a Machine Learning/Deep Learning task. The original dataset is split into subsets like training, test, and validation sets. One of the prime reasons this is done is to tackle the problem of overfitting. However, there are other benefits as well. Let's have a brief understanding of these terms and see how they are useful. Training Set The training set is used to fit or train the model. These ...
Read MoreTop 7 Artificial Intelligence and Machine Learning Trends For 2022
In this article, let’s explore 7 such areas which are promising and booming in 2022 related to Artificial Intelligence. Introduction Over the last decade, we saw tremendous growth and development in Artificial Intelligence-related technologies in almost every domain and is still becoming more relevant in the current era or decade. There have been ground-breaking research in AI and ML which has changed the current scenario of how we pursue technology infused with machine intelligence.AI related technology has found application in every domain. To name a few like Healthcare, Cybersecurity, HR Processes, Space exploration, and many more. Trends in 2022 1. ...
Read MoreRegression Analysis and the Best Fitting Line using C++
Introduction Regression Analysis is the most basic form of predictive analysis. In Statistics, linear regression is the approach of modeling the relationship between a scalar value and one or more explanatory variables. In Machine learning, Linear Regression is a supervised algorithm. Such an algorithm predicts a target value based on independent variables. More About Linear Regression and Regression Analysis In Linear Regression / Analysis the target is a real or continuous value like salary, BMI, etc. It is generally used to predict the relationship between a dependent and a bunch of independent variables. These models generally fit a linear equation, ...
Read MoreRegression Analysis and the Best Fitting Line using Python
In this tutorial, we are going to implement regression analysis and the best-fitting line using Python programming Introduction Regression Analysis is the most basic form of predictive analysis. In Statistics, linear regression is the approach of modeling the relationship between a scalar value and one or more explanatory variables. In Machine learning, Linear Regression is a supervised algorithm. Such an algorithm predicts a target value based on independent variables. More About Linear Regression and Regression Analysis In Linear Regression / Analysis the target is a real or continuous value like salary, BMI, etc. It is generally used to predict the ...
Read MoreMulticlass image classification using Transfer learning
Introduction One of the most common tasks involved in Deep Learning based on Image data is Image Classification. Image classification has become more interesting in the research field due to the development of new and high-performing machine learning frameworks. Such classification can either be binary where two classes of images are present or multiclass classification which deals with more than two image classes. Here, in this article, we are going to explore transfer learning with multiclass image classification. Multiclass Image Classification With the advancement in artificial Neural networks and the development of Convolutional Neural Networks complex operations on images have ...
Read MoreHow to split a Dataset into Train sets and Test sets in Python?
In this tutorial, we are going to learn about how to split a Dataset into a Train set and a Test set using Python Programming Introduction While creating Machine Learning and Deep Learning Models we may come across scenarios where we may want to do both training and well as evaluation on the same dataset. In such cases, we may want to divide our dataset into different groups or sets and use each set for one task or specific process (e.g. training). In such situations, we may make use of training/test sets. Need for Train and Test sets It is ...
Read MoreHow to Handle Imbalanced Classes in Machine Learning
In this tutorial, we are going to learn about how to handle imbalanced classes in ML. Introduction Generally speaking, class imbalance in Machine Learning is a case where classes of one type or observation are higher as compared to the other type. It is a common problem in Machine learning involving tasks such as fraud detection, ad click averts, spam detection, consumer churn, etc. It has a high effect on the accuracy of the model. Effects of Class Imbalance In case of such problems, the majority class overpowers the minority class while training the model. Since in such cases, one ...
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