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In the modern age of information technology, cybersecurity is still one of the most pressing concerns due to the increasing number of hacking occurrences. Because of the widespread digitization of so many facets of our life, both the public and private sectors stand to suffer significant losses in the event of a data breach. Consequently, specialists in the field of cybersecurity are positioned to have various safeguards and preventative measures to ensure the safety of sensitive data and transactional records. It is a massive task, especially considering the sheer quantity and diversity of such assaults that are accessible today. As ... Read More
In this day and age, proper safeguards against cybercrime are necessary for any contemporary company's continued existence, expansion, and prosperity. Cybersecurity professionals will be in high demand for at least until the year 2023. Even though cyber security is rapidly expanding, finding qualified experts to work on it may take time and effort. The value of the worldwide cybersecurity industry is expected to increase to $202 billion by 2023, up from $170 billion in 2017. It represents a growth rate of 17%. The number of vacant positions in the field of cyber security has soared throughout the last few years. ... Read More
In August and September, the New Zealand Stock Exchange was one of the most targeted cyber attacks, leading to many trades suspension. Simultaneously, EasyJet, a global low-cost airline with its headquarters in London, said that a sophisticated breach had led to the disclosure of the personal information of around 9 million customers. The report published by The Wall Street Journal stated that malicious malware was implanted into the Orion program developed by the information technology firm SolarWinds. Hackers could access sensitive information from various institutions in the United States, including hospitals, universities, government agencies, and Fortune 500 companies. According to ... Read More
Consumers and businesses alike have gotten used to the concept that sophisticated computer facilities handle such as data collecting, processing, and analysis. These facilities are responsible for managing the acquisition of data. In large part, this development may be ascribed to the IoT, which is expected to have 64 billion linked devices in operation all over the globe by 2026. According to projections provided by Business Insider, customers will have spent close to $15 trillion on Internet of Things (IoT) devices, solutions, and infrastructure by the time 2023 rolls around. Presents Increasing Security Risks The rapidly developing Internet of Things ... Read More
Array of Integers refers to an array where all the elements are of Integer type. It is alsocalled an Integer array. As per the problem statement we have to create an Integer array and display the array elements where all the array elements are the product of other elements of the array. In this article, we will see how to replace array elements by the product of other array elements by using Java programming language. To show you some instances − Instance-1 int arr[] = { 2, 3, 1, 4, 6 } At Index-0 value will be = 3 * ... Read More
IntroductionIn Machine Learning and Data Science Exploratory Data Analysis is the process of examining a data set and summarizing its main characteristics about it. It may include visual methods to better represent those characteristics or have a general understanding of the dataset. It is a very essential step in a Data Science lifecycle, often consuming a certain time.In this article, we are going to see some of the characteristics of the Iris dataset through Exploratory Data Analysis. The Iris Dataset The Iris Dataset is very simple often referred to as the Hello World. The dataset has 4 features of three ... Read More
Introduction Monitoring online systems, especially which are data intensive is extremely essential for a continuous health check, analyzing and detecting downtimes, and improving performance. The percentile−based method is a very efficient technique to gauge the behavior of such a system. Let's have a look at this method. A General Refresher What are percentiles and why are they useful? In statistics, the value which indicates that below which a certain group of observations falls is called a percentile or centile. For example, for a student, if he/she has scored 90 percentile marks, it means that 90% of the students have scored ... Read More
Introduction GrowNet is a novel gradient-boosting framework that uses gradient-boosting techniques to build complex neural networks from shallow deep neural networks. The shallow deep neural networks are used as weak learners. GrowNets today are finding applications in diverse domains and fields. A Brief Refresher of Gradient Boosting Algorithms. Gradient Boosting is the technique to build models sequentially and these models try to reduce the error produced by the previous models. This is done by building a model on the residuals or errors produced by the previous model. It can estimate a function using optimization using numerical methods. The most common ... Read More
Introduction Handwritten Digit Recognition is a part of image recognition widely used in Computer Vision in Deep learning. Image recognition is one of the very basic and preliminary stages of every image or video−related task in Deep Learning. This article lets an overview of Handwritten Digit Recognition and how Image recognition can be extended to multiclass classification. Before going ahead let us understand the difference between Binary and Multiclass image classification Binary Image Classification In Binary image classification, the model has two classes to predict from. For example in the classification of cats and dogs. Multiclass Image Classification In Multiclass ... Read More
Introduction Simultaneous Localization and Mapping or SLAM is a method that let us build a map and locate our vehicles on that map at the same time. SLAM algorithms are used for unknown environment mapping and simultaneous localization. How is SLAM useful? Engineers can use SLAM for avoiding obstacles and also use them for path planning. SLAM software allows robot systems, drones, or autonomous vehicles to find paths in unknown environments and difficult terrains. This process involves a high amount of computing and processing power. SLAM can be useful for mapping areas that are too small or dangerous for ... Read More