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A microprocessor can be defined as an electronic component of a computer system that executes the instructions to perform tasks involved in computer processing. It is the most fundamental unit of computer that executes all the functions of a CPU. Till date, several types of microprocessors have been developed. But in this article, we will learn about the two earliest microprocessors, namely, 8086 and 8088 microprocessors. Both 8086 and 8088 microprocessors are widely used in embedded systems due to their various important and unique features. This articles is primarily meant for explaining the major differences between 8086 and 8088 microprocessors. ... Read More
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 More
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 More
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 More
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 More
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 More
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 More
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 ... Read More
In this Tutorial we will learn how to create simulated data from classification in Python. Introduction Simulated data can be defined as any data not representing the real phenomenon but which is generated synthetically using parameters and constraints. When and why do we need simulated data? Sometimes while prototyping a particular algorithm in Machine Learning or Deep Learning we generally face a scarcity of good real-world data which can be useful to us. Sometimes there is no such data available for a given task. In such scenarios, we may need synthetically generated data. This data can also be from Lab ... Read More
In this article, we are going to learn about how to create Models in Keras Introduction Keras is an open-source library in Python which provides APIs for building Artificial Neural Network Models with great flexibility. Modelling in Keras can be done either using the Functional API or the Keras Sequential Model. Keras module is also available under the popular Tensorflow Library. Latest version and installation The latest version of keras as of writing this article is 2.1.0. Keras can be installed from PyPI repository using pip. Advantages of Keras for Modelling Keras is used for fast implementation due to ... Read More