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

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 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

This article let us see some of the common challenges Machine Learning Engineers face today. Introduction Today when Machine Learning has become the cutting-edge technology in every domain or industry, the number of Machine Learning folks has considerably grown and so is the challenge to implement an Artificial Intelligence project from start to finish, from drafting the concept to bringing the concept to production. The path of a Machine Learning Engineer is not easy as he /she faces numerous challenges along this path. Collection of Good Quality Data Yes, this is true. We cannot deny the fact that today data ... Read More

In this article we are going to learn how to predict stock price direction using Support Vector Machines. Machine Learning is an Artificial Intelligence application that is improving the way the world functions in every discipline. At its essence, it is an algorithm or model that identifies patterns in a specific data collection and then predicts the learned patterns on generic data. In layman's words, it's the concept that robots learn a pattern and adjust through experience to make correct and repeatable conclusions. In this post, we will look into Predicting Stock Price Direction Using Support Vector Machines. Let’s begin. ... Read More

Artificial intelligence (AI) is the capacity of a machine created artificially to think and act logically or human-like. The study of the rational agent and its surroundings can be used to define an AI system. Agents use sensors to perceive their surroundings and actuators to take action on it. Knowledge, belief, purpose, and other mental attributes can exist in an AI agent. AI agents are directly related to PEAS. In this piece, we'll take a closer look at PEAS and some of its examples. What are PEAS Descriptors? PEAS is an AI agent representation system that focuses on evaluating the ... Read More

Data preparation is a necessary step before modeling in the field of data science. We must do a number of activities during the data preparation process. One such important task is encoding categorical data. As is well known, the majority of data in the real world has categorical string values, while the majority of machine learning models only operate with integer values. However, certain models can work with other values that are more complex but still intelligible to the model. In essence, all models carry out mathematical operations that can be done with a variety of tools and approaches. But ... Read More

The world is always changing due to advancements in science and technology. The advancements in AI technology are expanding exponentially. People can't envision living without AI products since they have become so reliant on them. In this post, we will discuss the emergence of Artificial Intelligence. Artificial Intelligence Artificial intelligence allows machines to accomplish tasks that humans do, learn from experience, adapt to new inputs, and perform learning from experience (AI). Today's self-driving cars and chess-playing computers are only two examples of AI applications that heavily rely on deep learning and natural language processing. Using these technologies, it is possible ... Read More

Anyone who has encountered reinforcement learning (RL) knows that the Bellman Equation is an essential component of RL and appears in many forms throughout RL. By merging several RL functions, the Bellman equation aids in producing more calculated and better-bearing outcomes. In this post, we will first go over some of the fundamental terms related to reinforcement learning, then we'll get into the meat of some of the equations that are frequently used in reinforcement learning, and finally, we'll take a deep dive into the Bellman Equation. What is Reinforcement Learning? Reinforcement learning is a form of machine learning that ... Read More