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Articles on Trending Technologies
Technical articles with clear explanations and examples
Carving Your Path to Project Management Office
Project managers are in charge of the projects and make important decisions about how andwhen to work. However, project management is a broad field with endless routes. There are many different types of project management, such as Six Sigma or lean project management.With so many paths, knowing which path is best for you can take time and effort. What is a Project Management Office? A Project Management Office (PMO) is a specialized business unit within an organization that is responsible for the effective and efficient management of projects. A PMO should delineate its authority, processes, resources, and goals. How to ...
Read MorePredicting Stock Price Direction using Support Vector Machines
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 MorePEAS Descriptors of Task Environment
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 MoreGuided Ordinal Encoding Techniques
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 MoreEmergence Of Artificial Intelligence
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 MoreWhat is Bellman Equation in Reinforcement Learning?
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 MoreAI Conversational System in Attack Surface Areas and Effective Defense Techniques
Artificial intelligence (AI) that enables real-time, human-like dialogue between a machine and a human is known as conversational AI. The fact that conversational AI is a fusion of several technologies, such as natural language processing (NLP), machine learning, deep learning, and contextual awareness, must be emphasized. Chatbots are one of the most popular conversational AI applications because they employ natural language processing (NLP) to interpret user input and carry on a conversation. Voice assistants, virtual assistants, and chatbots for customer service are examples of this usage. As the technology and use cases for these automated dialogues advance, there is a ...
Read MoreGolang Program to extract the last two digits from the given year
In this tutorial we will discuss how to write a GO program to extract the last two digits of a given year. This program takes any year as input and prints its last two digits. You need to extract the last two digits from a given year, by using the modulus operation. Modulus Operation The % operator is the modulus operator, which returns the remainder rather than the quotient after division. This is useful for finding numbers that are multiples of the same number. As the name suggests where there is an execution to be operated required to deal with ...
Read MoreDifference between Automatic Stabilizers and Discretionary Policy
During times of economic instability, governments may be forced to take drastic actions. It's possible that to fund certain programs, the government may need to make changes to the country's fiscal policy in areas like taxes. The rules often affect customers' ability to spend, which has repercussions for the economy. Governments may take several economic policies, including automatic stabilizers and discretionary policies. You'll have a better handle on the economy and be able to make more educated financial decisions if you're familiar with these policies. Here, we'll compare and contrast automatic stabilizers with arbitrary government action to see which is ...
Read MoreDifference between Austerity and Stimulus
It may be necessary for the government to take monetary policies for the economy to fulfill its macroeconomic objectives. Analysts, financial professionals, economists, and investors contribute to the deliberation process by submitting studies on monetary policy options for a country to consider. The necessity to regulate consumption, inflation, liquidity, and expansion to support long−term, sustainable economic growth often necessitates this. The government may pursue a monetary policy by, for example, altering the necessary reserve ratio of banks, buying or selling government bonds, controlling the cost of foreign exchange, or adjusting interest rates. The government has several tools at its disposal, ...
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