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In this video, we will discuss random variables, which represent the outcomes of random events, the Central Limit Theorem, which states that the means of large samples become normally distributed, and the binomial distribution, which counts the number of successes in fixed, independent trials with two possible outcomes.

In this lecture video, we will discuss the following topics: Probability: Basic concepts and importance. Interpretations: Classical, empirical, subjective. Addition Rule: Probability of one or both events. Multiplication Rule: Probability of multiple events (independent/dependent). Counting Rules: Multiplication and addition principles. Permutations & Combinations: Counting arrangements and sel...

In this lecture video, we will discuss: Correlation shows the relationship between two variables, often visualized with scatter plots. The coefficient of correlation measures the strength of this relationship, while the coefficient of determination indicates how much variance is explained. Linear regression predicts outcomes based on this relationship.

Topics cover measures of location include the mean (average), median (middle value), and mode (most frequent value). Measures of variation assess data spread, with variance quantifying the dispersion and standard deviation providing the average distance from the mean. Quartiles divide the data into four parts, and boxplots visually summarize the distribution and spread of these quartiles.

Topics covers various methods for displaying and analyzing data, including notation techniques and graphical representations such as stem-and-leaf displays, dotplots, and histograms.

Polymorphism is an object-oriented programming concept that enables a single method to perform different tasks based on the object it interacts with. In Java, polymorphism allows an object to take multiple forms, letting methods behave differently depending on the object they operate on. It is achieved through method overloading and method overriding.

Inheritance is a mechanism that allows one class to inherit the properties and behaviors of another class. By using inheritance, information is organized hierarchically, making it more manageable.

Classes and objects are the fundamental concepts of object-oriented programming. A class is a blueprint or template for creating objects. An object is an instance of a class. A class defines the data and behavior of a category of objects. It can contain fields to represent the data, and methods to represent the behavior.

A Java fundamentals lecture typically covers the core concepts and essential topics to understand the Java programming language. A Java fundamentals lecture covers key concepts such as Java's platform independence (JVM, JRE, JDK), data types (primitive and reference), and variable declaration. It introduces various operators (arithmetic, relational, logical) and control statements like conditio...

Post-quantum cryptography aims to develop new cryptographic algorithms that are secure against both classical and quantum attacks.

Artificial Intelligence (AI) is a field of computer science that aims to create intelligent machines that can perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and decision-making. Artificial Intelligence technologies include machine learning, natural language processing, computer vision, robotics, and more.

Autonomous vehicle, also known as a self-driving car, is a vehicle that can navigate and operate on its own without the need for human intervention. Self-driving car uses a combination of sensors, cameras, GPS, and advanced computing technologies to perceive its environment and make decisions based on that data.

Our research paper presents an Explainable Artificial Intelligence model using a Random Forest classifier to predict soil fertility with high accuracy and provide user-friendly explanations of the factors influencing soil fertility, aiming to assist farmers in making informed decisions to improve soil quality and agricultural productivity in a sustainable manner. Please refer our research artic...

The study introduces a novel deep learning model, Concatenated Xception-ResNet50 (X-R50), which achieves a high accuracy of 97.8% in classifying skin cancer into seven types using the HAM10000 dataset, outperforming other state-of-the-art models, and validates its effectiveness through statistical hypothesis testing, suggesting its potential to aid clinicians in early and accurate skin cancer d...

J12. Springer Educational Journal

J10. IEEE Access Journal - RIAMS

J9. A novel DeepNet model for the efficient detection of COVID-19

4. Operating System CPU Scheduling

1. Operating Systems Concepts

7. Operating System File System Interface

6. Operating System Mass Storage

5. Operating System Memory Management

3. Operating System Processes

2. Operating System Structures

7. Information Security Maintenance

6. Cryptography

5. Intrusion Detection and Prevention Systems

4. Security Technology [Access Controls, Firewalls and VPNs]

3. Legal, Ethical and Professional Issues in Information Security