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Confusion Matrix with Real-Life Examples || Artificial Intelligence || ~...

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Learn about the Confusion Matrix with Real-Life Examples. A confusion matrix is a table that shows how well an AI model makes predictions. It compares the actual results with the predicted ones and tells which are right or wrong. It includes True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN). Video Chapters: Confusion Matrix in Artificial Intelligence 00:00 Introduction 00:12 Confusion Matrix 03:48 Metrices Derived from Confusion Matrix 04:26 Confusion Matrix Example 1 05:44 Confusion Matrix Example 2 08:10 Confusion Matrix Real-Life Uses #artificialintelligence #machinelearning #confusionmatrix #algorithm #optimization #research #happylearning #algorithms #meta #optimizationtechniques #swarmintelligence #swarm #artificialintelligence #machinelearning
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Coronavirus vs Human Respiratory system

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Coronavirus 

Coronavirus disease 2019 (COVID-19) is a new disease. This virus is a major problem. Coronaviruses are named for the crown-like spikes on their surface. Coronavirus disease (COVID-19) is an infectious disease caused by a new virus. The disease causes respiratory illness (like the flu) with symptoms such as a cough, fever, and in more severe cases, difficulty breathing.

 What is Coronavirus?                        

  Coronaviruses (CoV) are a large family of viruses.

How does the Virus works? 

viruses work by getting inside the cells your body is made of and then hijacking them.

How Do Coronavirus works?   

  It first infects the cells lining your throat, airways, and lungs and turns them into coronavirus factories. 

Different Types of Cells in the Human Body include.

Stem cell, bone cell, blood cell, skin cell, muscle cell, sex cell, cancer cell, nerve cell, and fat cell.

Protection from Coronavirus.- Take steps to protect yourself

  • Cover your Mouth and Nose when Coughing and Sneezing.
  • Avoid close contact with anyone showing symptoms of respiratory illness such as Coughing and Sneezing.
  • Spread from contact with contaminated surfaces or objects
  • Avoid touching your eyes, nose, and mouth with unwashed hands.
  • Wash your hands often with soap and water for at least 20 seconds. https://www.youtube.com/watch?v=a8UiZWlAUcw Coronavirus

The human respiratory system is a series of organs responsible for taking in oxygen and expelling carbon dioxide. These organs include the nose, pharynx, larynx, trachea, bronchi, and lungs. Diseases and conditions of the respiratory system fall into two categories: Infections, such as influenza, bacterial pneumonia, and enterovirus respiratory virus, and chronic diseases, such as asthma.

 What is Hantavirus?

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PARTICLE SWARM OPTIMIZATION ALGORITHM NUMERICAL EXAMPLE

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Cuckoo Search Algorithm for Optimization Problems

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Particle Swarm Optimization (PSO)

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Particle Swarm Optimization (PSO) is a p opulation-based stochastic search algorithm. PSO is inspired by the Social Behavior of Birds flocking. PSO is a computational method that Optimizes a problem. PSO searches for Optima by updating generations. It is popular is an intelligent metaheuristic algorithm.  In Particle Swarm Optimization the solution of the problem is represented using Particles. [Flocking birds are replaced with particles for algorithm simplicity]. Objective Function is used for the performance evaluation for each particle / agent in the current population. After a number of iterations agents / particles will find out optimal solution in the search space. Q. What is PSO? A. PSO is a computational method that Optimizes a problem. Q. How PSO will optimize? A. By Improving a Candidate Solution. Q. How PSO Solve Problems? A. PSO solved problems by having a Population (called Swarms) of Candidate Solutions (Particles). Local and global optimal solutions are used to ...
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PSO Python Code || Particle Swarm Optimization in Python || ~xRay Pixy

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Grey Wolf Optimization Algorithm

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 Grey Wolf Optimization Algorithm  (GWO) Grey Wolf Optimization Grey Wolf Optimization Algorithm is a metaheuristic proposed by Mirjaliali Mohammad and Lewis, 2014. Grey Wolf Optimizer is inspired by the social hierarchy and the hunting technique of Grey Wolves. What is Metaheuristic? Metaheuristic means a High-level problem-independent algorithmic framework (develop optimization algorithms). Metaheuristic algorithms find the best solution out of all possible solutions of optimization. Who are the Grey Wolves? Wolf (Animal): Wolf Lived in a highly organized pack. Also known as Gray wolf or Grey Wolf, is a large canine. Wolf Speed is 50-60 km/h. Their Lifespan is 6-8 years (in the wild). Scientific Name: Canis Lupus. Family: Canidae (Biological family of dog-like carnivorans). Grey Wolves lived in a highly organized pack. The average pack size ranges from 5-12.  4 different ranks of wolves in a pack: Alpha Wolf, Beta Wolf, Delta Wolf, and Omega Wolf. How Grey Wolf Optimiza...
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Bat algorithm Explanation Step by Step with example

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Grey Wolf Optimization Algorithm Numerical Example

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Whale Optimization Algorithm Code Implementation || WOA CODE || ~xRay Pixy

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