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Unleashing the Power of Pre-existing Knowledge in Machine Learning : K-Based Classifiers

Knowledge-Based Classification Algorithms Knowledge-Based Classification Algorithms Knowledge-based classification algorithms refer to a category of machine learning algorithms that employ pre-existing knowledge or rules to classify novel instances or data points. The algorithms in question are dependent on a knowledge base, which is a compilation of established patterns, rules, or associations among attributes, for the purpose of predicting outcomes or assigning class designations to unobserved data. In contrast to conventional classification algorithms that acquire patterns or rules directly from the training data, knowledge-based classification algorithms utilise pre-existing knowledge or domain expertise to steer the classification procedure. Pre-existing knowledge can be sourced from human experts or obtained from pre-existing resources such as databases, ontologies, or expe...

Demystifying Ground Truth, Gold Standard, and Benchmark Terms in Image and Machine Learning

 Building a ground truth image is an important task in many image classification projects, especially in medical imaging or in projects that require expertise in labeling objects. However, for many other tasks, such as classifying vegetation in an image, building a labeled image can be easy and simple with the help of unsupervised learning models.                                                                       Ground truth refers to a set of measurements or conditions that serve as a benchmark or target for a classification system or machine learning algorithm. Here are some examples of what ground truth can mean in different contexts: In object recognition, ground truth can refer to a set of labeled images that have been manually annotated by human experts. These label...

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The Eco-Friendly Way to Build: Making Cow Dung Bricks with Biochar and Lime

Build a greener future with biochar and lime-infused cow dung bricks If you're looking for an eco-friendly and sustainable way to build, consider making cow dung bricks. Not only are they a low-cost alternative to traditional fired clay bricks, but they also use waste materials like cow dung and biochar. Biochar is a charcoal-like substance that is made by burning organic materials in the absence of oxygen. It is a byproduct of biomass pyrolysis, a process that turns plant waste into energy. Biochar is known for its high carbon content, which makes it an excellent soil amendment and a potential solution to reducing greenhouse gas emissions. To make cow dung bricks with biochar, you will need the following materials: 1)   Cow dung 2)   Biochar 3)   Lime or Chona  4)   Methi water (Water fermented with fenugreek seeds) Here's a step-by-step guide on how to make cow dung bricks using these materials: Mix the cow dung with biochar and lime in a 2...

Can we make cow dung brick using Cow Dung, lime and sodium Silicate?

Cow dung: 🐮🌾🧩 Lime: 🏻🧑‍🔬🔳 Sodium silicate: 🔰🧑‍💼👀                                                                                                                    "Yes, 🙌 cow dung bricks 🧩 can also be made 💡 using the combination 💼 of cow dung, 🐮 lime, 🏻 and sodium silicate. 🔰 Here are the suggested properties 🧑‍🔬 of the ingredients 🧑‍💼 that need to be checked 🔳 before using them 🏻 for cow dung brick making: 🐮🏻🧑‍🔬🌾🧩" Properties of Cow Dung: Moisture content: should be around 15-20% Ash content: should be less than 10% pH value: should be neutral to slightly acidic (around 6-7) Fibre content: should be less...

The Risks of Relying Too Much on ChatGPT: What You Need to Know

Are you using ChatGPT to perform tasks? Beware of these potential risks! ChatGPT is a powerful language model that can be used to perform a variety of tasks, from writing creative content to generating code. However, there are some potential risks associated with relying too much on ChatGPT. Reduced critical thinking One of the biggest risks of using ChatGPT is that it can lead to reduced critical thinking skills. When we use ChatGPT to do our thinking for us, we are essentially outsourcing our cognitive abilities to a machine. This can make us lazy and less likely to think critically about the information that we are presented with. Dependency Another risk of using ChatGPT is that we can become dependent on it. Once we get used to having ChatGPT do our thinking for us, it can be difficult to break free from its grip. This can lead to problems when ChatGPT is not available or when it does n...