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Lobe AI
Lobe is a simple, no-code tool created by Microsoft in 2015. It helps users build and train machine learning
models without any coding skills. It’s designed for people who want to create AI models for tasks like image
classification, but don’t have a background in programming or data science. Lobe automatically trains models
based on uploaded images and allows users to export trained models for deployment.
Teachable Machine
Teachable Machine is a web-based tool developed by
Population
Google in November 2017. It allows anyone to create
machine learning models easily, without needing any
Sampling
coding knowledge. It is especially designed to help Sample Sample
people train models for tasks such as image recognition,
sound classification, and pose detection, using their
own data. The main idea behind Teachable Machine Data under investigation
is to make machine learning accessible to everyone, (very large, difficult to use)
whether you’re a beginner or not.
Important Concepts in Statistics
Before we go for Statistical Analysis, we need to understand few terms of Statistics.
Population
The complete collection of raw data available for a test or experiment is referred to as the population. It is not
always feasible to analyse patterns and trends across the entire population. Instead, you can select a sample—a
subset of the population selected for analysis. It should be representative of the population to ensure accurate
conclusions.
Statistical Sampling
Statistical sampling is a method used to select a smaller group (sample) from a larger group (population) to
study. Instead of analysing every individual in a dataset, researchers study the sample and generalize findings to
the whole population. Sampling will help you:
• Save time as you don’t need to study the complete set of data.
• It saves money and resources.
• A well-chosen sample can give you results that are close to what you’d get if you studied everyone.
Let’s say you want to know the average age of people who visit a park. You can’t ask everyone who visits the park,
but you can pick a small group of people at random to ask. If you ask the right group of people, their ages will give
you a good estimate of the average age of all visitors.
Descriptive Statistics
Descriptive Statistics summarise and describe a set of data. Instead of examining every individual number,
descriptive statistics helps us see patterns, trends, and key points about the data, making it easier to understand.
It helps answer questions like “What is typical?” or “What is the most common?” We measure Descriptive Statistics
using:
• Mean (Average): The mean is the most common way to describe the “central” or “typical” value in a set of data.
It is also known as the average. To find the mean, you add up all the numbers in your data and then divide by
how many numbers there are.
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