Science is a learning process that involves experimentation, failure and revision -- and the science of medicine is no exception. Cancer researcher Kevin B. Jones faces the deep unknowns about surgery and medical care with a simple...

Pupil outcome: I can explain why the mean is useful and when it is not appropriate representation of a set of data Key learning points: - If there is an outlier or value that does not fit with the set the mean average will not be...

Pupil outcome: I can evaluate the range as a measure of spread, including a consideration of outliers. Key learning points: - The range can be affected by outliers in the data. - Removing these outliers will change the value of the...

Pupil outcome: I can recognise outliers and understand whether they should be included in the data set. Key learning points: - Outliers can be visually seen on a scatter graph. - Outliers do not necessarily occur at the start/end of the...

Let's look at outliers, the data points of a dataset that differ from others and are usually excluded by visualizing a dataset.
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This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning:...

In the second part of the data cleaning process, we will look at an outlier in detail and learn how to correct or remove the outlier.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning:...

In this video, you will learn to use Alteryx Designer to build and train machine learning models, prepare data for machine learning, how to select appropriate algorithms and techniques, and evaluate model performance.
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In this math video we will learn how to interpret a scatter plot. We will review how to read a scatter plot and identify data points. We will determine the relationship between x and y axis and specific points. We define an outlier as a...

"Statistical Measures" explains mean, median, mode, mean absolute deviation, range, and interquartile range.

Stanford University psychologist Carol Dweck describes the difference between a fixed and a growth mindset and describes how her primary school years were shaped by a rigorously fixed-mindset teacher who lined all students up by IQ ranking.

In this video, the teacher explains how to identify patterns and associations in a scatter plot using a standardized math test question as an example. The viewer is guided through each answer choice and taught to recognize outliers,...

Robin Hood has a flawless track record. That is, until he completely misses the mark one day! Does this spell the end of his successful career? This lesson will wrap up our discussion of reliability by examining the effects of outliers...

We know that Robin Hood is an accurate and reliable archer, but just how good is he? Is his aim god-like, or is he subject to the errors and imperfections of mortals? This lesson will continue investigating the concept of reliability,...

Robin Hood has a flawless track record. That is, until he completely misses the mark one day! Does this spell the end of his successful career? This lesson will wrap up our discussion of reliability by examining the effects of outliers...

Measurements from sensors or from human input can contain bad data that negatively affects machine learning. This tutorial demonstrates how to identify and remove bad data with Numpy and Pandas.



Data cleansing is the...

From the section: Build a Threat Model and Learn Different Attacks on AI. In this section, you will create a high-level threat model for AI solution to choose the right priorities against various threats.



The aim of this...

This video describes the importance of not relying solely on the mean, as outliers can skew the data, and emphasize the significance of considering the median and MAD (mean absolute deviation) for a more accurate representation of the...

We know that Robin Hood is an accurate and reliable archer, but just how good is he? Is his aim god-like, or is he subject to the errors and imperfections of mortals? This lesson will continue investigating the concept of reliability,...

The video is a tutorial that explains how to draw lines of best fit on scatter graphs to identify correlation between two variables and make predictions based on the trend of the data. The video demonstrates examples of scatter graphs...

From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images.



CNN-Industry Live Project: Playing with Real World Natural Images:...

👉 Learn how to find the mean, the median, and the mode of a set of data. The (arithmetic) mean of a set of data is the average of the set of data and is obtained by adding up the numbers in the set of data and dividing it by the count of...

In this video, I show you how to perform a Dixon Q-test on a data set, and how to interpret the Q-values for discarding a data point.<br/>

In this video, I show you how to calculate the quantity, Parts-per-Thousand [ppt], for a data set to determine whether or not your data is precise.<br/>

In this video, we do a sample problem for the Dixon-Q test.<br/>