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SciShow
Wheezy Waiter on Movie Science, Mutant Flu Facts, and 2 Sounds You've Never Heard!
Wheezy Waiter announces the SciShow nominees for "Worst Science in a Film," & Hank talks about the bird flu and shares two sounds that had never been heard by human ears until very recently.
SciShow
Where's My Bloodless Blood Sugar Monitor
There are about 450 million diabetics around the world, and while we do already have a reliable way of measuring blood sugar, it requires patients to prick their finger each time they want a reading. Is there a better way?
TED Talks
Jessica Green: Are we filtering the wrong microbes?
Should we keep the outdoors out of hospitals? Ecologist and TED Fellow Jessica Green has found that mechanical ventilation does get rid of many types of microbes, but the wrong kinds: the ones left in the hospital are much more likely to...
SciShow
Football Disease, Moon Base Dreams, and the Deepest Vents Ever!
Hank breaks the news to you about your brain on football, the reality behind the latest moon-base plan, and an epic win -- and fail -- in the animal kingdom.
Crash Course
Training Neural Networks
Today we’re going to talk about how neurons in a neural network learn by getting their math adjusted, called backpropagation, and how we can optimize networks by finding the best combinations of weights to minimize error. Then we’ll send...
SciShow
Data Mining: How You're Revealing More Than You Think
Data mining recently made big news with the Cambridge Analytica scandal, but it is not just for ads and politics. It can help doctors spot fatal infections and it can even predict massacres in the Congo.
TED Talks
TED: How to use data to make a hit TV show | Sebastian Wernicke
Does collecting more data lead to better decision-making? Competitive, data-savvy companies like Amazon, Google and Netflix have learned that data analysis alone doesn't always produce optimum results. In this talk, data scientist...
TED Talks
TED: This computer will grow your food in the future | Caleb Harper
What if we could grow delicious, nutrient-dense food, indoors anywhere in the world? Caleb Harper, director of the Open Agriculture Initiative at the MIT Media Lab, wants to change the food system by connecting growers with technology....
Crash Course
Supervised Machine Learning - Crash Course Statistics
We've talked a lot about modeling data and making inferences about it, but today we're going to look towards the future at how machine learning is being used to build models to predict future outcomes. We'll discuss three popular types...
TED Talks
TED: A smart loan for people with no credit history (yet) | Shivani Siroya
Trust: How do you earn it? Banks use credit scores to determine if you're trustworthy, but there are about 2.5 billion people around the world who don't have one to begin with -- and who can't get a loan to start a business, buy a home...
Crash Course
Unsupervised Machine Learning - Crash Course Statistics
Today we're going to discuss how machine learning can be used to group and label information even if those labels don't exist. We'll explore two types of clustering used in Unsupervised Machine Learning: k-means and Hierarchical...
TED Talks
TED: The human insights missing from big data | Tricia Wang
Why do so many companies make bad decisions, even with access to unprecedented amounts of data? With stories from Nokia to Netflix to the oracles of ancient Greece, Tricia Wang demystifies big data and identifies its pitfalls, suggesting...
TED Talks
TED: How I hacked online dating | Amy Webb
Amy Webb was having no luck with online dating. The dates she liked didn't write her back, and her own profile attracted crickets (and worse). So, as any fan of data would do: she started making a spreadsheet. Hear the story of how she...
Crash Course
Regression - Crash Course Statistics
Today we're going to introduce one of the most flexible statistical tools - the General Linear Model (or GLM). GLMs allow us to create many different models to help describe the world - you see them a lot in science, economics, and...
Bozeman Science
Student's t-test
In this video Paul Andersen explains how to run the student's t-test on a set of data. He starts by explaining conceptually how a t-value can be used to determine the statistical difference between two samples. He then shows you how to...
Crash Course
Measures of Spread - Crash Course Statistics
Today, we're looking at measures of spread, or dispersion, which we use to understand how well medians and means represent the data, and how reliable our conclusions are. They can help understand test scores, income inequality, spot...
Crash Course
Charts Are Like Pasta - Data Visualization Part 1 - Crash Course Statistics
Today we're going to start our two-part unit on data visualization. Up to this point we've discussed raw data - which are just numbers - but usually it's much more useful to represent this information with charts and graphs. There are...
Bozeman Science
Standard Deviation
In this video Paul Andersen explains the importance of standard deviation. He starts with a discussion of normal distribution and how the standard deviation measures the average distance from the mean, or the "spread" of data. He then...
Crash Course
Plots, Outliers, and Justin Timberlake Data Visualization Part 2 - Crash Course Statistics
Today we’re going to finish up our unit on data visualization by taking a closer look at how dot plots, box plots, and stem and leaf plots represent data. We’ll also talk about the rules we can use to identify outliers and apply our new...
Curated Video
How to Find the MEDIAN | HS.S-ID.A.1
In the short math video we will learn how to find the median of a set of data displayed in a dot plot.
>Grade 10
Statistics a
nd Probab
ility
S-ID.A.1
Determine the median value of real-world data d
isplayed in...
>Grade 10
Statistics a
nd Probab
ility
S-ID.A.1
Determine the median value of real-world data d
isplayed in...
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Impact of Scaling and Shifting
In this video, we will look at the impact of the data changes we make with underlying data in the measures of central tendency or dispersion.
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Two-Way ANOVA – F-Ratio and Conclusions
In this video, let's learn to calculate the F ratio for the two-way ANOVA, interpret the results, and draw conclusions.