Instructional Video12:23
Bozeman Science

AP Biology Science Practice 1: Models and Representations

12th - Higher Ed
In this video Paul Andersen explains the importance of models and visual representations in an AP Biology class. Science practices are overarching skills and knowledge required to be successful in an AP Biology classroom. Models for each...
Instructional Video4:55
SciShow

The Brewer Who Secretly Revolutionized Statistics | Great Minds: William Gosset

12th - Higher Ed
When you have a study with a small sample size, how do you know that the results represent the broader population? Well, thanks to a brewer who needed to assess beer quality in the early 1900s, we now have a simple statistical test that...
Instructional Video4:48
TED-Ed

TED-Ed: What is "normal" and what is "different"? | Yana Buhrer Tavanier

Pre-K - Higher Ed
The word "normal" is often used as a synonym for "typical," "expected," or even "correct." By that logic, most people should fit the description of normal. But time and time again, so-called normal descriptions of our bodies, minds, and...
Instructional Video10:41
Crash Course

Mean, Median, and Mode Measures of Central Tendency - Crash Course Statistics

12th - Higher Ed
Today we’re going to talk about measures of central tendency - those are the numbers that tend to hang out in the middle of our data: the mean, the median, and mode. All of these numbers can be called “averages” and they’re the numbers...
Instructional Video7:49
Bozeman Science

Standard Deviation

12th - Higher Ed
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...
Instructional Video10:45
Crash Course

The Normal Distribution - Crash Course Statistics

12th - Higher Ed
Today is the day we finally talk about the normal distribution! The normal distribution is incredibly important in statistics because distributions of means are normally distributed even if populations aren't. We'll get into why this is...
Instructional Video10:41
Crash Course

The Shape of Data Distributions - Crash Course Statistics

12th - Higher Ed
When collecting data to make observations about the world it usually just isn't possible to collect ALL THE DATA. So instead of asking every single person about student loan debt for instance we take a sample of the population, and then...
Instructional Video3:00
Curated Video

Freak Waves

6th - 12th
Why scientists dispelled rumours of extreme waves at sea, based on flawed mathematics. Maths - Statistics And Probability A Twig Math Film. Reinforce and extend the learning required by the curriculum. Twig’s context films show abstract...
Instructional Video3:26
Curated Video

Why Do Shares Change Price?

6th - 12th
What are shares, and what affects their price? Discover why share price is not only dictated by monetary value, and why this makes trading a risky business. Maths - Statistics And Probability A Twig Math Film. Reinforce and extend the...
Instructional Video3:04
Curated Video

Inductive Effect: The Hidden Forces in Molecules

9th - Higher Ed
The inductive effect refers to the electron-donating or withdrawing influence that substituents exert on a molecule through sigma bonds. Electronegative atoms or groups pull electron density away from the rest of the molecule, while...
Instructional Video10:38
Curated Video

Machine Learning: Random Forest with Python from Scratch - Using NumPy for Random Forest

Higher Ed
In this lesson, you will learn about the NumPy tool available in the Python library and look at the advantages of using NumPy. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with...
Instructional Video8:09
Curated Video

Fundamentals of Neural Networks - Lab 1 - Introduction to Convolutional 1-Dimensional

Higher Ed
This video demonstrates convolutional operations in 1-dimension. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you...
Instructional Video9:40
Curated Video

Fundamentals of Neural Networks - Linear Regression

Higher Ed
This video explains statistical machine learning, where you will start with the linear regression model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Instructional Video19:29
Curated Video

Introduction to FinTech Using R - How to Time Stock Market

Higher Ed
In this video, you will learn how to time the stock market and will focus on the coding aspect of how the algorithm is designed. This clip is from the chapter "Stock Market Timing" of the series "Introduction to FinTech Using R".In this...
Instructional Video3:10
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - PDF and CDF

Higher Ed
In this video, you will learn how to calculate PDF and CDF under normal distribution. This clip is from the chapter "SciPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will...
Instructional Video14:40
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Generating Data

Higher Ed
In this video, we will discuss how to generate data. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into the world of...
Instructional Video3:53
Curated Video

Identify Distribution of Data by Observing Bell Curves

K - 8th
Identify Distribution of Data by Observing Bell Curves identifies the distribution of data given by observing bell curves.
Instructional Video6:32
Curated Video

R Programming for Statistics and Data Science - Distributions

Higher Ed
This video explains distributions. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
Instructional Video5:34
Curated Video

Julia for Data Science (Video 20)

Higher Ed
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...
Instructional Video36:52
APMonitor

Data Engineering Summary Statistics

10th - Higher Ed
Summary statistics give valuable insights as one of the first steps in data engineering after the data is gathered. Statistics help to assess data quality and diversity. Data discovery with statistics is a common first activity and there...
Instructional Video6:17
Packt

Julia for Data Science (Video 25)

Higher Ed
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...
Instructional Video12:06
APMonitor

Data Science 🐍 Statistical Analysis

10th - Higher Ed
Once data is read into Python, a first step is to analyze the data with summary statistics. This is especially true if the data set is large. Summary statistics include the count, mean, standard deviation, maximum, minimum, and quartile...
Instructional Video6:53
Curated Video

Comparing Treatments Using Resampling: Determining the Effectiveness of New Salt Substitute and Fertilizer

K - 5th
In this video, the teacher explains how researchers can determine if there is a difference between two treatments using a resampling strategy. They use examples of comparing salt substitutes and fertilizers to demonstrate the process. By...
Instructional Video9:12
Curated Video

Design a computer system using tree search and reinforcement learning algorithms : Creating a Bandit with 4 Arms Using Python and Numpy

Higher Ed
From the section: The Multi-Armed Bandit. In this section, we will learn about the basics and look at one of the most foundational concepts in Reinforcement Learning – The Multi-Armed Bandit We construct a model of a MAB environment from...