Instructional Video1:49
Curated Video

Using Data to Make an Inference

9th - 12th
In this short video we will answer a standardized math test question where we are as to make an inference based on a sampling of collected data from a survey. We will use what we know about proportionality to predict what a larger...
Instructional Video4:29
KnowMo

Types of Data and Sampling in Statistics

12th - Higher Ed
This video provides an overview of different types of data and sampling methods for data collection in statistics. The speaker identifies two key types of data - quantitative and qualitative - and explains their subcategories such as...
Instructional Video17:07
Curated Video

Full Stack Web Development MASTERY Course - Novice to Expert - Create Data in MongoDB (CRUD Series)

Higher Ed
This video helps create data in MongoDB (CRUD series). This clip is from the chapter "MongoDB + Mongoose (Zero to Hero)" of the series "Full Stack Web Development Mastery Course - Novice to Expert".This section focuses on MongoDB and...
Instructional Video16:08
Curated Video

PySpark and AWS: Master Big Data with PySpark and AWS - Solution (Filter)

Higher Ed
Let's discuss the solution for the quiz on Filter() function. This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on PySpark RDDs.
Instructional Video13:22
Curated Video

Random Sampling

9th - 12th
In this math video we will learn about random sampling that is representative of a population for a survey. Students will identify if a sample of a population is a valid representation. We will learn key vocabulary - population, random...
Instructional Video4:16
Curated Video

Machine Learning Random Forest with Python from Scratch - Dataset

Higher Ed
In this lesson, we will dive into the hardcore process of machine learning and the fundamental elements used in machine learning, like datasets, training and testing data, outliers, models, and so on. This clip is from the chapter...
Instructional Video4:16
Curated Video

Machine Learning: Random Forest with Python from Scratch - Dataset

Higher Ed
In this lesson, we will dive into the hardcore process of machine learning and the fundamental elements used in machine learning, like datasets, training and testing data, outliers, models, and so on. This clip is from the chapter...
Instructional Video10:27
Curated Video

From 0 to 1 Data Structures & Algorithms in Java - Linked Lists vs Arrays

Higher Ed
Learn how you can make an informed choice between Linked lists and arrays which solve the same kind of problems, holding a list or a collection. This clip is from the chapter "Linked Lists" of the series "From 0 to 1: Data Structures &...
Instructional Video4:10
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Sets: Homework

Higher Ed
In this video, we will cover homework. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Instructional Video4:52
TED-Ed

TED-Ed: The method that can "prove" almost anything | James A. Smith

Pre-K - Higher Ed
In 2011, a group of researchers conducted a study designed to find an impossible result. Their study involved real people, truthfully reported data, and commonplace statistical analyses. So how did they do it? The answer lies in a...
Instructional Video12:35
Professor Dave Explains

Techniques for Sampling and Analysis in Dendrochronology

9th - Higher Ed
We now know what dendrochronologists do. They examine tree rings. But precisely how do they do this? How do they collect the data? How do they analyze it? This is a very involved question, but let's try to answer it by investigating the...
Instructional Video8:36
Curated Video

Machine Learning Random Forest with Python from Scratch - Dictionaries

Higher Ed
Let's look at the final datatype, dictionaries, indexed, changeable, and unordered data collection. This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python from Scratch©".This...
Instructional Video8:36
Curated Video

Machine Learning: Random Forest with Python from Scratch - Dictionaries

Higher Ed
Let's look at the final datatype, dictionaries, indexed, changeable, and unordered data collection. This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python from Scratch©".This...
Instructional Video4:08
SciShow

The Wow! Signal

12th - Higher Ed
Deep in an archive in Columbus, Ohio, there's a slip of paper with a bunch of random-looking letters and numbers printed on it called the âWow' signal.
Instructional Video8:30
Curated Video

Machine Learning Random Forest with Python from Scratch - Sets

Higher Ed
Our next datatype is a set, an unordered collection of iterable and mutable data. This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python from Scratch©".This section focuses on...
Instructional Video8:30
Curated Video

Machine Learning: Random Forest with Python from Scratch - Sets

Higher Ed
Our next datatype is a set, an unordered collection of iterable and mutable data. This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python from Scratch©".This section focuses on...
Instructional Video13:49
Curated Video

Probability Statistics - The Foundations of Machine Learning - Two Random Variables - Joint Probabilities

Higher Ed
In this video, we will cover two random variables with the help of an example. This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine...
Instructional Video5:30
Curated Video

Making Inferences about a Population Using Random Samples

K - 5th
In this lesson, students will learn how to use random sampling to make inferences about a population with an unknown characteristic. They will understand the importance of having a representative sample and the limitations of making...
Instructional Video10:47
KnowMo

Introduction to Sampling: How to Select a Representative Sample

12th - Higher Ed
This video is a lecture about sampling, which is a method used to collect and analyze data about a population. The lecturer explains that it is often not feasible to collect data from every member of a population, so a sample is taken...
Instructional Video4:56
FuseSchool

What Is Statistics

6th - Higher Ed
"CREDITS Animation & Design: Jean-Pierre Louw (www.Behance.com/ Jean-Pierre_Louw) Narration: Lucy Billings Script: Lucy Billings In this video we’re going to look at sampling and bias in statistics. Statistics is it’s own branch of...
Instructional Video11:58
Curated Video

Alteryx Advanced - Machine Learning Part 3

Higher Ed
This video covers more advanced topics related to ML, such as ensemble methods, deep learning, and reinforcement learning; it also provides examples of how these techniques can be used to solve real-world business problems. This clip is...
Instructional Video4:30
FuseSchool

What Is Environmental Sampling?

6th - Higher Ed
From this video you will learn that ecologists are interested in the distribution of organisms within habitats, and use transects and quadrats and other sampling methods to collect quantitative data. They take unbiased and representative...
Instructional Video5:46
Curated Video

Modern JavaScript from the Beginning - Second Edition - Mongoose Schema and Model

Higher Ed
In this video, we will define a Mongoose schema for our ideas collection, which will specify the fields and their data types. We will also create a Mongoose model based on the schema, which will allow us to perform database queries. This...
Instructional Video7:48
Curated Video

Machine Learning Random Forest with Python from Scratch - Structure

Higher Ed
In this video, we will discuss the structures of a Random Forest, namely forest, tree, leaf node, and decision node. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python...