Instructional Video6:07
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Project II_ Stock Price Prediction: Problem Statement

Higher Ed
In this video, we will cover the problem statement.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Instructional Video6:16
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Project II_ Stock Price Prediction: Activity

Higher Ed
In this video, we will cover activity.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Instructional Video13:29
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Modelling RNN Model Text Generation

Higher Ed
In this video, we will cover modelling RNN model text generation.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
Instructional Video5:47
Instructional Video6:40
Curated Video

AWS Certified Data Analytics Specialty 2021 - Hands-On! - Machine Learning 101

Higher Ed
This video focuses on machine learning.
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This clip is from the chapter "Appendix-Machine Learning Topics for the Amazon Web Services (AWS) Certified Big Data Exam" of the series "AWS Certified Data Analytics Specialty 2021...
Instructional Video8:15
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Model Performance Metrics: The Confusion Matrix

Higher Ed
In this video, we will cover the confusion matrix.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Instructional Video3:37
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Regression

Higher Ed
In this video, we will cover regression.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Instructional Video9:25
The Guardian

Super dogs: the race to win America’s most famous dog show

Pre-K - Higher Ed
You've seen them on TV – the dogs who run, jump, balance and zigzag on specially designed obstacle courses in the ultra-competitive sport of dog agility. We meet the dedicated handlers looking for major honours at the world famous...
Instructional Video4:07
Curated Video

Using Survey Results to Predict Population Preferences

K - 5th
This video explains how to use survey results to make predictions for a whole population. It uses the example of Chris surveying 80 students in a school of 300 and finding that 44 prefer chocolate ice cream.
Instructional Video4:36
Curated Video

Interpret Slope Using Line of Best Fit

K - 5th
In this lesson, students will learn how to use data and the line of best fit to predict the impact of additional study hours on test scores. They will understand that an exact relationship between variables guarantees a specific outcome,...
Instructional Video12:01
APMonitor

Data Science 🐍 Time Series

10th - Higher Ed
Time series data is produced sequentially as new measurements are recorded. Models derived from the data give insight into what happens next. They also show how the system can be changed to achieved a different future...
Instructional Video2:27
Science360

Mystery of the Mojave - understanding nitrogen loss from desert soil

12th - Higher Ed
Available nitrogen is second only to water as the biggest constraint to biological activity in arid ecosystems, but ecologists have struggled to understand the balance of the input and output of nitrogen in deserts. However, researchers...
Instructional Video1:51
Fun Robotics

Classification vs Regression

3rd - 12th
Explains the difference between classification and regression problems.
Instructional Video4:01
Curated Video

Predicting the Product: Multiplying Mixed Numbers by Whole Numbers

K - 5th
In this video, the teacher explains how to predict the product of a mixed number multiplied by a whole number using visual representations. The students learn to consider the scaling factor and compare it to the original number to...
Instructional Video3:34
Curated Video

GCSE Secondary Maths Age 13-17 - Probability & Statistics: Time Series Graph - Explained

9th - 12th
SchoolOnline's Secondary Maths videos are brilliant, bite-size tutorial videos delivered by examiners. Ideal for ages 13-17, they cover every key topic and sub topic covered in GCSE Maths in clear and easy to follow...
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 Video7:57
Curated Video

Predictive Analytics with TensorFlow 1.2: A Basic Introduction to Predictive Analytics

Higher Ed
In this video, we will see working principles of predictive model. We will also see why to choose predictive analytics. We will also look at some linear algebra.<br/>
• Look at the working principle of predictive model
Instructional Video3:52
Science360

The genetic path to biodiversity - Science Nation

12th - Higher Ed
Genome editing tool CRISPR helps reveal genetic regulation behind colors and patterns in butterfly wings



Description: Butterflies and moths constitute 10 percent of all known biodiversity in terms of numbers of...
Instructional Video3:44
Curated Video

Statistics for Data Science and Business Analysis - A2. No Endogeneity

Higher Ed
In this video, the second assumption of OLS, no endogeneity, is explained.
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This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This...
Instructional Video0:44
Next Animation Studio

The difference between lava flows and fissures

12th - Higher Ed
Hawaii's Big Island continues to be plagued by volcanic eruptions, which have destroyed several homes and forced roughly 2,000 people to evacuate.
Instructional Video4:37
Science360

Ancient Ice And Our Planets Future

12th - Higher Ed
Deep in the interior of Antarctica scientists unlock the secrets of our planet's past.
Instructional Video5:16
de Dicto

Towards automated fact checking with Andreas Vlachos: From identifying falsehoods to suggestion mechanisms

Higher Ed
Are human and machine fact checkers shifting from identifying falsehoods to suggestion mechanisms?<br/>
Towards automated fact checking with Andreas Vlachos, Part 4
Instructional Video3:18
IDG TECHtalk

Using the goto keyword | Smart Go

Higher Ed
Learn about Go's goto keyword, which can simplify the logic of your code -- but when used responsibly and sparingly.
Instructional Video3:31
Weatherthings

Sun, Heat, Air and Wind: weather instruments, wind speed and direction

6th - 8th
A curious pre-school child asks questions to a big kid about how weather works. Every answer is enlightening yet leads to another question. The little child learns that wind is air that moves, that may be gentle or strong and even...