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Accuracy
An accurate measurement is one that is close to the true value, though it may show a spread of values around the correct value when the measurement is repeated. A Twig Science Glossary Film. Key scientific terms defined in just 60...
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Precision
How repeatable a measurement is. A Twig Science Glossary Film. Key scientific terms defined in just 60 seconds using stunning images and concise textual definitions. Twig Science Glossary Films reinforce abstract concepts and key...
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Distorted Graphs: Heat wave
What does this graph show? Information is gradually built up throughout the film to show not only why some information is vital to an accurate graph, but why lack or skewing of information can lead to misrepresentation. Maths -...
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The Great Global Warming Debate: Part 1
Can we rely on thermometer readings alone as proof of global warming? Do satellite temperature readings lead to the same conclusions? Earth Science - Human Impacts - Learning Points. Small increases in average global temperatures have...
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Measuring the Earth
The story of how a Persian scholar calculated the Earth's circumference over 1000 years ago, using only a mountain and trigonometry. Maths - Shape A Twig Math Film. Reinforce and extend the learning required by the curriculum. Twig’s...
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Jai Singh
How Maharaja Jai Singh used scale to build and enhance the accuracy of his giant astronomical sundials. Maths - History Of Maths A Twig Math Film. Reinforce and extend the learning required by the curriculum. Twig’s context films show...
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Mind Control
When the largest study ever asked whether humans could control machines with their minds, the results were surprising. But aside from study size, were these astounding results significant? Maths - Statistics And Probability A Twig Math...
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Variables: Dating By Number
Can algebra help a group of unlucky-in-love men find a date? See how manipulating the values in an algebraic equation can skew the outcome. Maths - Algebra A Twig Math Film. Reinforce and extend the learning required by the curriculum....
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Decimal Places: Photofinish
The story of a 60m sprint which, without decimals, would have resulted in a dead-heat. Maths - Number A Twig Math Film. Reinforce and extend the learning required by the curriculum. Twig’s context films show abstract concepts in action...
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Volume: Counting Stars
How many stars are there in the Universe? Astronomers calculate it the same way they would grains of sand on a beach... using volume. Maths - Measurement A Twig Math Film. Reinforce and extend the learning required by the curriculum....
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Deep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 3)
In this video, we will make use of all the data and try to predict whether the price will go up or down. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning -...
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Deep Learning - Recurrent Neural Networks with TensorFlow - RNN for Image Classification (Code)
In this video, you will learn how to preform RNN for image classification on the MNIST dataset. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Demo of the Long-Distance Problem
In this video, we will understand how LSTMs work for resolving a long-distance problem. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural...
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Modern JavaScript from the Beginning - Second Edition - GeoLocation API
In this video, you will learn about the GeoLocation API. We will see how to retrieve a user's location data and how to use it in our application. This clip is from the chapter "Web Browser APIs" of the series "Modern JavaScript from the...
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Machine Learning: Random Forest with Python from Scratch - Accuracy and Error-2
In this video, you will learn to implement the accuracy method to help determine our model's performance. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from...
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Machine Learning: Random Forest with Python from Scratch - Quick Implementation of Random Forest Model
Let's quickly implement Random Forest using the sklearn Random Forest model to tune the model's performance according to the project. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
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Machine Learning: Random Forest with Python from Scratch - Recap, Flow of Machine Learning Project
This video is a quick recap of what we have learned thus far, and we will also be working on a project called the Flow of Machine Learning. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning:...
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Machine Learning: Random Forest with Python from Scratch - Accuracy and Error-1
This lecture explains accuracy and error in data when the predicted outcome is close to the expected result and when it is not defined as an error. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine...
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Data Science Model Deployments and Cloud Computing on GCP - Lab - Add Model Evaluation Step in Kubeflow before Deployment
In this lab video, you will be adding the model evaluation step in Kubeflow before deployment. This clip is from the chapter "Vertex AI - Machine Learning Framework" of the series "Data Science Model Deployments and Cloud Computing on...
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Data Science Model Deployments and Cloud Computing on GCP - Introduction to ML Model Lifecycle
This video provides an introduction to the ML model lifecycle. This clip is from the chapter "Data Science Models with Google App Engine" of the series "Data Science Model Deployments and Cloud Computing on GCP".This section focuses on...
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Fundamentals of Neural Networks - Lab 3 - Deep CNN
This video demonstrates a deeper CNN, where you will build a much bigger number of trainable parameters. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
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Fundamentals of Neural Networks - Lab 3 - Introduction to Neural Network
This video demonstrates how to use Keras TensorFlow as API to essentially design and craft the neural network architecture. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
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Fundamentals of Neural Networks - Residual Network
Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. This clip is from the chapter "Convolutional Neural...
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Deep Learning - Crash Course 2023 - Regression Problem
In this video, you will learn how to solve a regression problem using the Boston housing dataset. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn...