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Electron
The tiny particles within all atoms that carry a negative electric charge. A Twig Science Glossary Film. Key scientific terms defined in just 60 seconds using stunning images and concise textual definitions. Twig Science Glossary Films...
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Climate Models
Predicting the future of Earth's climate is a daunting task. How are complex climate models calculated, taking chaos theory into account? Earth Science - Human Impacts - Learning Points. Climate models use data to calculate the...
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The Search for Elusive Gravitational Waves
Early in the 20th century Albert Einstein turned physics on its head with his theory of relativity. It explained anomalies observed by astronomers and it made predictions about things that could not be tested. One of these predictions...
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Changing Polar Ice: Observations and Concerns
This video provides an overview of the North Pole and the surrounding Arctic region, highlighting the characteristics of the ice pack and the impact of climate change. It discusses the thickness and movement of the ice and the increasing...
Science Buddies
Simple Explanation of Neural Networks
Tracy from Science Buddies guides you through the basics of neuron networks used in machine learning. Discover how neurons and layers work together to process information and make predictions, from image recognition to language...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Other Ways to Forecast
In this video, we will discuss some other ways that might generate multi-step forecast. 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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Deep Learning - Recurrent Neural Networks with TensorFlow - Autoregressive Linear Model for Time Series Prediction
In this video, we will dive into coding and learn about the autoregressive linear model for time series prediction. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Forecasting
In this video, we will discuss about forecasting. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".In this section,...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Concluding remarks
In this video, we will look at the concluding remarks of the course and recap what we learned through the course, briefly. This clip is from the chapter "Conclusion" of the series "Machine Learning: Random Forest with Python from...
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Machine Learning: Random Forest with Python from Scratch - How to Classify
Let's learn to write a classification method that will train our module and help us get predictions. 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 - Leaf and Decision Node
In this lesson, you will learn to create two classes, a leaf node and a decision node, with a constructor. 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 - Pros and Cons of Random Forest
In this video, we will look at the benefits and limitations of Random Forest and the complexities involved in decision-making using Random Forest. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine...
Curated Video
Data Science Model Deployments and Cloud Computing on GCP - Lab - Model Endpoint Deployment
In this lab video, you will learn how to deploy a custom-trained machine learning model to a production environment using Vertex AI. This clip is from the chapter "Vertex AI - Machine Learning Framework" of the series "Data Science Model...
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Data Science Model Deployments and Cloud Computing on GCP - Overview – Vertex AI UI
This video provides an overview of the UI of Vertex AI. This clip is from the chapter "Vertex AI - Machine Learning Framework" of the series "Data Science Model Deployments and Cloud Computing on GCP".In this section, we will explore...
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Fundamentals of Neural Networks - Lab 1 - RNN in Text Classification
This video demonstrates how to design a recurrent neural network or RNN. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...
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Deep Learning - Crash Course 2023 - Summary-1
In this video, we will quickly summarize what we have learnt about MP Neuron. This clip is from the chapter "Summary of MP Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will consolidate our understanding...
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Deep Learning - Crash Course 2023 - Loss and Finding Parameters
In this video, you will learn about loss and finding parameters. This clip is from the chapter "MP Neuron Model" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to build neural networks using the MP...
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Advanced Chatbots with Deep Learning and Python - Model Completion
In this video, after training and testing the data, querying the questions, and obtaining responses, we are now at model completion with compiling the questions and responses to check for accuracy.
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Deep Learning - Artificial Neural Networks with Tensorflow - Mean Squared Error
In this video, we will understand MSE (Mean Squared Error) from a probabilistic perspective. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
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Deep Learning - Artificial Neural Networks with Tensorflow - Making Predictions
In this video, we will be talking about another important part of creating a model, which is making predictions. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet Section Summary
In this video, we will summarize what we have learnt in this section. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - (The Dangers of) Prophet for Stock Price Prediction
In this video, we will work with Prophet for stock price prediction. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will explore...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet: Multiplicative Seasonality, Outliers, Non-Daily Data
In this video, we will work on multiplicative seasonality, outliers, and non-daily data with Prophet. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Changepoint Detection
In this video, you will learn how to detect changepoint with Prophet. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will...