This video explains types of risks and examples.<br<br/>/>

This clip is from the chapter "Plan Risk Management" of the series "PMI-RMP® Certification Training".This section explains planning risk management.

This video explains linear regression - cost functions and gradient descent.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

COLIN CAMPBELL is a writer and director for theater and film. The short film he wrote and directed with his beautiful and talented wife, Seraglio, was nominated for an Academy Award. Campbell teaches screenwriting at Chapman University...

This video talks about training DNN animation.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of...

This video explains about weights initializations.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN...

This video explains about the implementation of batch gradient descent.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section...

This video explains about the gradient descent Stochastic Batch Minibatch.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This...

In this video, we will cover machine learning model training loss.
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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...

In this video, we will cover DNN optimizations.
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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...

In this video, we will cover DNN training parameters.
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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...

In this video, we will work on visualization and results.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into...

In this video, you will learn how to train our neural network.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper...

In this video, you will learn how to implement logistic regression.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive...

National Archives: In this short film Dr Juliette Desplat, Head of Modern Collections at The National Archives, and Janet Montefiore, Professor Emerita from the University of Kent, tell the sad story of the loss of Rudyard Kipling’s only...

Age-related macular degeneration (AMD) is a leading cause of vision loss in the elderly, causing blurred and darker vision, and even loss of central vision. The disease affects people over 50 and is seen in about 1/3 of people over 75....

This video explains about gradient descent.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the...

This video explains extending to multiple layers.
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This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent...

This video explains backpropagation.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep...

This video explains about training the RL model.
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This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the...

This video explains about the target network and recap.<br<br/>/>

This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.

This is an exercise solution video on the Loss function in DNN.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...

This video explains about DNN optimizations.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN...

This video explains about the implementation of minibatch gradient descent.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This...

This video demonstrates about gradient descent.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN...