Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - DNN Training Parameters
This video explains the DNN training parameters. 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...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Batch MiniBatch Stochastic Gradient Descent
This video explains batch MiniBatch stochastic gradient descent. 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...
Coach Dan Blewett
How to Get Ready for Baseball Season
Learn how to get ready for baseball season - are you doing it right? Wrong? Missing the point?
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Drop Out Early Stopping Hyperparameters
In this video, we will cover drop out early stopping hyperparameters.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Training DNN Animation
In this video, we will cover training DNN animation. 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Pros and Cons
This video talks about the pros and cons of SARSA. This clip is from the chapter "SARSA (State–Action–Reward–State–Action)" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on SARSA...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Limitations of RL
This video explains the limitations of RL. This clip is from the chapter "Motivation and Applications" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the motivation and applications.
Curated Video
Predictive Analytics with TensorFlow 9.3: Developing a Predictive Model for Time Series Data
RNNs, specifically LSTM models, are often a difficult topic to understand. Time series prediction is a useful application for RNNs because of temporal dependencies in the data. Time series data is abundantly available online. In this...
NASA
NASA | First Landing: IceBridge P-3 on the Sea Ice Runway
With the successful landing of the NASA P-3 aircraft on McMurdo Station's seasonal sea ice runway, Operation IceBridge is opening the door to a whole new suite of remote science targets in Antarctica.
Curated Video
Bash Shell Scripting - Shutdown and Reboot
This video explains the shutdown and reboot commands. This clip is from the chapter "Linux Commands - Quick Refresher" of the series "Mastering Bash Shell Scripting: Automate your daily tasks [Updated for 2021]".This section is a quick...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Predicting Test Data
In this video, you will learn how to predict test data. This clip is from the chapter "Project 4 - Wine Quality Prediction" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we will work on a...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Building and Using the Model for Prediction - Project 2 - Spam SMS Detection
In this video, you will learn how to build and use the model for prediction. This clip is from the chapter "Project 2 - Spam SMS Detection" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Signing into AWS Console
In this video, you will learn how to sign into the AWS Console. This clip is from the chapter "Introduction to AWS" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we will get introduced to AWS.
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - White Wine Quality Prediction
In this video, you need to work on a self-practice assignment using the Wine Quality dataset and perform white wine quality prediction. This clip is from the chapter "Assignment" of the series "No-Code Machine Learning Using Amazon AWS...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Defining the Classifier
In this video, you will learn how to define the classifier. This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about clustering.
Curated Video
Practical Data Science using Python - Support Vector Machine Concepts
This video introduces you to Support Vector Machine concepts. This clip is from the chapter "Advanced Classification Techniques – Support Vector Machine" of the series "Practical Data Science Using Python".This section explains advanced...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - YOLO Training Data Generation
This video explains about the YOLO training data generation. This clip is from the chapter "YOLO" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on YOLO (You Only Live Once).
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Training DNN Animation
This video talks about training DNN animation. 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...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Calculating Number of Weights of DNN
This video explains calculating number of weights of DNN. 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...
Curated Video
Python for Deep Learning - Build Neural Networks in Python - Training and Test Sets: Splitting Data
In this video, we will be working on splitting the data with training and test sets. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...
Curated Video
Python In Practice - 15 Projects to Master Python - How to Make Training and Testing Sets Easily
This video explains how to make training and testing sets easily. This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on machine learning...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Stochastic Batch Minibatch
This video explains about the gradient descent Stochastic Batch Minibatch. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Optimization
In this video, we will cover optimization. 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 section, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Machine Learning Model 2
In this video, we will cover machine learning model 2. 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 section, we...