Institute for New Economic Thinking
Childhood and the Development of a Social Conscience
Childhood and the Development of a Social Conscience
Curated Video
Data Analytics using Python Visualizations - Area and Stacked-Area Charts
This video explains area and stacked-area charts. This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section explains advanced...
Curated Video
Data Analytics using Python Visualizations - Plotting 2D Histograms
This video explains plotting 2D histograms. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you to Matplotlib and...
Curated Video
Practical Data Science using Python - Principal Component Analysis - Concepts
This video introduces you to Principal Component Analysis – concepts. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction...
Curated Video
Practical Data Science using Python - NumPy Arrays 1
This video explains the NumPy library. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - LeNet
This video explains the LeNet. This clip is from the chapter "Classical CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on classical CNNs.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Screen Transformation
This video explains about screen transformation. 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.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Moving Avg Implemented
This video explains the implementation of Moving Avg. 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.
Packt
Fundamentals of Neural Networks - Tensor and Matrix
This video explains what we mean by Tensor and Matrix. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you will start...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Introduction
In this video, we will cover PCA introduction. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Brian McLogan
Learning to find the surface area of a rectangular prism
👉 Learn how to find the volume and the surface area of a prism. A prism is a 3-dimensional object having congruent polygons as its bases and the bases are joined by a set of parallelograms. A prism derives its name from the shape of its...
Curated Video
Bootstrap 5 Course Build Responsive Websites Like a Pro - Bootstrap Breakpoints
This video talks about Bootstrap Breakpoints. This clip is from the chapter "Bootstrap 5 Layout" of the series "Bootstrap 5 Course: Build Responsive Websites Like a Pro".This section focuses on the Bootstrap 5 layout.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 5
This is fifth of the five-part video on implementation in NumPy BackwardPass. 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...
Curated Video
Python for Deep Learning - Build Neural Networks in Python - Pooling Layer
In this video, you will learn about Pooling layer. This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Q-Values Calculator Implemented
This video explains about the implementation of the Q-values calculator. 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.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN PyTorch CIFAR10 Example
This video talks about the example of DNN PyTorch CIFAR10. 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation in PyTorch
This video explains about the implementation in PyTorch. 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...
Packt
Fundamentals of Neural Networks - Stride
For a convolutional or pooling operation, the stride denotes the number of pixels by which the window moves after each operation. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural...
Packt
Fundamentals of Neural Networks - Padding
This video explains padding in convolutional neural networks. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you...
Packt
Fundamentals of Neural Networks - Lab 5 - Building Deeper and Wider Model
This video demonstrates how to build a deeper and wider neural network model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural networks...
Packt
Fundamentals of Neural Networks - Lab 1 - Introduction to Convolutional 1-Dimensional
This video demonstrates convolutional operations in 1-dimension. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you...
Packt
Fundamentals of Neural Networks - Convolution in 2D and 3D
This video explains Convolution in 2D and 3D. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you will start with...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Max Variance Formulation
In this video, we will cover PCA Max Variance Formulation. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Implementation
In this video, we will cover PCA implementation. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...