This is an activity video on object detection.
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This clip is from the chapter "Object Detection" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the methods of object...

In this video, you will learn how to predict the test set results.
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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 section,...

This video explains the implementation of Moving Avg.<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 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...

This video demonstrates some basic operations in TensorFlow such as objects and we will apply some mathematical operations to the Tensor objects.
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This clip is from the chapter "Artificial Neural Networks" of the series...

BCG's Boston Matrix is a simple tool used in Business and Marketing strategy development. It's used to analyse a business's portfolio of products / brands and understand which brands to focus on for best returns.

This video focuses on matrix in Power BI.
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This clip is from the chapter "Tables and Matrix in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section provides an introduction to...

This video explains how to perform conditional formatting in a matrix.
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This clip is from the chapter "Tables and Matrix in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section...

In this video, we will cover object detection activity.
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This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...

In this video, we will cover slicing-part 2.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...

In this video, we will cover arrange, random, and reshape-part 2.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover Kernel PCA versus ISOMAP.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory...

In this video, we will cover feature scaling.
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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...

In this video, we will cover categorical features of Python.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...

In this video, we will cover linear regression from scratch- part 2.
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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...

In this video, we will cover Singular Value Decomposition (SVD).
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...

In this video, we will cover machine learning model linearity.
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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...

This video presents practice exercise on printing the smallest number in a 3*3 matrix.
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This clip is from the chapter "Java Object Oriented Programming System (OOPS) Basic for Selenium Part - 1" of the series "Selenium...

This video helps in NonVectorized implementations of Conv2d and Pool2d.
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This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This...

This is an exercise video on MaxPooling.
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This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep neural...

This video explains how the image is formed and processed.<br<br/>/>

This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.

This is a solution video on gradients of the MaxPooling layer.
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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...

This video explains gradients of the MaxPooling layer.
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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...

This video explains filters in Lightning reports and dashboards.
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This clip is from the chapter "Lightning Reports and Dashboards" of the series "Salesforce Platform App Builder Certification Training".This section explains...