Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - Mathematical Operations on Tensors
In this video, let's see how we can perform mathematical operations on Tensors. This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will dive...
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Widget Deep Link Through OpenURL
This video explains the widget deep link through OpenURL. This clip is from the chapter "Deep Links in Widgets" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains deep links in widgets.
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Exchange Rate Entry View
This video explains the exchange rate entry view. This clip is from the chapter "Deep Links in Widgets" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains deep links in widgets.
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Deep Learning - Convolutional Neural Networks with TensorFlow - Transfer Learning Code (Part 2)
In this video, we will dive into action and look at codes for transfer learning without data augmentation. This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural Networks...
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Social Media Automation using Python - Project Part 2
In the project part 2 video, we will call the API object and create a data frame with columns to receive the relevant information about the video titles. This clip is from the chapter "YouTube Automation" of the series "Social Media...
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Recommender Systems with Machine Learning - KNN Implementation-2
This video explains the implementation of KNN. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
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Recommender Systems with Machine Learning - Create Collaborative Filter
This video demonstrates creating a collaborative filter. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
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Recommender Systems with Machine Learning - Active Users and Popular Movies
This video explains the active users and popular movies available. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
Curated Video
Recommender Systems with Machine Learning - Logarithm of Count
This video helps you explain the logarithm of count. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
Curated Video
Recommender Systems with Machine Learning - Count
This video explains the count function. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
Curated Video
Recommender Systems with Machine Learning - Dataset Discussion
This video involves a deep understanding of the dataset to be explored for this module. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine...
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Recommender Systems with Machine Learning - Making Recommendations-1
This video explains how to make song recommendations. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This section focuses on...
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Recommender Systems with Machine Learning - Find the st Title
This video explains how to find the closest title from the dataset as per the input. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine...
Curated Video
Recommender Systems with Machine Learning - tf-idf (Term Frequency-Inverse Document Frequency) Implementation
This video demonstrates the implementation of tf-idf (Term Frequency-Inverse Document Frequency). This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with...
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Recommender Systems with Machine Learning - Occurrence Count
This video demonstrates the occurrence count of the specific condition. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...
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Recommender Systems with Machine Learning - Exploring Genres
This video helps you with exploring genres from the dataset. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This section...
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Recommender Systems with Machine Learning - Missing Values
This video explains how to churn out the missing values from the dataset. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...
Curated Video
Recommender Systems with Machine Learning - KNN Implementation-1
This video explains how to implement KNN. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine learning for the...
Curated Video
Recommender Systems with Machine Learning - Geographic Filtering
This video helps you with geographic filtering. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine learning for the...
Curated Video
Recommender Systems with Machine Learning - Collaborative Filtering Using KNN
This video helps you with collaborative filtering using KNN. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine...
Curated Video
Recommender Systems with Machine Learning - Age Distribution for Users
This video helps you find the age distribution for users from the dataset. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use...
Curated Video
Recommender Systems with Machine Learning - Item-Based Filtering Data Preparation
This video explains and demonstrates item-based filtering data preparation. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use...
Curated Video
Recommender Systems with Machine Learning - Making Recommendations
This video helps you with making recommendations. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine learning for...
Curated Video
Recommender Systems with Machine Learning - Recommendation Engine
This video talks about the recommendation engine in detail. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine...