Curated Video
Deep Learning - Crash Course 2023 - Training Evaluation
In this video, we will evaluate the performance of the trained neural network using various performance metrics and techniques. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash Course...
Curated Video
Deep Learning - Crash Course 2023 - Models
In this video, we will briefly cover models in deep learning. This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash Course 2023".In this section, you will learn some basic terms used in deep learning.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: KNN Implementation
In this lesson, you will learn how to implement the k-nearest neighbor algorithm in machine learning.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: tf-idf Matrix
In this video, you will learn to make the recommendation engine using the tf-idf matrix.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: Offline Evaluation Techniques
In this video, you will learn about the evaluation technique and focus on the offline evaluation technique in this lecture.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: User Rating Matrix
In this video, we will understand what a user rating matrix is and how we can build a user rating matrix.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: ICM
In this lesson, you will learn about the item-context matrix, a list of items and attributes in the recommender system.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: Overview
In this video, you will learn about the taxonomy of recommender systems and use the recommender systems to get appropriate results.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Candidate Tower and Retrieval System
In this lesson, we will look at making the candidate tower and then execute a retrieval system.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Similarity Index
In this lesson, we will explore how to use the similarity index.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: tf-idf Implementation
In this video, we will understand how to calculate and use the tf-idf vectorizers with sklearn.
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Categorical Cross Entropy
In this video, you will learn about categorical cross entropy, which is used in multiclass classification. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with...
Curated Video
Deep Learning - Convolutional Neural Networks with TensorFlow - Embeddings
In this video, we will understand the text as sequence data. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, you will learn...
Curated Video
Deep Learning - Convolutional Neural Networks with TensorFlow - What Is Convolution? (Part 3)
In this video, you will learn how to view convolution as matrix multiplication. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...
Curated Video
Recommender Systems with Machine Learning - Similarity Index
This video talks about the similarity index in detail. 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...
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...
Curated Video
Recommender Systems with Machine Learning - tf-idf (Term Frequency-Inverse Document Frequency) Matrix
This video is about the tf-idf (Term Frequency-Inverse Document Frequency) matrix. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on...
Curated Video
Recommender Systems with Machine Learning - User Rating Matrix
This video talks about URM (User Rating Matrix), which is used to store the data of recommender systems. This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section...
Curated Video
Recommender Systems with Machine Learning - Section Overview
This video provides an overview of the section. This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics of recommender systems.
Curated Video
Recommender Systems with Machine Learning - ICM
This video talks about the ICM (Item Content Matrix) that is used to store the data of recommender systems. This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Candidate Tower and Retrieval System
In this video, you will learn how to create a candidate tower and develop a retrieval system. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied Approach Using Deep...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - What Is Classification?
In this video, we will understand classification. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover machine...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Generating Data
In this video, we will discuss how to generate data. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into the world of...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Solving Linear Systems
In this video, we will work on solving an example problem to understand linear systems. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the...