Instructional Video4:38
Instructional Video2:54
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Motivation for Recommender System: Generations of Recommender Systems

Higher Ed
In this lesson, we will look at the first, second, and third generations of recommender systems.
Instructional Video5:10
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Motivation for Recommender System: Recommender Systems Process and Goals

Higher Ed
In this video, we will understand the need for recommender systems and the processes and goals involved.
Instructional Video3:13
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Motivation for Recommender System: Introduction to Recommender Systems

Higher Ed
This video illustrates the recommender system's popularity based on demand. We will also look at the reasons for the recommender system boost.
Instructional Video1:36
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Deep Learning Recommender Systems

Higher Ed
In this video, we will understand deep learning-based recommender systems with the aid of Python.
Instructional Video1:36
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning Recommender Systems

Higher Ed
This video outlines the machine learning-based recommender system with the help of Python.
Instructional Video1:51
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Course Outline

Higher Ed
This general introduction to the course outlines what you will learn regarding recommender systems and their components.
Instructional Video1:10
Curated Video

Recommender Systems Complete Course Beginner to Advanced - AI Sciences

Higher Ed
This video briefly introduces the authors of the course, AI Sciences, and what kinds of courses it delivers worldwide.
Instructional Video2:09
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Module and Instructor Introduction

Higher Ed
This video introduces the author/instructor and the module's contents in general.
Instructional Video5:28
Curated Video

AWS Certified Solutions Architect Associate (SAA-C03) - Kinesis Data Streams and Firehose

Higher Ed
In this video, you will explore Kinesis Data Streams and Kinesis Firehose to understand what they offer and how they differ. As an AWS architect, it is important to know the options so you can select the best one for your needs.
Instructional Video16:13
Curated Video

AWS Certified Solutions Architect Associate (SAA-C03) - Services, Part 3

Higher Ed
This video continues the AWS offerings tour and looks at the most recent additions to the AWS system.
Instructional Video7:32
Curated Video

AWS Certified Solutions Architect Associate (SAA-C03) - Services, Part 2

Higher Ed
This video continues the Amazon Web Services (AWS) offerings tour, finishing up where we left off in the previous video. By the end of this video, you will have a birds-eye view of the AWS services.
Instructional Video4:40
Curated Video

AWS Certified Solutions Architect Associate (SAA-C03) - AWS Certifications

Higher Ed
What are the different types of AWS certifications offered, and which is best for you?
Instructional Video11:02
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Train and Validation

Higher Ed
After entirely developing our recommender system, we will perform the training and validation, fitting and evaluating our model.
Instructional Video9:57
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Making Recommendations

Higher Ed
This is the final part of the project, where we create functions for the content-based recommender.
Instructional Video12:27
Instructional Video7:15
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Making Recommendations

Higher Ed
We will now perform some recommendations using the brute-force algorithms and then perform the indexing of our data.
Instructional Video8:04
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Accuracy Versus Recommendations

Higher Ed
We will now perform data visualization; we will check the accuracy of our recommender model with the recommendations.
Instructional Video3:07
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Compute Loss

Higher Ed
This is the next step of training our model, which entails the compute loss model.
Instructional Video5:59
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Candidate Tower and Retrieval System

Higher Ed
In this lesson, we will look at making the candidate tower and then execute a retrieval system.
Instructional Video8:18
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Making the Model and Query Tower

Higher Ed
After testing and training the recommendations, we will develop the model by loading the Tensor board extension.
Instructional Video5:09
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Random Train-Test Split

Higher Ed
After mapping the rating to the dataset, we will train-test split the dataset to our recommender system with shuffling and prediction.
Instructional Video6:09
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Rating Our Data

Higher Ed
Let us now move to the next part of the project, including the rating of our data with a new mapping dictionary.
Instructional Video6:12
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Make Tensors from DataFrame

Higher Ed
We will now advance further by checking our dataset using a single user and developing the Tensor from DataFrame.