Instructional Video7:34
Curated Video

Chatbots Development with Amazon Lex - Services of AWS

Higher Ed
This video outlines the various services provided by AWS, including more than 200 services, AWS Compute, AWS Storage, AWS Database, AWS Migration, API Gateway, cloud management services, WAF and shield, elastic transcoder, and more.
Instructional Video3:40
Curated Video

Chatbots Development with Amazon Lex - Course Description

Higher Ed
This video discusses the concepts to be covered in this course, including Amazon Web Services, Amazon Lex bot, Amazon Twilio, website integration, response cards, and more.
Instructional Video2:08
Curated Video

Microsoft Project 2021 From Beginners to Advanced - Exercise 07-2

Higher Ed
This video is related to report creation and customization in real-world project scenarios. This exercise reinforces the ability to generate tailored reports by comparing two reports, working on landscape and portrait versions, and...
Instructional Video2:45
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: User-Based Collaborative Filtering

Higher Ed
In this lesson, we will discuss user-based collaborative filtering in machine learning for a recommender system.
Instructional Video13:04
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Item-Based Filtering Data Preparation

Higher Ed
In this video, you will learn to implement Python to develop item-based collaborative filtering using Pandas, NumPy, and Matplotlib.
Instructional Video4:57
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Item-Based Collaborative Filtering

Higher Ed
In this video, you will learn to use machine learning to develop item-based collaborative filtering.
Instructional Video8:49
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Making Recommendations

Higher Ed
In this video, we will understand how to make a recommendation after creating the recommendation engine.
Instructional Video9:25
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Recommendation Engine

Higher Ed
In this lesson, we will begin making the recommendation engine and train the model to make recommendations.
Instructional Video11:09
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: tf-idf Matrix

Higher Ed
In this video, you will learn to make the recommendation engine using the tf-idf matrix.
Instructional Video12:31
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Exploring Genres in Content-Based Filtering

Higher Ed
After learning to explore genres, we will look at term frequency and inverse document frequency.
Instructional Video7:59
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Data Preparation for Content-Based Filtering

Higher Ed
In this lesson, you will learn to develop content-based filtering for a recommender system using Python.
Instructional Video5:10
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Design Approaches for ML

Higher Ed
In this lecture, we will explore the design approaches for recommender systems using machine learning.
Instructional Video11:20
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: Quality of Recommender System

Higher Ed
In this lesson, we will look at the quality of recommender systems through inferred preferences and ways to collect user opinions.
Instructional Video2:52
Curated Video

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

Higher Ed
This video presents a brief overview of recommender systems, how they work, the processes and goals of a recommender system, and the pros and cons.
Instructional Video4:38
Instructional Video6:46
Curated Video

A Detailed Guide to the OWASP Top 10 - API9:2023 Improper Inventory Management

Higher Ed
In this session, we will address the challenges of Improper Inventory Management in API ecosystems and propose solutions for better management.
Instructional Video6:33
Curated Video

A Detailed Guide to the OWASP Top 10 - API2:2023 Broken Authentication

Higher Ed
In this video, examine the critical security risk of Broken Authentication within APIs and discuss methods for securing authentication mechanisms.
Instructional Video4:56
Curated Video

A Detailed Guide to the OWASP Top 10 - #6 Vulnerable and Outdated Components

Higher Ed
This video explains the A06: 2021 - vulnerable and outdated components.
Instructional Video5:25
Curated Video

A Detailed Guide to the OWASP Top 10 - #5 Security Misconfiguration

Higher Ed
This video explains the A05 - security misconfiguration using an attack scenario.
Instructional Video4:14
Curated Video

A Detailed Guide to the OWASP Top 10 - #2 Cryptographic Failures

Higher Ed
This video explains A02: 2021 - cryptographic failures, which focuses on failures related to cryptography.
Instructional Video1:49
Curated Video

The Absolute Beginners Guide to Cybersecurity 2023 - Part 4 - Introduction

Higher Ed
This is an introduction to the section in which the author talks about mobile cybersecurity. This clip is from the chapter "Mobile Security" of the series "The Absolute Beginners Guide to Cybersecurity 2023 - Part 4".In this section, you...
Instructional Video12:27
Instructional Video3:53
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Deep Learning Foundation for Recommender Systems: Strengths and Weaknesses of DL Models

Higher Ed
This video discusses in detail the strengths and weaknesses of deep learning models, including non-linear transformations and non-trivial relationships.
Instructional Video3:13
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Deep Learning Foundation for Recommender Systems: VAE Collaborative Filtering

Higher Ed
Let's understand the variational autoencoder for collaborative filtering using a representation obtained in the hidden layers.