Instructional Video13:01
Curated Video

Recommender Systems with Machine Learning - Item-Based Filtering Data Preparation

Higher Ed
This video explains and demonstrates item-based filtering data preparation.
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...
Instructional Video4:53
Curated Video

Recommender Systems with Machine Learning - Item-Based Collaborative Filtering

Higher Ed
This video demonstrates item-based collaborative filtering.
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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...
Instructional Video7:56
Curated Video

Recommender Systems with Machine Learning - Data Preparation for Content-Based Filtering

Higher Ed
This video explains data preparation for content-based filtering with machine learning.
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This...
Instructional Video3:02
Curated Video

Recommender Systems with Machine Learning - Content-Based Filtering-2

Higher Ed
This video helps you with content-based filtering.
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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...
Instructional Video4:23
Curated Video

Linux Operating System: A Complete Linux Guide for Beginners - Writing and Running Code Using Terminal (C Language)

Higher Ed
In this video, you will learn how to write and running a C program using the Linux terminal.
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This clip is from the chapter "Advanced Features" of the series "Linux Operating System: A Complete Linux Guide for Beginners".In...
Instructional Video5:23
Curated Video

Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Importing Libraries

Higher Ed
This video demonstrates how to import step by step the four main libraries required for our project, including TensorFlow NumPy, Keras, and Pickle, and you will learn about importing Sequential and Model.
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This clip is from...
Instructional Video3:53
Curated Video

Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Project Overview and Packages

Higher Ed
After theoretically learning about chatbots, we will now develop a chatbot practically by importing the requisite libraries, TensorFlow NumPy, Keras, and Pickle. We will build a chatbot based on a story and make predictions of true or...
Instructional Video4:30
Curated Video

Chatbots for Beginners: A Complete Guide to Build Chatbots - Project: Conversational Chatbot Development with Machine Learning: Project Overview and Packages

Higher Ed
In this lesson, we will go over the project conception in detail and install and import all the required libraries for the project, input the data, and perform other tasks to project completion.
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This clip is from the chapter...
Instructional Video4:08
Curated Video

Recommender Systems: An Applied Approach using Deep Learning - Download Libraries

Higher Ed
In this video, you will learn to implement the Amazon recommender system using the TensorFlow recommender based on specific user behavior. You will learn to download and import particular libraries for the project.
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This clip...
Instructional Video6:56
Curated Video

Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Starting Lambda Code

Higher Ed
In this video, we will prepare to write the code for the chatbot; we will import a few required libraries, including JSON, datetime, and time.
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This clip is from the chapter "Chatbots Development with Amazon Lex" of the series...
Instructional Video8:03
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Introduction and Outline

Higher Ed
In this video, we will get introduced to the course and understand the learning objective.
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This clip is from the chapter "Welcome and Logistics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...
Instructional Video3:33
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Course Resources

Higher Ed
In this video, we will guide to the course resources.
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This clip is from the chapter "Welcome and Logistics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".Welcome to the course! In this...
Instructional Video13:11
Curated Video

JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects - Swipe Library - I / 308

Higher Ed
This video explains the swipe library, which was designed by other developers.
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This clip is from the chapter "Project: notNotion" of the series "JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects".This section...
Instructional Video9:39
Curated Video

JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects - Installing Node.js

Higher Ed
This video explains the installation of Node.js.
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This clip is from the chapter "Babel" of the series "JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects".This section explains Babel, which is a JavaScript...
Instructional Video2:06
Curated Video

Design Microservices Architecture with Patterns and Principles - Evaluate Layered Monolithic Architecture

Higher Ed
In this video, we will evaluate the layered monolithic architecture used in the e-commerce application. We will assess its strengths and weaknesses, considering maintainability, scalability, and flexibility. We will discuss potential...
Instructional Video4:18
Curated Video

Design Microservices Architecture with Patterns and Principles - Evaluate: Clean Architecture with Scalability - Load Balancer - E-Commerce App

Higher Ed
In this video, we will evaluate the effectiveness of a clean architecture approach in achieving scalability and integrating load balancing into an e-commerce application. We will assess the impact of these architectural changes on...
Instructional Video4:32
Curated Video

Citizens’ Rights and Responsibilities

3rd - 8th
Dr. Forrester talks about the rights and responsibilities of being a citizen in a community.
Instructional Video4:42
Curated Video

Important Community Services

3rd - 8th
Dr. Forrester explains that libraries and a wide variety of teachers are valuable assets to our communities.
Instructional Video3:38
Curated Video

AWS, JavaScript, React - Deploy Web Apps on the Cloud - Key Terms: Stacks, Frameworks, and Languages (Part 2)

Higher Ed
This is a continuation of the lesson from the previous lecture, which explains frameworks in detail.
Instructional Video5:06
Curated Video

Make Apps with ChatGPT and Generative AI - Basic Azure Function Creation

Higher Ed
In this video, we will create an Azure function. We will create a new project folder and create our first Azure function. We will create the function on our local workspace and then push the function over to Azure.
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This clip...
Instructional Video15:07
Curated Video

How to Expand on Ideas for IELTS Writing Task 2 - IELTS Energy Podcast 1331

9th - Higher Ed
How do you think of specific, high-scoring ideas while you write an IELTS Task 2 essay? Find out today, and get an example from a recent Task 2 question.<br/>
Instructional Video5:27
Curated Video

Andrew Carnegie: A Shining Example

3rd - 8th
Dr. Forrester discusses the importance of immigrants to the American society. She cites examples of important immigrants and discusses the contributions of Andrew Carnegie in depth.
Instructional Video5:16
Curated Video

A Practical Approach to Timeseries Forecasting Using Python - Dataset Overview - Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis

Higher Ed
This video helps you with an overview of the dataset.
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This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to Timeseries Forecasting...
Instructional Video8:06
Curated Video

A Practical Approach to Timeseries Forecasting Using Python - Dataset Preparation and Scaling

Higher Ed
This video helps you with dataset preparation and scaling from scratch.
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This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...