Curated Video
CISSP Crash Course - Policy, Standards, Procedures, and Guidelines
This video explains policy, standards, procedures, and guidelines. This clip is from the chapter "Security and Risk Management" of the series "CISSP Crash Course".This section explains domain 1, which focuses on security and risk...
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Master SQL for Data Analysis - Outer-Join
In this lesson, we will look at a situation where there are tables with unmatched rows from one table to another. This clip is from the chapter "SQL - Combining Data from Multiple Tables" of the series "Master SQL for Data Analysis".This...
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Master SQL for Data Analysis - Loading the eCommerce Datasets
In this video, we will look at the different store datasets of eCommerce that we will use in the eCommerce training project. This clip is from the chapter "Getting Started with Level 2" of the series "Master SQL for Data Analysis".This...
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Master SQL for Data Analysis - Query Data (SELECT)
Let's learn to query data using the SELECT option that determines the columns to include in the result set. This clip is from the chapter "SQL - Retrieving Data with Queries" of the series "Master SQL for Data Analysis".This section...
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Master SQL for Data Analysis - Creating - Database and Schema
This lesson will teach us how to create a database and schema using the PostgreSQL software. This clip is from the chapter "SQL - Creating Databases, Schemas, and Tables" of the series "Master SQL for Data Analysis".This section delves...
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Master SQL for Data Analysis - Our Learning Objectives-2
In this video, the author discusses the more complex SQL learning objectives of the level 2 segment and what advanced SQL concepts we will be covering. This clip is from the chapter "Getting Started with Level 2" of the series "Master...
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Master SQL for Data Analysis - Welcome to Level 2!
This is a brief introductory video to the level-2 segment and briefly outlines the concepts we will learn in this part of the course. Here, we will understand the learning objectives, and acquire the datasets required for the level 2...
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Master SQL for Data Analysis - Introduction-2
In this video, the author briefly outlines data analysis and then explains, in brief, the advanced concepts to be covered in the second half (level 2) of this course. This clip is from the chapter "Introduction to Level 2" of the series...
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Master SQL for Data Analysis - Our Learning Objectives-1
This video looks at the learning objectives from this course and the general training roadmap. This clip is from the chapter "Getting Started!" of the series "Master SQL for Data Analysis".This section focuses on a general introduction...
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Master SQL for Data Analysis - Welcome to Level 1!
In this video, the author emphasizes the need to learn SQL and what you will learn from the first half (level 1) of this course. This clip is from the chapter "Getting Started!" of the series "Master SQL for Data Analysis".This section...
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Master SQL for Data Analysis - Introduction-1
This clip is from the chapter "Course Introduction" of the series "Master SQL for Data Analysis".This section introduces the course content in general and outlines the need for learning sequential query language.
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Making Recommendations
In this lesson, you will learn to create a recommendation and use a brute-force algorithm to generate the recommendation. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An...
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Recommender Systems: An Applied Approach using Deep Learning - Accuracy Versus Recommendations
In this video, we will perform data visualization with the project we created and check the model’s accuracy. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied...
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Recommender Systems: An Applied Approach using Deep Learning - Train and Validation
After entirely developing our model, you will learn to fit and evaluate the model for functionality. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied Approach...
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Recommender Systems: An Applied Approach using Deep Learning - Making the Model and Query Tower
In this lecture, you will learn to develop our model and create a query tower to perform retrieval tasks. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied...
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Recommender Systems: An Applied Approach using Deep Learning - Rating Our Data
In this video, you will learn about the next part of the project, which is rating our data. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied Approach Using Deep...
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Recommender Systems: An Applied Approach using Deep Learning - Make Tensors from DataFrame
In this video, we will continue to check our dataset using a single username. We will use a part of the DataFrame to do so. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems:...
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Recommender Systems: An Applied Approach using Deep Learning - Data Visualization with WordCloud
In this video, you will learn how to load a dataset for the project being developed, using WordCloud, importing WordCloud, STOPWORDS, and ImageColorGenerator. This clip is from the chapter "Project Amazon Product Recommendation System"...
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Recommender Systems: An Applied Approach using Deep Learning - Download Libraries
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. This clip is from the...
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Recommender Systems: An Applied Approach using Deep Learning - Inference Mechanism
In this lesson, we will understand the generic recommendation systems interference mechanism. This clip is from the chapter "Deep Learning Foundation for Recommender Systems" of the series "Recommender Systems: An Applied Approach Using...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Vectorize Stories
In this video, we will understand how to vectorize the story by defining functions, using the data, and developing an index and tokenizer. We will also determine the maximum story length calculated. This clip is from the chapter...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Chatbot on Website
This video demonstrates how to use the chatbot we created on a website. We will look at the available code to implement the chatbot and showcase it on the website. We will use the app, Kommunicate.io. This clip is from the chapter...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Responses with Boto
After creating a query with Boto and obtaining responses from the chatbot, we will look at the responses received with Boto. This clip is from the chapter "Chatbots Development with Amazon Lex" of the series "Chatbots for Beginners: A...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Integration with Boto
In this lesson, we will discuss deploying our chatbot using code. We will not use a built-in application such as Twilio; instead, we will use a Python library—Boto. This clip is from the chapter "Chatbots Development with Amazon Lex" of...