Curated Video
Deep Learning - Convolutional Neural Networks with TensorFlow - CNN for CIFAR-10
In this video, we will work on image classification with the CIFAR-10 dataset. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...
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Recommender Systems: An Applied Approach using Deep Learning - Inference after Training
In this lecture, you will learn how to deploy the model as a service to infer the likelihood of new interactions. This clip is from the chapter "Deep Learning Foundation for Recommender Systems" of the series "Recommender Systems: An...
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Recommender Systems: An Applied Approach using Deep Learning - Deep Learning in Recommender Systems
In this video, we will explore deep learning concepts in recommender systems, migrating from machine learning to deep learning, and capturing non-linear to non-trivial relationships. This clip is from the chapter "Deep Learning...
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Recommender Systems with Machine Learning - Data Partitioning
This video explains data partitioning. 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.
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Fundamentals of Chatbots for Deep Learning: Generative Versus Retrieval Chatbots
In this lecture, you will learn about a generative and retrieval chatbot and compare the differences between the two chatbots. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of the series "Chatbots for...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbots with Amazon Lex
In this lecture, we will look at an outline of Amazon Web Services, including the features of Amazon Lex, chatbot development with Lex, connecting Amazon Lex with Lambda, integrating Twilio with Lex, response cards, and so on. This clip...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbots
Here, you will learn more about the concepts we will cover in the deep-learning-based chatbot. We will compare multiple chatbots. We will explore the framework for DL chatbots and develop a chatbot based on deep learning. This clip is...
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CISSP Crash Course - Recovery and Response Strategies
This video explains recovery and response strategies with respect to disasters. This clip is from the chapter "Security Operations" of the series "CISSP Crash Course".This section covers domain 7, which focuses on security operations.
Curated Video
CISSP Crash Course - Security Training
This video explains security awareness, training, and education. 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 management.
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CISSP Crash Course - Collect Security Process Data
This video explains collecting security process data and account management and review. This clip is from the chapter "Security Assessment and Testing" of the series "CISSP Crash Course".This section covers domain 6, which focuses on...
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CISSP Crash Course - Personnel Security Policies and Procedures
This video explains personnel security policies and procedures. 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 management.
Curated Video
Master SQL for Data Analysis - Let's Recap
In this final video, the author succinctly recapitulates the course content with explanations of key terminologies and topics covered thus far. This clip is from the chapter "Course Summary – Level 2" of the series "Master SQL for Data...
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Master SQL for Data Analysis - Loading the Books Datasets
This video discusses the PostgreSQL database management system and loading the required datasets for training purposes. This clip is from the chapter "Getting Started with Level 2" of the series "Master SQL for Data Analysis".This video...
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Master SQL for Data Analysis - Let's Recap!
The author briefly recapitulates the topics learned in this level during this training program, level 1. This clip is from the chapter "Course Summary – Level 1" of the series "Master SQL for Data Analysis".This section focuses on the...
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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 - Overview-2
This video provides a brief overview of the contents explored in this section about retrieving data with queries (SQL). This clip is from the chapter "SQL - Retrieving Data with Queries" of the series "Master SQL for Data Analysis".This...
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Master SQL for Data Analysis - Indexes
Let's learn more about indexes, which will help optimize queries. You will learn how to create an index and structure data using indexes. This clip is from the chapter "Databases - Terminology" of the series "Master SQL for Data...
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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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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 - Compute Loss
Here, we will look at the next step of training our model: the compute loss function. 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 - Random Train-Test Split
In this lesson, you will learn to perform the test train split, which will do the training split and then create a prediction; we will use a random dataset (80-20 ratio). This clip is from the chapter "Project Amazon Product...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Module Overview
This is an introductory video on the concepts to be learned in this module, including chatbot creation steps, AWS Lambda, Twilio, and project creation. This clip is from the chapter "Chatbots Development with Amazon Lex" of the series...