Curated Video
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...
Curated Video
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...
Curated Video
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 - Candidate Tower and Retrieval System
In this video, you will learn how to create a candidate tower and develop a retrieval system. 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 - 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...
Curated Video
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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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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HashiCorp Certified - Vault Associate Course - Audit Devices
In this video, we will explore the concept of audit devices in HashiCorp Vault, which are responsible for recording and storing audit logs of Vault operations. This video will help you better understand what audit devices are and how to...
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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: Testing our Chatbot
After completing all the necessary steps in building the chatbot, we will now deploy the chatbot and back to the Lex console. We will then test the chatbot for the intended tasks it is to perform. This clip is from the chapter "Chatbots...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Interconnection
This video demonstrates the process of connecting Amazon Lambda to our chatbot. We will create the functions required for our chatbot and author it from scratch. This clip is from the chapter "Chatbots Development with Amazon Lex" of the...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Lambda Introduction
After building and testing the chatbot and creating the visual structure, you will learn to create the backend on Amazon Lambda and connect it with our chatbot for seamless working. This clip is from the chapter "Chatbots Development...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Build and Test
After creating the intents, we will want to create a few messages as responses to be displayed by the chatbot. You will learn to add acceptance and decline responses to the chatbot. This clip is from the chapter "Chatbots Development...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Predictions
After checking our model for accuracy, we will make predictions of our results from the model we created. We will visualize the predictions using the test data. This clip is from the chapter "Advanced Chatbots with Deep Learning and...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Model Completion
In this video, after training and testing the data, querying the questions, and obtaining responses, we are now at model completion with compiling the questions and responses to check for accuracy. This clip is from the chapter "Advanced...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Answer and Response
After learning to create our encoders for the input sequences and the questions, the encoders will match the data and obtain the responses. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of the series...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Encoding
We will begin to develop our deep learning model and input placeholders to store the maximum story length and question length and define the vocabulary size. We will now build our encoder using the sequential model. This clip is from the...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Vectorizing Train and Test Data
After creating the vectorization function, we will input the stories, queries, and answers using the vectorize function that we created using the train data. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python"...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Separation and Sequence
In this video, you will learn to make the train-test story questions and answers. We will then use a for loop to enter the story, question, and answer into the respective parts. This clip is from the chapter "Advanced Chatbots with Deep...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Machine Learning: Section Summary
In this video, we will summarize our learning from this section. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Machine Learning: Section Introduction
In this video, we will understand what machine learning is and the learning objective of this section. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Pandas Section Introduction
In this video, we will be introduced to Pandas and understand this section’s learning objective. This clip is from the chapter "Pandas" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Suggestion Box
In this video, we will have a look at the suggestion box where we can add feedback for this course. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - NumPy Section Introduction
In this video, we will have a quick overview of NumPy. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into the world...