This video demonstrates error metric computation.<br<br/>/>

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.

This video talks about the ICM (Item Content Matrix) that is used to store the data of recommender systems.
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This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine...

This video helps you understand the process and goals of recommender systems.
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This clip is from the chapter "Motivation for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on...

In this video, you will get to know more about recommender systems.
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This clip is from the chapter "Motivation for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on...

Let's understand the benefits of chatbots in eCommerce, including personalized services, real-time interaction, collection of feedback, provide metrics, lead generation, deep analytics, and storytelling.
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In this video, we will understand the benefits of chatbots in businesses, including lead qualification, lead nurturing, and data mining techniques.
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This clip is from the chapter "Advanced Chatbots with Deep Learning and...

We will explore the first kind of chatbot operating in the medical domain. We will look at the benefits, including the ability to schedule appointments, check patient symptoms, provide support, help with coverage and insurance claims,...

In this video, we will look at what deep-learning chatbots are and how they work. We will also understand the benefits of deep learning chatbots, including improved customer experience, service integration, customer care, personalized...

In this lecture, you will learn about a generative and retrieval chatbot and compare the differences between the two chatbots.
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This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of the series...

In this video, we will understand conventional and artificial intelligence-based chatbots and understand the differences between the two kinds.
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This clip is from the chapter "Advanced Chatbots with Deep Learning and Python"...

Let's explore the Natural Language Toolkit, a library used for specific tasks related to natural language processing, including tokenization, filtering words, stemming, lemmatization, chunking/chinking, and entity recognition.
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In this video, we will look at the various technologies in which machine learning has revolutionized, including customer services, eCommerce, healthcare, travel and tourism, banking and finance, and general services.
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In this lesson, we will explore the enabling features of a machine learning-based chatbot, including scaling operations, task automation, user engagement, social media interaction, multilingual models, and connectivity.
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Here, we will focus on and simplify the machine-learning architecture of chatbots with the help of an example. We will understand the NLTK library and its role in developing chatbots.
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This clip is from the chapter "Basics of...

In this video, we will outline the concepts, including the general architecture of machine learning, the purpose of chatbots, the Natural Language Toolkit (NLTK), and developing a rule-based chatbot using NLTK.
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This video is the solution to the quiz/exercise based on the concepts learned in this section.
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This clip is from the chapter "Basics of Chatbots with Machine Learning and Python" of the series "Chatbots for Beginners: A...

In this video, we will understand the challenges we face using a chatbot, including emerging trends, security, and privacy, customer saturation, predicting human behavior, user satisfaction, and user-bot communication.
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Let's understand the mechanism of how a chatbot works. It needs a predefined goal or objective to function, draft potential solution flows, validate examples, define the solution flows, and launch the chatbot.
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Let's understand what rule-based chatbots are and their mechanism of functioning in detail. Here, certain rules or criteria are provided as support to the chatbots and the tasks performed, and the responses are based on those...

In this lesson, we will look at classifying chatbots based on how they can be trained and tested, including the rule-based chatbot, where rules are specified, and self-learning chatbots, where the chatbot learns independently with the...

This video will elaborate on the benefits of using chatbots and the need for adopting chatbots, including personalized customer experience, efficient staff onboarding, standardized solutions, cost saving, and 24x7 availability.
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This lecture compares chatbots, virtual assistants, and personal assistants, delves into the three types of traits, and brings out their advantages and disadvantages at the forefront.
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This clip is from the chapter "Basics of...

In this lecture, we will understand the applications of chatbots.
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This clip is from the chapter "Basics of Chatbots with Machine Learning and Python" of the series "Chatbots for Beginners: A Complete Guide to Build...

This is a brief overview of the concepts you will learn in this module, including chatbot history and applications, benefits, types, and the process of creating a machine-learning chatbot.
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This clip is from the chapter...