This video helps you with user-based collaborative filtering.
<
br/>
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...

This video helps you make recommendations with collaborative filtering.
<
br/>
This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on...

This video explains and demonstrates item-based filtering data preparation.
<
br/>
This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...

This video demonstrates item-based collaborative filtering.
<
br/>
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...

This video helps you with making recommendations.
<
br/>
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...

This video talks about the recommendation engine in detail.
<
br/>
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...

This video is about the tf-idf (Term Frequency-Inverse Document Frequency) matrix.
<
br/>
This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...

This video helps you explore the genres in content-based filtering.
<
br/>
This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the...

This video explains data preparation for content-based filtering with machine learning.
<
br/>
This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This...

This video talks about the design approaches for machine learning.
<
br/>
This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the...

This video explains the quality of recommender systems in detail.
<
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...

This video helps you understand the applications and real-world challenges, and how recommender systems resolve these issues.
<
br/>
This clip is from the chapter "Motivation for Recommender System" of the series "Recommender...

This video provides an overview of recommender systems.
<
br/>
This clip is from the chapter "Motivation for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on recommender systems...

We will import two libraries, tfidf, and cosine_similarity, and then use the TF-IDF vectorizer to generate chatbot responses based on the query input.
<
br/>
This clip is from the chapter "Basics of Chatbots with Machine Learning...

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.
<
br/>...

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.
<
br/>
This...

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.
<
br/>
This...

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.
<
br/>...

In this lecture, we will understand the applications of chatbots.
<
br/>
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...

In this lesson, you will learn about the options for sorting the output result of a query in some specific order to save time and keep data better organized.
<
br/>
This clip is from the chapter "SQL - Retrieving Data with Queries"...

Let's learn more about indexes, which will help optimize queries. You will learn how to create an index and structure data using indexes.
<
br/>
This clip is from the chapter "Databases - Terminology" of the series "Master SQL for...

In this lesson, you will learn about the strengths and weaknesses of deep learning recommender system models.
<
br/>
This clip is from the chapter "Deep Learning Foundation for Recommender Systems" of the series "Recommender...

This lesson explores the variational autoencoder for collaborative filtering, using representations in hidden layers.
<
br/>
This clip is from the chapter "Deep Learning Foundation for Recommender Systems" of the series "Recommender...

In this video, we will understand neural collaborative filtering and how to incorporate it into our recommender system.
<
br/>
This clip is from the chapter "Deep Learning Foundation for Recommender Systems" of the series...