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Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Dataset Discussion
In this video, we will look at the various libraries we would need to import for this project, including os, math, NumPy, time, and Pandas.
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Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Project Introduction
This video provides an overview of the movie recommendation system using collaborative filtering.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Find Closest Title
In this lesson, we will try to locate the nearest element to the search, and we will do this using functions.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Fuzzywuzzy Implementation
You will learn to develop the two types of functions needed to make the recommender engine.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Similarity Index
In this lesson, we will explore how to use the similarity index.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: tf-idf Implementation
In this video, we will understand how to calculate and use the tf-idf vectorizers with sklearn.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Occurrence Count
In this video, you will learn how to count the number of occurrences of each element in content-based filtering.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Exploring Genres
In this lesson, we will explore the elements of the dataset called genres.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Missing Values
In this lesson, we will develop a new data frame for our content-based filtering for missing values.
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AWS Certified Solutions Architect Associate (SAA-C03) - Media Content Delivery
We live in an age of media. New media. Social media. Whatever the media platform, AWS provides a solution for it. This video explores the various media creation, management and distribution services of AWS.
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AWS Certified Solutions Architect Associate (SAA-C03) - Additional Security Services
This video explains the basics of Cognito, GuardDuty, and Macie as it relates to authentication and security monitoring. It also explores the threat vectors of which you should be aware.
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Generative AI Art for Beginners - AI Theory 101
In this video, we will dive into the theory behind AI, including Natural Language Processing (NLP), Machine Learning (ML), and supervised learning. We will also give you a quick introduction to GPT-3, the powerful AI language model that...
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Deep Learning - Artificial Neural Networks with Tensorflow - Adam Optimization (Part 2)
In this video, we will understand more about Adam optimization. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive...
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Deep Learning - Artificial Neural Networks with Tensorflow - Adam Optimization (Part 1)
In this video, we will talk about Adam optimization, get introduced to Adam, and understand its basics. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with...
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Deep Learning - Artificial Neural Networks with Tensorflow - Variable and Adaptive Learning Rates
In this video, we will discuss variable and adaptive learning rates. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will...
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Deep Learning - Artificial Neural Networks with Tensorflow - Momentum
In this video, you will learn about momentum. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive deeper into...
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Deep Learning - Artificial Neural Networks with Tensorflow - Stochastic Gradient Descent
In this video, you will learn about stochastic gradient descent. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive...
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Deep Learning - Artificial Neural Networks with Tensorflow - Gradient Descent
In this video, we will get introduced to gradient descent. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive...
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Deep Learning - Artificial Neural Networks with Tensorflow - Categorical Cross Entropy
In this video, you will learn about categorical cross entropy, which is used in multiclass classification. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with...
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Deep Learning - Artificial Neural Networks with Tensorflow - Binary Cross Entropy
In this video, you will learn about binary cross entropy, which is the correct loss function to use for binary classification. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural...
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Deep Learning - Artificial Neural Networks with Tensorflow - Mean Squared Error
In this video, we will understand MSE (Mean Squared Error) from a probabilistic perspective. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
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Deep Learning - Artificial Neural Networks with Tensorflow - How to Choose Hyperparameters
In this video, we will understand how to choose hyperparameters. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will...
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Deep Learning - Artificial Neural Networks with Tensorflow - ANN for Regression
In this video, we will understand regression in ANN. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will cover...
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Deep Learning - Artificial Neural Networks with Tensorflow - ANN for Image Classification
In this video, we will work on image classification with the MNIST dataset. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...