16 odcinków
1. The Course Overview
1. The Course Overview
This video gives an overview of the entire course.
2. Classification Overview and Evaluation Techniques
2. Classification Overview and Evaluation Techniques
In this video, we will see what classification is and also, we will see how well a system is performing in this task.
3. Decision Trees
3. Decision Trees
In this video, we will see what a decision tree is, how it works, and what is it good for.
4. Prediction with Decision Trees and Student Performance Data
4. Prediction with Decision Trees and Student Performance Data
In this video, we will see how we can predict a student's performance in a course. We can do so by looking at the student's prior performance and some facts about their home life. A decision tree classifier can be used to learn how to predict performance based on these historical attributes.
5. Random Forests
5. Random Forests
In this video, we will see what a random forest is, how it works, and what is it good for.
6. Predicting Bird Species with Random Forests
6. Predicting Bird Species with Random Forests
In this video, we will see how we can predict the species of a bird based on various attributes.
7. The Problem of Text Classification
7. The Problem of Text Classification
In this video, we will see how we can manipulate text in order to use a classification technique, such as random forests. One popular approach is the bag-of-words model.
8. Detecting YouTube Comment Spam with Bag of Words and Random Forests
8. Detecting YouTube Comment Spam with Bag of Words and Random Forests
In this video, we will see how we can identify spam comments on a website. We look at a YouTube spam dataset to practice with bag-of-words and random forests to solve this problem.
9. Word2Vec Models
9. Word2Vec Models
Is there any other way to represent text, perhaps more accurately? Indeed, Word2Vec is a more sophisticated approach that can yield more accurate results and this video explains that.
10. Detecting Positive/Negative Sentiment in User Reviews
10. Detecting Positive/Negative Sentiment in User Reviews
In this video, we will see how we can identify positive and negative product reviews and how to use word2vec and doc2vec models to find which documents are similar to each other.
11. Neural Networks
11. Neural Networks
In this video, we will see what neural networks are, why are they named this way, and how do they work.
12. Identifying the Genre of a Song Using Audio Analysis and Neural Networks
12. Identifying the Genre of a Song Using Audio Analysis and Neural Networks
In this video, how we can identify the genre of a song.
13. Revising the Spam Detector to Use Neural Networks
13. Revising the Spam Detector to Use Neural Networks
In this video, we will see how to use neural networks for text data.
14. Overview of Deep Learning and Convolutional Neural Networks
14. Overview of Deep Learning and Convolutional Neural Networks
In this video, we will see what deep learning is, why is it a popular term today, how does it work, and what are popular techniques in deep learning.
15. Identifying Handwritten Mathematical Symbols with Convolutional Neural Networks
15. Identifying Handwritten Mathematical Symbols with Convolutional Neural Networks
In this video, we will see how to use CNNs to classify images.
16. Revising the Bird Species Identifier to Use Images
16. Revising the Bird Species Identifier to Use Images
In this video, we will see how to use more sophisticated CNNs to classify images.
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Python Artificial Intelligence Projects for Beginners
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