Python Artificial Intelligence Projects for Beginners
16 エピソード
1『The Course Overview』
1『The Course Overview』
This video gives an overview of the entire course.
2分
2017年12月26日
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.
5分
2017年12月26日
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分
2017年12月26日
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.
7分
2017年12月26日
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.
2分
2017年12月26日
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.
9分
2017年12月26日
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.
6分
2017年12月26日
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分
2017年12月26日
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.
5分
2017年12月26日
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.
8分
2017年12月26日
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.
4分
2017年12月26日
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.
11分
2017年12月26日
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.
9分
2017年12月26日
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.
6分
2017年12月26日
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.
15分
2017年12月26日
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.
12分
2017年12月26日
