How to Think About Machine Learning Algorithms Swetha Kolalapudi 2016

How to Think About Machine Learning Algorithms Swetha Kolalapudi 2016

Name	How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	392.5 MB
Total Files	78
Last Seen	2025-05-27 01:50
Hash	0A24CB29DEB600BBD08FD0B3C23B1DD82B0E9222

/
~i.txt	1.5 KB
cover.jpg	78.6 KB
exercise.7z	9.9 MB
playlist.m3u	3.2 KB
/1. Course Overview/
1. Course Overview.mp4	3.9 MB
1. Course Overview.vtt	2.6 KB
/2. Introducing Machine Learning/
1. Recognizing Machine Learning Applications.mp4	12.1 MB
1. Recognizing Machine Learning Applications.vtt	7.8 KB
2. Knowing When to Use Machine Learning.mp4	14.3 MB
2. Knowing When to Use Machine Learning.vtt	7.3 KB
3. Understanding the Machine Learning Process.mp4	8.0 MB
3. Understanding the Machine Learning Process.vtt	6.5 KB
4. Identifying the Type of a Machine Learning Problem.mp4	15.2 MB
4. Identifying the Type of a Machine Learning Problem.vtt	11.5 KB
/3. Classifying Data into Predefined Categories/
1. Understanding the Setup of a Classification Problem.mp4	15.5 MB
1. Understanding the Setup of a Classification Problem.vtt	10.5 KB
2. Detecting the Gender of a User.mp4	8.2 MB
2. Detecting the Gender of a User.vtt	5.5 KB
3. Classifying Text on the Basis of Sentiment.mp4	11.0 MB
3. Classifying Text on the Basis of Sentiment.vtt	6.8 KB
4. Deciding a Trading Strategy.mp4	5.7 MB
4. Deciding a Trading Strategy.vtt	4.9 KB
5. Detecting Ads.mp4	5.4 MB
5. Detecting Ads.vtt	3.8 KB
6. Understanding Customer Behavior.mp4	9.1 MB
6. Understanding Customer Behavior.vtt	6.9 KB
/4. Solving Classification Problems/
1. Using the Naive Bayes Algorithm for Sentiment Analysis.mp4	14.2 MB
1. Using the Naive Bayes Algorithm for Sentiment Analysis.vtt	10.1 KB
2. Understanding When to use Naive Bayes.mp4	3.5 MB
2. Understanding When to use Naive Bayes.vtt	2.6 KB
3. Implementing Naive Bayes.mp4	22.1 MB
3. Implementing Naive Bayes.vtt	10.4 KB
4. Detecting Ads Using Support Vector Machines.mp4	8.6 MB
4. Detecting Ads Using Support Vector Machines.vtt	6.1 KB
5. Implementing Support Vector Machines.mp4	24.9 MB
5. Implementing Support Vector Machines.vtt	11.9 KB
/5. Predicting Relationships between Variables with Regression/
1. Understanding the Regression Setup.mp4	6.5 MB
1. Understanding the Regression Setup.vtt	5.0 KB
2. Forecasting Demand.mp4	3.9 MB
2. Forecasting Demand.vtt	3.3 KB
3. Predicting Stock Returns.mp4	5.0 MB
3. Predicting Stock Returns.vtt	3.5 KB
4. Detecting Facial Features.mp4	5.3 MB
4. Detecting Facial Features.vtt	3.2 KB
5. Contrasting Classification and Regression.mp4	9.8 MB
5. Contrasting Classification and Regression.vtt	8.0 KB
/6. Solving Regression Problems/
1. Introducing Linear Regression.mp4	6.3 MB
1. Introducing Linear Regression.vtt	4.7 KB
2. Applying Linear Regression to Quant Trading.mp4	8.1 MB
2. Applying Linear Regression to Quant Trading.vtt	5.5 KB
3. Minimizing Error Using Stochastic Gradient Descent.mp4	13.6 MB
3. Minimizing Error Using Stochastic Gradient Descent.vtt	6.0 KB
4. Finding the Beta for Google.mp4	9.5 MB
4. Finding the Beta for Google.vtt	5.5 KB
5. Implementing Linear Regression in Python.mp4	8.5 MB
5. Implementing Linear Regression in Python.vtt	4.4 KB
/7. Recommending Relevant Products to a User/
1. Appreciating the Role of Recommendations.mp4	9.6 MB
1. Appreciating the Role of Recommendations.vtt	6.0 KB
2. Predicting Ratings Using Collaborative Filtering.mp4	13.4 MB
2. Predicting Ratings Using Collaborative Filtering.vtt	9.7 KB
3. Finding Hidden Factors that Influence Ratings.mp4	15.7 MB
3. Finding Hidden Factors that Influence Ratings.vtt	10.0 KB
4. Understanding the Alternative Least Squares Algorithm.mp4	8.9 MB
4. Understanding the Alternative Least Squares Algorithm.vtt	5.3 KB
5. Implementing ALS to Find Movie Recommendations.mp4	5.9 MB
5. Implementing ALS to Find Movie Recommendations.vtt	4.1 KB
/8. Clustering Large Data Sets into Meaningful Groups/
1. Understanding the Clustering Setup.mp4	10.3 MB
1. Understanding the Clustering Setup.vtt	7.1 KB
2. Contrasting Clustering and Classification.mp4	14.1 MB
2. Contrasting Clustering and Classification.vtt	9.6 KB
3. Document Clustering with K-Means.mp4	11.7 MB
3. Document Clustering with K-Means.vtt	7.6 KB
4. Implementing K-Means Clustering.mp4	11.8 MB
4. Implementing K-Means Clustering.vtt	6.2 KB
/9. Wrapping up and Next Steps/
1. Surveying Machine Learning Techniques.mp4	11.4 MB
1. Surveying Machine Learning Techniques.vtt	9.5 KB
2. Looking Ahead.mp4	11.5 MB
2. Looking Ahead.vtt	7.9 KB
Total files 78