| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/~i.txt |
1 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/cover.jpg |
77 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/exercise.7z |
9.5 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/playlist.m3u |
3 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/1. Course Overview/1. Course Overview.mp4 |
3.7 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/1. Course Overview/1. Course Overview.vtt |
3 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/2. Introducing Machine Learning/1. Recognizing Machine Learning Applications.mp4 |
11.5 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/2. Introducing Machine Learning/1. Recognizing Machine Learning Applications.vtt |
8 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/2. Introducing Machine Learning/2. Knowing When to Use Machine Learning.mp4 |
13.7 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/2. Introducing Machine Learning/2. Knowing When to Use Machine Learning.vtt |
7 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/2. Introducing Machine Learning/3. Understanding the Machine Learning Process.mp4 |
7.6 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/2. Introducing Machine Learning/3. Understanding the Machine Learning Process.vtt |
6 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/2. Introducing Machine Learning/4. Identifying the Type of a Machine Learning Problem.mp4 |
14.5 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/2. Introducing Machine Learning/4. Identifying the Type of a Machine Learning Problem.vtt |
11 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/1. Understanding the Setup of a Classification Problem.mp4 |
14.8 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/1. Understanding the Setup of a Classification Problem.vtt |
10 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/2. Detecting the Gender of a User.mp4 |
7.8 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/2. Detecting the Gender of a User.vtt |
5 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/3. Classifying Text on the Basis of Sentiment.mp4 |
10.5 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/3. Classifying Text on the Basis of Sentiment.vtt |
7 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/4. Deciding a Trading Strategy.mp4 |
5.4 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/4. Deciding a Trading Strategy.vtt |
5 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/5. Detecting Ads.mp4 |
5.1 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/5. Detecting Ads.vtt |
4 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/6. Understanding Customer Behavior.mp4 |
8.6 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/3. Classifying Data into Predefined Categories/6. Understanding Customer Behavior.vtt |
7 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/4. Solving Classification Problems/1. Using the Naive Bayes Algorithm for Sentiment Analysis.mp4 |
13.5 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/4. Solving Classification Problems/1. Using the Naive Bayes Algorithm for Sentiment Analysis.vtt |
10 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/4. Solving Classification Problems/2. Understanding When to use Naive Bayes.mp4 |
3.3 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/4. Solving Classification Problems/2. Understanding When to use Naive Bayes.vtt |
3 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/4. Solving Classification Problems/3. Implementing Naive Bayes.mp4 |
21 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/4. Solving Classification Problems/3. Implementing Naive Bayes.vtt |
10 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/4. Solving Classification Problems/4. Detecting Ads Using Support Vector Machines.mp4 |
8.2 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/4. Solving Classification Problems/4. Detecting Ads Using Support Vector Machines.vtt |
6 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/4. Solving Classification Problems/5. Implementing Support Vector Machines.mp4 |
23.7 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/4. Solving Classification Problems/5. Implementing Support Vector Machines.vtt |
12 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/5. Predicting Relationships between Variables with Regression/1. Understanding the Regression Setup.mp4 |
6.2 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/5. Predicting Relationships between Variables with Regression/1. Understanding the Regression Setup.vtt |
5 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/5. Predicting Relationships between Variables with Regression/2. Forecasting Demand.mp4 |
3.8 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/5. Predicting Relationships between Variables with Regression/2. Forecasting Demand.vtt |
3 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/5. Predicting Relationships between Variables with Regression/3. Predicting Stock Returns.mp4 |
4.8 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/5. Predicting Relationships between Variables with Regression/3. Predicting Stock Returns.vtt |
3 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/5. Predicting Relationships between Variables with Regression/4. Detecting Facial Features.mp4 |
5 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/5. Predicting Relationships between Variables with Regression/4. Detecting Facial Features.vtt |
3 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/5. Predicting Relationships between Variables with Regression/5. Contrasting Classification and Regression.mp4 |
9.3 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/5. Predicting Relationships between Variables with Regression/5. Contrasting Classification and Regression.vtt |
8 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/6. Solving Regression Problems/1. Introducing Linear Regression.mp4 |
6 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/6. Solving Regression Problems/1. Introducing Linear Regression.vtt |
5 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/6. Solving Regression Problems/2. Applying Linear Regression to Quant Trading.mp4 |
7.8 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/6. Solving Regression Problems/2. Applying Linear Regression to Quant Trading.vtt |
5 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/6. Solving Regression Problems/3. Minimizing Error Using Stochastic Gradient Descent.mp4 |
13 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/6. Solving Regression Problems/3. Minimizing Error Using Stochastic Gradient Descent.vtt |
6 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/6. Solving Regression Problems/4. Finding the Beta for Google.mp4 |
9 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/6. Solving Regression Problems/4. Finding the Beta for Google.vtt |
5 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/6. Solving Regression Problems/5. Implementing Linear Regression in Python.mp4 |
8.1 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/6. Solving Regression Problems/5. Implementing Linear Regression in Python.vtt |
4 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/7. Recommending Relevant Products to a User/1. Appreciating the Role of Recommendations.mp4 |
9.1 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/7. Recommending Relevant Products to a User/1. Appreciating the Role of Recommendations.vtt |
6 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/7. Recommending Relevant Products to a User/2. Predicting Ratings Using Collaborative Filtering.mp4 |
12.8 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/7. Recommending Relevant Products to a User/2. Predicting Ratings Using Collaborative Filtering.vtt |
9 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/7. Recommending Relevant Products to a User/3. Finding Hidden Factors that Influence Ratings.mp4 |
15 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/7. Recommending Relevant Products to a User/3. Finding Hidden Factors that Influence Ratings.vtt |
10 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/7. Recommending Relevant Products to a User/4. Understanding the Alternative Least Squares Algorithm.mp4 |
8.5 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/7. Recommending Relevant Products to a User/4. Understanding the Alternative Least Squares Algorithm.vtt |
5 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/7. Recommending Relevant Products to a User/5. Implementing ALS to Find Movie Recommendations.mp4 |
5.6 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/7. Recommending Relevant Products to a User/5. Implementing ALS to Find Movie Recommendations.vtt |
4 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/8. Clustering Large Data Sets into Meaningful Groups/1. Understanding the Clustering Setup.mp4 |
9.8 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/8. Clustering Large Data Sets into Meaningful Groups/1. Understanding the Clustering Setup.vtt |
7 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/8. Clustering Large Data Sets into Meaningful Groups/2. Contrasting Clustering and Classification.mp4 |
13.5 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/8. Clustering Large Data Sets into Meaningful Groups/2. Contrasting Clustering and Classification.vtt |
9 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/8. Clustering Large Data Sets into Meaningful Groups/3. Document Clustering with K-Means.mp4 |
11.1 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/8. Clustering Large Data Sets into Meaningful Groups/3. Document Clustering with K-Means.vtt |
7 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/8. Clustering Large Data Sets into Meaningful Groups/4. Implementing K-Means Clustering.mp4 |
11.3 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/8. Clustering Large Data Sets into Meaningful Groups/4. Implementing K-Means Clustering.vtt |
6 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/9. Wrapping up and Next Steps/1. Surveying Machine Learning Techniques.mp4 |
10.9 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/9. Wrapping up and Next Steps/1. Surveying Machine Learning Techniques.vtt |
9 KB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/9. Wrapping up and Next Steps/2. Looking Ahead.mp4 |
10.9 MB |
| How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)/9. Wrapping up and Next Steps/2. Looking Ahead.vtt |
8 KB |
Magnet link
