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1. Congratulations! You Are Now An ML Product Manager.mp4 |
5.54MB |
1. Congratulations! You Are Now An ML Product Manager.srt |
3.07KB |
1. Data Acquisition Strategies.mp4 |
42.66MB |
1. Data Acquisition Strategies.srt |
14.18KB |
1. Data Scrubbing.mp4 |
15.34MB |
1. Data Scrubbing.srt |
9.59KB |
1. How the ML PM's Role Differs.mp4 |
8.55MB |
1. How the ML PM's Role Differs.srt |
4.13KB |
1. The AI Flywheel.mp4 |
26.18MB |
1. The AI Flywheel.srt |
5.86KB |
1. The Confusion Matrix.mp4 |
32.26MB |
1. The Confusion Matrix.srt |
5.99KB |
1. Which ML algorithm should I use.mp4 |
6.24MB |
1. Which ML algorithm should I use.srt |
3.31KB |
10. Deep Learning.mp4 |
34.66MB |
10. Deep Learning.srt |
9.74KB |
11. ML Real World Examples.mp4 |
34.46MB |
11. ML Real World Examples.srt |
6.16KB |
12. ML Terminology.mp4 |
12.09MB |
12. ML Terminology.srt |
4.46KB |
13. Exercise #3 Apply your ML Lingo.mp4 |
40.42MB |
13. Exercise #3 Apply your ML Lingo.srt |
9.09KB |
14. Quiz #1 ML Introduction.html |
188B |
2.1 IBM Watson Failure.html |
148B |
2.2 Racial Bias In Facial Recognition Tools.html |
170B |
2. Build, Outsource or Buy Your ML Solution.mp4 |
12.99MB |
2. Build, Outsource or Buy Your ML Solution.srt |
6.31KB |
2. Evaluation Metrics (Precision, Recall & F1 Score).mp4 |
51.75MB |
2. Evaluation Metrics (Precision, Recall & F1 Score).srt |
9.75KB |
2. Google reCAPTCHA.mp4 |
50.50MB |
2. Google reCAPTCHA.srt |
5.97KB |
2. ML Product Horror Stories.mp4 |
65.50MB |
2. ML Product Horror Stories.srt |
8.04KB |
2. Organizing ML Teams.mp4 |
27.29MB |
2. Organizing ML Teams.srt |
7.34KB |
2. Sampling and Splitting Data.mp4 |
16.62MB |
2. Sampling and Splitting Data.srt |
6.59KB |
2. What is Machine Learning (ML).mp4 |
18.17MB |
2. What is Machine Learning (ML).srt |
5.99KB |
3. Adjusting Course Speed.html |
570B |
3. Exercise #12 Lets Calculate Evaluation Metrics.mp4 |
18.52MB |
3. Exercise #12 Lets Calculate Evaluation Metrics.srt |
9.24KB |
3. Exercise #9 Find Examples of User-Generated Data Labelling.mp4 |
23.78MB |
3. Exercise #9 Find Examples of User-Generated Data Labelling.srt |
4.63KB |
3. Key Roles in An ML Team.mp4 |
24.37MB |
3. Key Roles in An ML Team.srt |
10.03KB |
3. Machine Learning as a Service (MLaaS).mp4 |
76.79MB |
3. Machine Learning as a Service (MLaaS).srt |
10.34KB |
3. Transforming Data.mp4 |
13.26MB |
3. Transforming Data.srt |
7.91KB |
3. When to ML.mp4 |
13.76MB |
3. When to ML.srt |
5.37KB |
4. Feature Engineering.mp4 |
6.23MB |
4. Feature Engineering.srt |
3.61KB |
4. ML is Going Mainstream.mp4 |
50.74MB |
4. ML is Going Mainstream.srt |
10.87KB |
4. Regression (Linear, Polynomial, Logistic).mp4 |
10.69MB |
4. Regression (Linear, Polynomial, Logistic).srt |
7.36KB |
4. Start with a Simplified Problem.mp4 |
7.81MB |
4. Start with a Simplified Problem.srt |
3.28KB |
4. The ML Life Cycle.mp4 |
51.57MB |
4. The ML Life Cycle.srt |
21.23KB |
4. User Experience Optimization.mp4 |
20.31MB |
4. User Experience Optimization.srt |
8.56KB |
4. When not to ML.mp4 |
9.00MB |
4. When not to ML.srt |
4.77KB |
5.1 Right to Explanation.html |
111B |
5. Classification (SVM, K-NN, Decision Trees).mp4 |
27.67MB |
5. Classification (SVM, K-NN, Decision Trees).srt |
13.97KB |
5. Exercise #10 Design Your Data for The Model.mp4 |
14.53MB |
5. Exercise #10 Design Your Data for The Model.srt |
4.41KB |
5. Exercise #11 Brainstorm a new feature.mp4 |
16.81MB |
5. Exercise #11 Brainstorm a new feature.srt |
5.28KB |
5. Exercise #13 Precision, Recall or F1 score.mp4 |
24.98MB |
5. Exercise #13 Precision, Recall or F1 score.srt |
8.44KB |
5. Exercise #4 Need interpretability.mp4 |
36.75MB |
5. Exercise #4 Need interpretability.srt |
9.40KB |
5. Exercise#6 Create & Test Your Hypothesis.mp4 |
48.20MB |
5. Exercise#6 Create & Test Your Hypothesis.srt |
12.18KB |
5. Get Your Course Workbook.html |
655B |
6. Clustering (K-Means, Means Shift).mp4 |
17.04MB |
6. Clustering (K-Means, Means Shift).srt |
8.36KB |
6. Deployment Methods.mp4 |
18.40MB |
6. Deployment Methods.srt |
8.40KB |
6. Exercise #1 Pick Your Product.mp4 |
25.10MB |
6. Exercise #1 Pick Your Product.srt |
6.49KB |
6. Exercise #7 Frame Your ML Problem.mp4 |
16.51MB |
6. Exercise #7 Frame Your ML Problem.srt |
5.19KB |
6. ML Data Considerations.mp4 |
8.30MB |
6. ML Data Considerations.srt |
3.91KB |
6. Quiz #5 Prepare Your Data.html |
188B |
6. Top Open Data Sources.mp4 |
68.15MB |
6. Top Open Data Sources.srt |
7.15KB |
7. Anomaly Detection (Local Outlier Factor, DBSCAN).mp4 |
14.18MB |
7. Anomaly Detection (Local Outlier Factor, DBSCAN).srt |
7.07KB |
7. Exercise #5 To ML or Not to ML.mp4 |
75.08MB |
7. Exercise #5 To ML or Not to ML.srt |
17.42KB |
7. Exercise #8 Formulate Your ML Problem.mp4 |
26.42MB |
7. Exercise #8 Formulate Your ML Problem.srt |
6.27KB |
7. How Much Data Do I Need.mp4 |
10.61MB |
7. How Much Data Do I Need.srt |
6.47KB |
7. Monitoring Your Model.mp4 |
32.92MB |
7. Monitoring Your Model.srt |
11.99KB |
7. The Learning Algorithm.mp4 |
24.02MB |
7. The Learning Algorithm.srt |
9.18KB |
8. Ensemble Methods (Bagging, Boosting, Stacking).mp4 |
7.50MB |
8. Ensemble Methods (Bagging, Boosting, Stacking).srt |
5.15KB |
8. Quiz #2 When to ML.html |
188B |
8. Quiz #3 How to ML.html |
188B |
8. Quiz #7 Deploy Your Model.html |
188B |
8. Storing Data Warehouses, Lakes & Graphs.mp4 |
25.62MB |
8. Storing Data Warehouses, Lakes & Graphs.srt |
9.90KB |
8. Types of ML.mp4 |
52.29MB |
8. Types of ML.srt |
10.95KB |
9. Congratulations!.mp4 |
19.01MB |
9. Congratulations!.srt |
1.31KB |
9. Exercise #2 What Type of ML is This.mp4 |
30.17MB |
9. Exercise #2 What Type of ML is This.srt |
7.93KB |
9. Quiz #4 Get Your Data.html |
188B |
9. Quiz #6 Build Your Model.html |
188B |
Bonus Resources.txt |
357B |
Get Bonus Downloads Here.url |
177B |