Torrent Info
Title [ TutSala.com ] Udemy - Machine Learning for Product Managers - A Practical Guide
Category
Size 1.43GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
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
Distribution statistics by country
France (FR) 1
Israel (IL) 1
Netherlands (NL) 1
Romania (RO) 1
Total 4
IP List List of IP addresses which were distributed this torrent