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文档列表

~Get Your Files Here !/6. Build Your Model/3. Machine Learning as a Service (MLaaS).mp4 80.5 MB
~Get Your Files Here !/2. When to ML/7. Exercise #5 To ML or Not to ML.mp4 78.7 MB
~Get Your Files Here !/4. Get Your Data/6. Top Open Data Sources.mp4 71.5 MB
~Get Your Files Here !/2. When to ML/2. ML Product Horror Stories.mp4 68.7 MB
~Get Your Files Here !/1. Intro to ML/8. Types of ML.mp4 54.8 MB
~Get Your Files Here !/7. Deploy Your Model/2. Evaluation Metrics (Precision, Recall & F1 Score).mp4 54.3 MB
~Get Your Files Here !/3. How to ML/4. The ML Life Cycle.mp4 54.1 MB
~Get Your Files Here !/1. Intro to ML/4. ML is Going Mainstream.mp4 53.2 MB
~Get Your Files Here !/4. Get Your Data/2. Google reCAPTCHA.mp4 53.0 MB
~Get Your Files Here !/3. How to ML/5. Exercise#6 Create & Test Your Hypothesis.mp4 50.5 MB
~Get Your Files Here !/4. Get Your Data/1. Data Acquisition Strategies.mp4 44.7 MB
~Get Your Files Here !/1. Intro to ML/13. Exercise #3 Apply your ML Lingo.mp4 42.4 MB
~Get Your Files Here !/2. When to ML/5. Exercise #4 Need interpretability.mp4 38.5 MB
~Get Your Files Here !/1. Intro to ML/10. Deep Learning.mp4 36.3 MB
~Get Your Files Here !/1. Intro to ML/11. ML Real World Examples.mp4 36.1 MB
~Get Your Files Here !/7. Deploy Your Model/7. Monitoring Your Model.mp4 34.5 MB
~Get Your Files Here !/7. Deploy Your Model/1. The Confusion Matrix.mp4 33.8 MB
~Get Your Files Here !/1. Intro to ML/9. Exercise #2 What Type of ML is This.mp4 31.6 MB
~Get Your Files Here !/6. Build Your Model/5. Classification (SVM, K-NN, Decision Trees).mp4 29.0 MB
~Get Your Files Here !/3. How to ML/2. Organizing ML Teams.mp4 28.6 MB
~Get Your Files Here !/3. How to ML/7. Exercise #8 Formulate Your ML Problem.mp4 27.7 MB
~Get Your Files Here !/2. When to ML/1. The AI Flywheel.mp4 27.5 MB
~Get Your Files Here !/4. Get Your Data/8. Storing Data Warehouses, Lakes & Graphs.mp4 26.9 MB
~Get Your Files Here !/1. Intro to ML/6. Exercise #1 Pick Your Product.mp4 26.3 MB
~Get Your Files Here !/7. Deploy Your Model/5. Exercise #13 Precision, Recall or F1 score.mp4 26.2 MB
~Get Your Files Here !/3. How to ML/3. Key Roles in An ML Team.mp4 25.5 MB
~Get Your Files Here !/1. Intro to ML/7. The Learning Algorithm.mp4 25.2 MB
~Get Your Files Here !/4. Get Your Data/3. Exercise #9 Find Examples of User-Generated Data Labelling.mp4 24.9 MB
~Get Your Files Here !/7. Deploy Your Model/4. User Experience Optimization.mp4 21.3 MB
~Get Your Files Here !/7. Deploy Your Model/9. Congratulations!.mp4 19.9 MB
~Get Your Files Here !/7. Deploy Your Model/3. Exercise #12 Lets Calculate Evaluation Metrics.mp4 19.4 MB
~Get Your Files Here !/7. Deploy Your Model/6. Deployment Methods.mp4 19.3 MB
~Get Your Files Here !/1. Intro to ML/2. What is Machine Learning (ML).mp4 19.0 MB
~Get Your Files Here !/6. Build Your Model/6. Clustering (K-Means, Means Shift).mp4 17.9 MB
~Get Your Files Here !/5. Prepare Your Data/5. Exercise #11 Brainstorm a new feature.mp4 17.6 MB
~Get Your Files Here !/5. Prepare Your Data/2. Sampling and Splitting Data.mp4 17.4 MB
~Get Your Files Here !/3. How to ML/6. Exercise #7 Frame Your ML Problem.mp4 17.3 MB
~Get Your Files Here !/5. Prepare Your Data/1. Data Scrubbing.mp4 16.1 MB
~Get Your Files Here !/4. Get Your Data/5. Exercise #10 Design Your Data for The Model.mp4 15.2 MB
~Get Your Files Here !/6. Build Your Model/7. Anomaly Detection (Local Outlier Factor, DBSCAN).mp4 14.9 MB
~Get Your Files Here !/2. When to ML/3. When to ML.mp4 14.4 MB
~Get Your Files Here !/5. Prepare Your Data/3. Transforming Data.mp4 13.9 MB
~Get Your Files Here !/6. Build Your Model/2. Build, Outsource or Buy Your ML Solution.mp4 13.6 MB
~Get Your Files Here !/1. Intro to ML/12. ML Terminology.mp4 12.7 MB
~Get Your Files Here !/6. Build Your Model/4. Regression (Linear, Polynomial, Logistic).mp4 11.2 MB
~Get Your Files Here !/4. Get Your Data/7. How Much Data Do I Need.mp4 11.1 MB
~Get Your Files Here !/2. When to ML/4. When not to ML.mp4 9.4 MB
~Get Your Files Here !/3. How to ML/1. How the ML PM's Role Differs.mp4 9.0 MB
~Get Your Files Here !/2. When to ML/6. ML Data Considerations.mp4 8.7 MB
~Get Your Files Here !/4. Get Your Data/4. Start with a Simplified Problem.mp4 8.2 MB
~Get Your Files Here !/6. Build Your Model/8. Ensemble Methods (Bagging, Boosting, Stacking).mp4 7.9 MB
~Get Your Files Here !/6. Build Your Model/1. Which ML algorithm should I use.mp4 6.5 MB
~Get Your Files Here !/5. Prepare Your Data/4. Feature Engineering.mp4 6.5 MB
~Get Your Files Here !/1. Intro to ML/1. Congratulations! You Are Now An ML Product Manager.mp4 5.8 MB
~Get Your Files Here !/3. How to ML/4. The ML Life Cycle.srt 21.7 kB
~Get Your Files Here !/2. When to ML/7. Exercise #5 To ML or Not to ML.srt 17.8 kB
~Get Your Files Here !/4. Get Your Data/1. Data Acquisition Strategies.srt 14.5 kB
~Get Your Files Here !/6. Build Your Model/5. Classification (SVM, K-NN, Decision Trees).srt 14.3 kB
~Get Your Files Here !/3. How to ML/5. Exercise#6 Create & Test Your Hypothesis.srt 12.5 kB
~Get Your Files Here !/7. Deploy Your Model/7. Monitoring Your Model.srt 12.3 kB
~Get Your Files Here !/1. Intro to ML/8. Types of ML.srt 11.2 kB
~Get Your Files Here !/1. Intro to ML/4. ML is Going Mainstream.srt 11.1 kB
~Get Your Files Here !/6. Build Your Model/3. Machine Learning as a Service (MLaaS).srt 10.6 kB
~Get Your Files Here !/3. How to ML/3. Key Roles in An ML Team.srt 10.3 kB
~Get Your Files Here !/4. Get Your Data/8. Storing Data Warehouses, Lakes & Graphs.srt 10.1 kB
~Get Your Files Here !/7. Deploy Your Model/2. Evaluation Metrics (Precision, Recall & F1 Score).srt 10.0 kB
~Get Your Files Here !/1. Intro to ML/10. Deep Learning.srt 10.0 kB
~Get Your Files Here !/5. Prepare Your Data/1. Data Scrubbing.srt 9.8 kB
~Get Your Files Here !/2. When to ML/5. Exercise #4 Need interpretability.srt 9.6 kB
~Get Your Files Here !/7. Deploy Your Model/3. Exercise #12 Lets Calculate Evaluation Metrics.srt 9.5 kB
~Get Your Files Here !/1. Intro to ML/7. The Learning Algorithm.srt 9.4 kB
~Get Your Files Here !/1. Intro to ML/13. Exercise #3 Apply your ML Lingo.srt 9.3 kB
~Get Your Files Here !/7. Deploy Your Model/4. User Experience Optimization.srt 8.8 kB
~Get Your Files Here !/7. Deploy Your Model/5. Exercise #13 Precision, Recall or F1 score.srt 8.6 kB
~Get Your Files Here !/7. Deploy Your Model/6. Deployment Methods.srt 8.6 kB
~Get Your Files Here !/6. Build Your Model/6. Clustering (K-Means, Means Shift).srt 8.6 kB
~Get Your Files Here !/2. When to ML/2. ML Product Horror Stories.srt 8.2 kB
~Get Your Files Here !/1. Intro to ML/9. Exercise #2 What Type of ML is This.srt 8.1 kB
~Get Your Files Here !/5. Prepare Your Data/3. Transforming Data.srt 8.1 kB
~Get Your Files Here !/6. Build Your Model/4. Regression (Linear, Polynomial, Logistic).srt 7.5 kB
~Get Your Files Here !/3. How to ML/2. Organizing ML Teams.srt 7.5 kB
~Get Your Files Here !/4. Get Your Data/6. Top Open Data Sources.srt 7.3 kB
~Get Your Files Here !/6. Build Your Model/7. Anomaly Detection (Local Outlier Factor, DBSCAN).srt 7.2 kB
~Get Your Files Here !/5. Prepare Your Data/2. Sampling and Splitting Data.srt 6.8 kB
~Get Your Files Here !/1. Intro to ML/6. Exercise #1 Pick Your Product.srt 6.6 kB
~Get Your Files Here !/4. Get Your Data/7. How Much Data Do I Need.srt 6.6 kB
~Get Your Files Here !/6. Build Your Model/2. Build, Outsource or Buy Your ML Solution.srt 6.5 kB
~Get Your Files Here !/3. How to ML/7. Exercise #8 Formulate Your ML Problem.srt 6.4 kB
~Get Your Files Here !/1. Intro to ML/11. ML Real World Examples.srt 6.3 kB
~Get Your Files Here !/1. Intro to ML/2. What is Machine Learning (ML).srt 6.1 kB
~Get Your Files Here !/7. Deploy Your Model/1. The Confusion Matrix.srt 6.1 kB
~Get Your Files Here !/4. Get Your Data/2. Google reCAPTCHA.srt 6.1 kB
~Get Your Files Here !/2. When to ML/1. The AI Flywheel.srt 6.0 kB
~Get Your Files Here !/2. When to ML/3. When to ML.srt 5.5 kB
~Get Your Files Here !/5. Prepare Your Data/5. Exercise #11 Brainstorm a new feature.srt 5.4 kB
~Get Your Files Here !/3. How to ML/6. Exercise #7 Frame Your ML Problem.srt 5.3 kB
~Get Your Files Here !/6. Build Your Model/8. Ensemble Methods (Bagging, Boosting, Stacking).srt 5.3 kB
~Get Your Files Here !/2. When to ML/4. When not to ML.srt 4.9 kB
~Get Your Files Here !/4. Get Your Data/3. Exercise #9 Find Examples of User-Generated Data Labelling.srt 4.7 kB
~Get Your Files Here !/1. Intro to ML/12. ML Terminology.srt 4.6 kB
~Get Your Files Here !/4. Get Your Data/5. Exercise #10 Design Your Data for The Model.srt 4.5 kB
~Get Your Files Here !/3. How to ML/1. How the ML PM's Role Differs.srt 4.2 kB
~Get Your Files Here !/2. When to ML/6. ML Data Considerations.srt 4.0 kB
~Get Your Files Here !/5. Prepare Your Data/4. Feature Engineering.srt 3.7 kB
~Get Your Files Here !/6. Build Your Model/1. Which ML algorithm should I use.srt 3.4 kB
~Get Your Files Here !/4. Get Your Data/4. Start with a Simplified Problem.srt 3.4 kB
~Get Your Files Here !/1. Intro to ML/1. Congratulations! You Are Now An ML Product Manager.srt 3.1 kB
~Get Your Files Here !/7. Deploy Your Model/9. Congratulations!.srt 1.3 kB
~Get Your Files Here !/1. Intro to ML/5. Get Your Course Workbook.html 655 Bytes
~Get Your Files Here !/1. Intro to ML/3. Adjusting Course Speed.html 570 Bytes
~Get Your Files Here !/Bonus Resources.txt 357 Bytes
~Get Your Files Here !/1. Intro to ML/14. Quiz #1 ML Introduction.html 188 Bytes
~Get Your Files Here !/2. When to ML/8. Quiz #2 When to ML.html 188 Bytes
~Get Your Files Here !/3. How to ML/8. Quiz #3 How to ML.html 188 Bytes
~Get Your Files Here !/4. Get Your Data/9. Quiz #4 Get Your Data.html 188 Bytes
~Get Your Files Here !/5. Prepare Your Data/6. Quiz #5 Prepare Your Data.html 188 Bytes
~Get Your Files Here !/6. Build Your Model/9. Quiz #6 Build Your Model.html 188 Bytes
~Get Your Files Here !/7. Deploy Your Model/8. Quiz #7 Deploy Your Model.html 188 Bytes
Get Bonus Downloads Here.url 177 Bytes
~Get Your Files Here !/2. When to ML/2.2 Racial Bias In Facial Recognition Tools.html 170 Bytes
~Get Your Files Here !/2. When to ML/2.1 IBM Watson Failure.html 148 Bytes
~Get Your Files Here !/2. When to ML/5.1 Right to Explanation.html 111 Bytes

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