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1. Congratulations! You Are Now An ML Product Manager.mp4
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MP4
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5.5 MB
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1. Congratulations! You Are Now An ML Product Manager.srt
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SRT
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3.1 KB
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1. Data Acquisition Strategies.mp4
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MP4
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42.7 MB
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1. Data Acquisition Strategies.srt
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SRT
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14.2 KB
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1. Data Scrubbing.mp4
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MP4
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15.3 MB
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1. Data Scrubbing.srt
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SRT
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9.6 KB
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1. How the ML PM's Role Differs.mp4
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MP4
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8.6 MB
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1. How the ML PM's Role Differs.srt
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SRT
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4.1 KB
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1. The AI Flywheel.mp4
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MP4
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26.2 MB
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1. The AI Flywheel.srt
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SRT
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5.9 KB
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1. The Confusion Matrix.mp4
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MP4
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32.3 MB
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1. The Confusion Matrix.srt
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SRT
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6 KB
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1. Which ML algorithm should I use.mp4
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MP4
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6.2 MB
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1. Which ML algorithm should I use.srt
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SRT
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3.3 KB
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10. Deep Learning.mp4
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MP4
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34.7 MB
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10. Deep Learning.srt
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SRT
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9.7 KB
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11. ML Real World Examples.mp4
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MP4
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34.5 MB
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11. ML Real World Examples.srt
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SRT
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6.2 KB
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12. ML Terminology.mp4
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MP4
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12.1 MB
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12. ML Terminology.srt
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SRT
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4.5 KB
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13. Exercise #3 Apply your ML Lingo.mp4
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MP4
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40.4 MB
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13. Exercise #3 Apply your ML Lingo.srt
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SRT
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9.1 KB
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14. Quiz #1 ML Introduction.html
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HTML
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204.8 B
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2. Build, Outsource or Buy Your ML Solution.mp4
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MP4
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13 MB
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2. Build, Outsource or Buy Your ML Solution.srt
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SRT
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6.3 KB
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2. Evaluation Metrics (Precision, Recall & F1 Score).mp4
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MP4
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51.8 MB
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2. Evaluation Metrics (Precision, Recall & F1 Score).srt
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SRT
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9.8 KB
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2. Google reCAPTCHA.mp4
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MP4
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50.5 MB
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2. Google reCAPTCHA.srt
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SRT
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6 KB
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2. ML Product Horror Stories.mp4
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MP4
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65.5 MB
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2. ML Product Horror Stories.srt
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SRT
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8 KB
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2. Organizing ML Teams.mp4
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MP4
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27.3 MB
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2. Organizing ML Teams.srt
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SRT
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7.3 KB
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2. Sampling and Splitting Data.mp4
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MP4
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16.6 MB
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2. Sampling and Splitting Data.srt
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SRT
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6.6 KB
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2. What is Machine Learning (ML).mp4
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MP4
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18.2 MB
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2. What is Machine Learning (ML).srt
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SRT
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6 KB
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2.1 IBM Watson Failure.html
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HTML
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102.4 B
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2.2 Racial Bias In Facial Recognition Tools.html
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HTML
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204.8 B
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3. Adjusting Course Speed.html
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HTML
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614.4 B
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3. Exercise #12 Lets Calculate Evaluation Metrics.mp4
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MP4
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18.5 MB
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3. Exercise #12 Lets Calculate Evaluation Metrics.srt
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SRT
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9.2 KB
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3. Exercise #9 Find Examples of User-Generated Data Labelling.mp4
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MP4
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23.8 MB
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3. Exercise #9 Find Examples of User-Generated Data Labelling.srt
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SRT
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4.6 KB
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3. Key Roles in An ML Team.mp4
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MP4
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24.4 MB
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3. Key Roles in An ML Team.srt
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SRT
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10 KB
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3. Machine Learning as a Service (MLaaS).mp4
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MP4
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76.8 MB
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3. Machine Learning as a Service (MLaaS).srt
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SRT
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10.3 KB
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3. Transforming Data.mp4
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MP4
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13.3 MB
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3. Transforming Data.srt
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SRT
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7.9 KB
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3. When to ML.mp4
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MP4
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13.8 MB
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3. When to ML.srt
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SRT
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5.4 KB
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4. Feature Engineering.mp4
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MP4
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6.2 MB
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4. Feature Engineering.srt
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SRT
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3.6 KB
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4. ML is Going Mainstream.mp4
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MP4
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50.7 MB
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4. ML is Going Mainstream.srt
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SRT
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10.9 KB
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4. Regression (Linear, Polynomial, Logistic).mp4
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MP4
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10.7 MB
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4. Regression (Linear, Polynomial, Logistic).srt
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SRT
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7.4 KB
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4. Start with a Simplified Problem.mp4
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MP4
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7.8 MB
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4. Start with a Simplified Problem.srt
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SRT
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3.3 KB
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4. The ML Life Cycle.mp4
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MP4
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51.6 MB
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4. The ML Life Cycle.srt
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SRT
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21.2 KB
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4. User Experience Optimization.mp4
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MP4
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20.3 MB
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4. User Experience Optimization.srt
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SRT
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8.6 KB
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4. When not to ML.mp4
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MP4
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9 MB
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4. When not to ML.srt
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SRT
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4.8 KB
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5. Classification (SVM, K-NN, Decision Trees).mp4
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MP4
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27.7 MB
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5. Classification (SVM, K-NN, Decision Trees).srt
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SRT
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14 KB
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5. Exercise #10 Design Your Data for The Model.mp4
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MP4
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14.5 MB
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5. Exercise #10 Design Your Data for The Model.srt
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SRT
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4.4 KB
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5. Exercise #11 Brainstorm a new feature.mp4
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MP4
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16.8 MB
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5. Exercise #11 Brainstorm a new feature.srt
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SRT
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5.3 KB
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5. Exercise #13 Precision, Recall or F1 score.mp4
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MP4
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25 MB
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5. Exercise #13 Precision, Recall or F1 score.srt
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SRT
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8.4 KB
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5. Exercise #4 Need interpretability.mp4
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MP4
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36.7 MB
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5. Exercise #4 Need interpretability.srt
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SRT
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9.4 KB
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5. Exercise#6 Create & Test Your Hypothesis.mp4
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MP4
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48.2 MB
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5. Exercise#6 Create & Test Your Hypothesis.srt
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SRT
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12.2 KB
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5. Get Your Course Workbook.html
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HTML
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614.4 B
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5.1 Right to Explanation.html
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HTML
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102.4 B
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6. Clustering (K-Means, Means Shift).mp4
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MP4
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17 MB
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6. Clustering (K-Means, Means Shift).srt
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SRT
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8.4 KB
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6. Deployment Methods.mp4
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MP4
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18.4 MB
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6. Deployment Methods.srt
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SRT
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8.4 KB
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6. Exercise #1 Pick Your Product.mp4
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MP4
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25.1 MB
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6. Exercise #1 Pick Your Product.srt
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SRT
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6.5 KB
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6. Exercise #7 Frame Your ML Problem.mp4
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MP4
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16.5 MB
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6. Exercise #7 Frame Your ML Problem.srt
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SRT
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5.2 KB
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6. ML Data Considerations.mp4
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MP4
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8.3 MB
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6. ML Data Considerations.srt
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SRT
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3.9 KB
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6. Quiz #5 Prepare Your Data.html
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HTML
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204.8 B
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6. Top Open Data Sources.mp4
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MP4
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68.2 MB
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6. Top Open Data Sources.srt
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SRT
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7.2 KB
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7. Anomaly Detection (Local Outlier Factor, DBSCAN).mp4
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MP4
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14.2 MB
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7. Anomaly Detection (Local Outlier Factor, DBSCAN).srt
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SRT
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7.1 KB
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7. Exercise #5 To ML or Not to ML.mp4
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MP4
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75.1 MB
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7. Exercise #5 To ML or Not to ML.srt
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SRT
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17.4 KB
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7. Exercise #8 Formulate Your ML Problem.mp4
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MP4
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26.4 MB
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7. Exercise #8 Formulate Your ML Problem.srt
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SRT
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6.3 KB
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7. How Much Data Do I Need.mp4
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MP4
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10.6 MB
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7. How Much Data Do I Need.srt
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SRT
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6.5 KB
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7. Monitoring Your Model.mp4
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MP4
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32.9 MB
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7. Monitoring Your Model.srt
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SRT
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12 KB
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7. The Learning Algorithm.mp4
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MP4
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24 MB
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7. The Learning Algorithm.srt
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SRT
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9.2 KB
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8. Ensemble Methods (Bagging, Boosting, Stacking).mp4
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MP4
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7.5 MB
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8. Ensemble Methods (Bagging, Boosting, Stacking).srt
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SRT
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5.1 KB
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8. Quiz #2 When to ML.html
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HTML
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204.8 B
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8. Quiz #3 How to ML.html
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HTML
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204.8 B
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8. Quiz #7 Deploy Your Model.html
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HTML
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204.8 B
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8. Storing Data Warehouses, Lakes & Graphs.mp4
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MP4
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25.6 MB
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8. Storing Data Warehouses, Lakes & Graphs.srt
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SRT
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9.9 KB
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8. Types of ML.mp4
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MP4
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52.3 MB
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8. Types of ML.srt
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SRT
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11 KB
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9. Congratulations!.mp4
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MP4
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19 MB
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9. Congratulations!.srt
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SRT
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1.3 KB
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9. Exercise #2 What Type of ML is This.mp4
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MP4
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30.2 MB
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9. Exercise #2 What Type of ML is This.srt
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SRT
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7.9 KB
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9. Quiz #4 Get Your Data.html
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HTML
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204.8 B
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9. Quiz #6 Build Your Model.html
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HTML
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204.8 B
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Bonus Resources.txt
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TXT
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307.2 B
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Get Bonus Downloads Here.url
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URL
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204.8 B
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