Pluralsight - Key Concepts Machine Learning

Files Included :

01 Course Overview.mp4 (3.22 MB)
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02 Prerequisites and Course Outline.mp4 (2.84 MB)
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03 What Is Machine Learning.mp4 (10.75 MB)
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04 Rule-based Systems.mp4 (6.12 MB)
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05 Rule-based Systems vs ML-based Systems.mp4 (8.95 MB)
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06 Traditional ML Models and Representation ML Models.mp4 (9.58 MB)
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07 Traditional ML Models vs Deep Learning ML Models.mp4 (4.33 MB)
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08 The Machine Learning Mindset.mp4 (7.93 MB)
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09 Examples of AI in the Real World.mp4 (7.73 MB)
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10 Choosing the Right Machine Learning Solution.mp4 (7.37 MB)
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11 Supervised vs Unsupervised Learning.mp4 (11.16 MB)
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12 Specialized ML Problems-Recommendation Systems.mp4 (7.73 MB)
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13 Specialized ML Problems-Association Rules Learning.mp4 (3.44 MB)
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14 Specialized ML Problems-Reinforcement Learning.mp4 (3.63 MB)
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15 Identifying Characteristics of Good ML Problems.mp4 (11.15 MB)
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16 Framing a Machine Learning Solution.mp4 (8.27 MB)
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17 Applying ML to Text Image and Speech Data.mp4 (3.21 MB)
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18 Applying Machine Learning to Text Data.mp4 (10.84 MB)
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19 Preprocessing Text Data.mp4 (5.33 MB)
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20 Applying Machine Learning to Image Data.mp4 (6.92 MB)
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21 The Intuition Behind CNNs.mp4 (6.54 MB)
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22 Applying Machine Learning to Speech Data.mp4 (12.45 MB)
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23 Quick Overview of Linear Regression.mp4 (6.73 MB)
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24 The Machine Learning Workflow.mp4 (4.61 MB)
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25 Demo-Exploring and Understanding the Salary Dataset.mp4 (8.46 MB)
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26 Demo-Dealing with Outliers and Missing Values.mp4 (8.12 MB)
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27 Demo-Performing Simple Linear Regression.mp4 (8.63 MB)
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28 Summary and Further Study.mp4 (1.77 MB)
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