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[ CourseBoat.com ] Linkedin - Machine Learning and AI Foundations - Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
Category:
Other
Size:
360.47 MB
Seeders:
5
Leechers:
1
Downloads:
428
Uploaded:
Mar 11, 2022
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[ CourseBoat.com ] Linkedin - Machine Learning and AI Foundations - Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
~Get Your Files Here !
3. Why Isolating a Variable’s Contribution Is Difficult
011. Challe.mp4
- 23.08 MB
013. Rashom.mp4
- 11.71 MB
012. Challe.mp4
- 7.85 MB
011. Challe.en.srt
- 12.96 KB
013. Rashom.en.srt
- 6.93 KB
012. Challe.en.srt
- 5.05 KB
6. XAI Techniques Global Explanations
026. Global feature importanc.mp4
- 21.08 MB
024. Developing and interpret.mp4
- 12.83 MB
022. Providing global explana.mp4
- 12.26 MB
023. Using surrogate models f.mp4
- 5.88 MB
025. Permutation feature impo.mp4
- 4.65 MB
026. Global feature importanc.en.srt
- 10.4 KB
022. Providing global explana.en.srt
- 6.59 KB
024. Developing and interpret.en.srt
- 6.49 KB
023. Using surrogate models f.en.srt
- 2.58 KB
025. Permutation feature impo.en.srt
- 1.53 KB
2. What Are XAI and IML
007. Trends in AI making the XAI problem mo.mp4
- 18.34 MB
004. Understanding the what and why your mo.mp4
- 16.44 MB
006. Comparing IML and XAI.mp4
- 10.46 MB
005. Variable importance and reason codes.mp4
- 9.23 MB
009. XAI for debugging models.mp4
- 6.98 MB
010. KNIME support of global and local expl.mp4
- 5.37 MB
008. Local and global explanations.mp4
- 5.3 MB
007. Trends in AI making the XAI problem mo.en.srt
- 8.02 KB
004. Understanding the what and why your mo.en.srt
- 6.55 KB
006. Comparing IML and XAI.en.srt
- 6.42 KB
008. Local and global explanations.en.srt
- 3.51 KB
009. XAI for debugging models.en.srt
- 3.42 KB
010. KNIME support of global and local expl.en.srt
- 3.38 KB
005. Variable importance and reason codes.en.srt
- 3.32 KB
5. Introduction to KNIME for XAI and IML
019. Building models in KN.mp4
- 14.58 MB
018. Introducing KNIME.mp4
- 14.53 MB
021. Where to find availab.mp4
- 12.13 MB
020. Understanding looping.mp4
- 9.8 MB
019. Building models in KN.en.srt
- 8.1 KB
018. Introducing KNIME.en.srt
- 5.54 KB
020. Understanding looping.en.srt
- 4.28 KB
021. Where to find availab.en.srt
- 3.59 KB
8. IML Techniques
033. General advice for better IML.mp4
- 14.57 MB
035. CORELS and recent trends.mp4
- 11.47 MB
034. Why feature engineering is critical for IML.mp4
- 9.18 MB
035. CORELS and recent trends.en.srt
- 7.51 KB
033. General advice for better IML.en.srt
- 6.82 KB
034. Why feature engineering is critical for IML.en.srt
- 3.3 KB
7. Techniques for Local Explanations
032. XAI View node demonstrati.mp4
- 13.77 MB
031. KNIME's Local Explanation.mp4
- 11.64 MB
027. Developing an intuition f.mp4
- 9.99 MB
030. What are counterfactuals.mp4
- 5.7 MB
029. Using LIME to provide loc.mp4
- 5.2 MB
028. Introducing SHAP.mp4
- 3.6 MB
032. XAI View node demonstrati.en.srt
- 9.93 KB
027. Developing an intuition f.en.srt
- 6.78 KB
031. KNIME's Local Explanation.en.srt
- 5.96 KB
030. What are counterfactuals.en.srt
- 3.81 KB
029. Using LIME to provide loc.en.srt
- 3.06 KB
028. Introducing SHAP.en.srt
- 2.7 KB
4. Black Box Model 101
016. What is the accuracy interpretability t.mp4
- 10.58 MB
015. Why do we have black box models.mp4
- 9.65 MB
014. What qualifies as a black box.mp4
- 7.77 MB
017. The argument against XAI.mp4
- 7.1 MB
015. Why do we have black box models.en.srt
- 6.55 KB
016. What is the accuracy interpretability t.en.srt
- 6.28 KB
017. The argument against XAI.en.srt
- 4.48 KB
014. What qualifies as a black box.en.srt
- 4.25 KB
1. Introduction
001. Exploring the world of explainable AI and inte.mp4
- 4.97 MB
002. Target audience.mp4
- 3.02 MB
003. What you should know.mp4
- 2.31 MB
002. Target audience.en.srt
- 2.03 KB
003. What you should know.en.srt
- 1.51 KB
001. Exploring the world of explainable AI and inte.en.srt
- 1.47 KB
9. Conclusion
036. Continuing to explore XAI.mp4
- 3.21 MB
036. Continuing to explore XAI.en.srt
- 2.19 KB
Ex_Files_ML_and_AI_Foundations_Explainable_Interpretable
Exercise Files
05_01
05_01_XAI_PDP.knar.knwf
- 2.06 MB
05_03
05_03_XAI_Surrogates.knar.knwf
- 2 MB
02_01
auto-mpg_hp_tons.xlsx
- 40.84 KB
Bonus Resources.txt
- 386 B
Get Bonus Downloads Here.url
- 180 B
Trackers
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Leechers
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udp://tracker.torrent.eu.org:451/announce
5
1
105
udp://www.torrent.eu.org:451/announce
5
1
105
udp://tracker.opentrackr.org:1337/announce
3
1
130
udp://open.stealth.si:80/announce
2
1
1
udp://exodus.desync.com:6969/announce
3
1
87
InfoHash:
318D5D460F1814B3969CDE7E7681D8787EFEA883
Last updated:
Mar 11, 2022
File count:
77 B
File Category:
1
Tags:
courseboat, linkedin, machine, learning, foundations, producing, explainable, interpretable, solutions
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