Linkedin - Machine Learning and AI Foundations - Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions

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Linkedin - Machine Learning and AI Foundations - Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions

Torrent Contents Size: 360.5 MB

Linkedin - Machine Learning and AI Foundations - Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
▼ show more 62 files
001. Exploring the world of explainable AI and inte.en.srt
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001. Exploring the world of explainable AI and inte.mp4
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002. Target audience.en.srt
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002. Target audience.mp4
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003. What you should know.en.srt
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003. What you should know.mp4
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004. Understanding the what and why your mo.en.srt
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004. Understanding the what and why your mo.mp4
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16.4 MB
005. Variable importance and reason codes.en.srt
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005. Variable importance and reason codes.mp4
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006. Comparing IML and XAI.en.srt
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006. Comparing IML and XAI.mp4
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007. Trends in AI making the XAI problem mo.en.srt
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007. Trends in AI making the XAI problem mo.mp4
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008. Local and global explanations.en.srt
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008. Local and global explanations.mp4
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009. XAI for debugging models.en.srt
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009. XAI for debugging models.mp4
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010. KNIME support of global and local expl.en.srt
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010. KNIME support of global and local expl.mp4
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011. Challe.en.srt
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011. Challe.mp4
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012. Challe.en.srt
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012. Challe.mp4
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013. Rashom.en.srt
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013. Rashom.mp4
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014. What qualifies as a black box.en.srt
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014. What qualifies as a black box.mp4
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015. Why do we have black box models.en.srt
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015. Why do we have black box models.mp4
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016. What is the accuracy interpretability t.en.srt
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016. What is the accuracy interpretability t.mp4
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017. The argument against XAI.en.srt
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017. The argument against XAI.mp4
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018. Introducing KNIME.en.srt
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018. Introducing KNIME.mp4
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019. Building models in KN.en.srt
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019. Building models in KN.mp4
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020. Understanding looping.en.srt
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020. Understanding looping.mp4
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021. Where to find availab.en.srt
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021. Where to find availab.mp4
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022. Providing global explana.en.srt
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022. Providing global explana.mp4
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023. Using surrogate models f.en.srt
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023. Using surrogate models f.mp4
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024. Developing and interpret.en.srt
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024. Developing and interpret.mp4
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025. Permutation feature impo.en.srt
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025. Permutation feature impo.mp4
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026. Global feature importanc.en.srt
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026. Global feature importanc.mp4
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027. Developing an intuition f.en.srt
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027. Developing an intuition f.mp4
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028. Introducing SHAP.en.srt
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028. Introducing SHAP.mp4
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029. Using LIME to provide loc.en.srt
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029. Using LIME to provide loc.mp4
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030. What are counterfactuals.en.srt
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030. What are counterfactuals.mp4
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031. KNIME's Local Explanation.en.srt
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031. KNIME's Local Explanation.mp4
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032. XAI View node demonstrati.en.srt
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032. XAI View node demonstrati.mp4
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033. General advice for better IML.en.srt
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033. General advice for better IML.mp4
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034. Why feature engineering is critical for IML.en.srt
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034. Why feature engineering is critical for IML.mp4
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035. CORELS and recent trends.en.srt
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035. CORELS and recent trends.mp4
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036. Continuing to explore XAI.en.srt
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036. Continuing to explore XAI.mp4
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05_01_XAI_PDP.knar.knwf
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2.1 MB
05_03_XAI_Surrogates.knar.knwf
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2 MB
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B
auto-mpg_hp_tons.xlsx
XLSX
40.8 KB

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