Linkedin - Data Science Foundations - Fundamentals (2022)

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Linkedin - Data Science Foundations - Fundamentals (2022)

Torrent Contents Size: 2.8 GB

Linkedin - Data Science Foundations - Fundamentals (2022)
▼ show more 105 files
001. Getting started.en.srt
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2.3 KB
001. Getting started.mp4
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13.8 MB
002. Supply and demand for data science.en.srt
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6.4 KB
002. Supply and demand for data science.mp4
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39.1 MB
003. The data science Venn diagram.en.srt
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7.5 KB
003. The data science Venn diagram.mp4
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39.3 MB
004. The data science pathway.en.srt
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8.9 KB
004. The data science pathway.mp4
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58.4 MB
005. The CRISP-DM model in data science.en.srt
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005. The CRISP-DM model in data science.mp4
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35.2 MB
006. Roles and teams in data science.en.srt
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006. Roles and teams in data science.mp4
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38.7 MB
007. The role of questions in data science.en.srt
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7.5 KB
007. The role of questions in data science.mp4
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42.1 MB
008. Artificial intelligence.en.srt
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13.4 KB
008. Artificial intelligence.mp4
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73 MB
009. Machine learning.en.srt
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13.1 KB
009. Machine learning.mp4
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96.8 MB
010. Deep learning neural networks.en.srt
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13.4 KB
010. Deep learning neural networks.mp4
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72.5 MB
011. Big data.en.srt
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011. Big data.mp4
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49 MB
012. Predictive analytics.en.srt
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8.2 KB
012. Predictive analytics.mp4
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43 MB
013. Prescriptive analytics.en.srt
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13.2 KB
013. Prescriptive analytics.mp4
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66.4 MB
014. Business intelligence.en.srt
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7 KB
014. Business intelligence.mp4
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40.4 MB
015. Bias.en.srt
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10.6 KB
015. Bias.mp4
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57.4 MB
016. Security.en.srt
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8.8 KB
016. Security.mp4
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47.8 MB
017. Legal.en.srt
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017. Legal.mp4
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58.6 MB
018. Explainable AI.en.srt
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018. Explainable AI.mp4
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86.5 MB
019. Agency of algorithms and decision-makers.en.srt
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8.6 KB
019. Agency of algorithms and decision-makers.mp4
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42.2 MB
020. Data preparation.en.srt
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8.7 KB
020. Data preparation.mp4
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47.6 MB
021. Labeling data.en.srt
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17.1 KB
021. Labeling data.mp4
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76.4 MB
022. In-house data.en.srt
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9.9 KB
022. In-house data.mp4
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49.3 MB
023. Open data.en.srt
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7 KB
023. Open data.mp4
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37.3 MB
024. APIs.en.srt
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4.4 KB
024. APIs.mp4
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23.7 MB
025. Scraping data.en.srt
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8.1 KB
025. Scraping data.mp4
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57 MB
026. Creating data.en.srt
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9.7 KB
026. Creating data.mp4
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49.1 MB
027. Passive collection of training data.en.srt
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6.8 KB
027. Passive collection of training data.mp4
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34.6 MB
028. Self-generated data.en.srt
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5.5 KB
028. Self-generated data.mp4
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42.3 MB
029. Data vendors.en.srt
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9.1 KB
029. Data vendors.mp4
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48.2 MB
030. Data ethics.en.srt
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8.7 KB
030. Data ethics.mp4
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45.6 MB
031. The enumeration of explicit rules.en.srt
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6.6 KB
031. The enumeration of explicit rules.mp4
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35.6 MB
032. The derivation of rules from data analysis.en.srt
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032. The derivation of rules from data analysis.mp4
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53.6 MB
033. The generation of implicit rules.en.srt
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033. The generation of implicit rules.mp4
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31.2 MB
034. Applications for data analysis.en.srt
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034. Applications for data analysis.mp4
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42.7 MB
035. Languages for data science.en.srt
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035. Languages for data science.mp4
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34.4 MB
036. AutoML.en.srt
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036. AutoML.mp4
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37.5 MB
037. Machine learning as a service.en.srt
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5.6 KB
037. Machine learning as a service.mp4
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29.3 MB
038. Sampling and probability.en.srt
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038. Sampling and probability.mp4
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47.3 MB
039. Algebra.en.srt
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12.7 KB
039. Algebra.mp4
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64.1 MB
040. Calculus.en.srt
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040. Calculus.mp4
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44.2 MB
041. Optimization and the combinatorial explosion.en.srt
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11 KB
041. Optimization and the combinatorial explosion.mp4
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53.6 MB
042. Bayes' theorem.en.srt
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042. Bayes' theorem.mp4
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38.7 MB
043. Supervised vs. unsupervised learning.en.srt
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043. Supervised vs. unsupervised learning.mp4
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31.8 MB
044. Descriptive analyses.en.srt
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044. Descriptive analyses.mp4
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57.8 MB
045. Clustering.en.srt
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045. Clustering.mp4
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50.3 MB
046. Dimensionality reduction.en.srt
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046. Dimensionality reduction.mp4
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49.4 MB
047. Anomaly detection.en.srt
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047. Anomaly detection.mp4
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43.8 MB
048. Supervised learning with predictive models.en.srt
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048. Supervised learning with predictive models.mp4
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65.2 MB
049. Time-series data.en.srt
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049. Time-series data.mp4
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80.5 MB
050. Classifying.en.srt
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050. Classifying.mp4
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48.7 MB
051. Feature selection and creation.en.srt
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051. Feature selection and creation.mp4
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50.9 MB
052. Aggregating models.en.srt
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052. Aggregating models.mp4
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74.4 MB
053. Validating models.en.srt
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053. Validating models.mp4
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50.5 MB
054. Generative adversarial networks (GANs).en.srt
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054. Generative adversarial networks (GANs).mp4
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51.1 MB
055. Reinforcement learning.en.srt
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055. Reinforcement learning.mp4
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52.8 MB
056. The importance of interpretability.en.srt
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056. The importance of interpretability.mp4
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28.9 MB
057. Interpretable methods.en.srt
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057. Interpretable methods.mp4
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44.2 MB
058. Actionable insights.en.srt
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058. Actionable insights.mp4
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25.5 MB
059. Next steps and additional resources.en.srt
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059. Next steps and additional resources.mp4
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24.6 MB
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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