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Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
|
| 001. Getting started.en.srt |
2.29KB |
| 001. Getting started.mp4 |
13.80MB |
| 002. Supply and demand for data science.en.srt |
6.43KB |
| 002. Supply and demand for data science.mp4 |
39.12MB |
| 003. The data science Venn diagram.en.srt |
7.54KB |
| 003. The data science Venn diagram.mp4 |
39.30MB |
| 004. The data science pathway.en.srt |
8.88KB |
| 004. The data science pathway.mp4 |
58.40MB |
| 005. The CRISP-DM model in data science.en.srt |
6.04KB |
| 005. The CRISP-DM model in data science.mp4 |
35.20MB |
| 006. Roles and teams in data science.en.srt |
7.73KB |
| 006. Roles and teams in data science.mp4 |
38.73MB |
| 007. The role of questions in data science.en.srt |
7.52KB |
| 007. The role of questions in data science.mp4 |
42.13MB |
| 008. Artificial intelligence.en.srt |
13.42KB |
| 008. Artificial intelligence.mp4 |
73.01MB |
| 009. Machine learning.en.srt |
13.10KB |
| 009. Machine learning.mp4 |
96.85MB |
| 010. Deep learning neural networks.en.srt |
13.40KB |
| 010. Deep learning neural networks.mp4 |
72.46MB |
| 011. Big data.en.srt |
9.12KB |
| 011. Big data.mp4 |
49.05MB |
| 012. Predictive analytics.en.srt |
8.21KB |
| 012. Predictive analytics.mp4 |
43.03MB |
| 013. Prescriptive analytics.en.srt |
13.21KB |
| 013. Prescriptive analytics.mp4 |
66.36MB |
| 014. Business intelligence.en.srt |
6.98KB |
| 014. Business intelligence.mp4 |
40.38MB |
| 015. Bias.en.srt |
10.58KB |
| 015. Bias.mp4 |
57.39MB |
| 016. Security.en.srt |
8.81KB |
| 016. Security.mp4 |
47.85MB |
| 017. Legal.en.srt |
10.69KB |
| 017. Legal.mp4 |
58.60MB |
| 018. Explainable AI.en.srt |
16.10KB |
| 018. Explainable AI.mp4 |
86.49MB |
| 019. Agency of algorithms and decision-makers.en.srt |
8.57KB |
| 019. Agency of algorithms and decision-makers.mp4 |
42.23MB |
| 020. Data preparation.en.srt |
8.70KB |
| 020. Data preparation.mp4 |
47.63MB |
| 021. Labeling data.en.srt |
17.07KB |
| 021. Labeling data.mp4 |
76.36MB |
| 022. In-house data.en.srt |
9.90KB |
| 022. In-house data.mp4 |
49.30MB |
| 023. Open data.en.srt |
7.04KB |
| 023. Open data.mp4 |
37.31MB |
| 024. APIs.en.srt |
4.44KB |
| 024. APIs.mp4 |
23.66MB |
| 025. Scraping data.en.srt |
8.08KB |
| 025. Scraping data.mp4 |
57.03MB |
| 026. Creating data.en.srt |
9.66KB |
| 026. Creating data.mp4 |
49.07MB |
| 027. Passive collection of training data.en.srt |
6.80KB |
| 027. Passive collection of training data.mp4 |
34.59MB |
| 028. Self-generated data.en.srt |
5.48KB |
| 028. Self-generated data.mp4 |
42.31MB |
| 029. Data vendors.en.srt |
9.13KB |
| 029. Data vendors.mp4 |
48.23MB |
| 030. Data ethics.en.srt |
8.66KB |
| 030. Data ethics.mp4 |
45.58MB |
| 031. The enumeration of explicit rules.en.srt |
6.63KB |
| 031. The enumeration of explicit rules.mp4 |
35.63MB |
| 032. The derivation of rules from data analysis.en.srt |
7.19KB |
| 032. The derivation of rules from data analysis.mp4 |
53.62MB |
| 033. The generation of implicit rules.en.srt |
5.83KB |
| 033. The generation of implicit rules.mp4 |
31.23MB |
| 034. Applications for data analysis.en.srt |
7.47KB |
| 034. Applications for data analysis.mp4 |
42.72MB |
| 035. Languages for data science.en.srt |
5.98KB |
| 035. Languages for data science.mp4 |
34.41MB |
| 036. AutoML.en.srt |
6.79KB |
| 036. AutoML.mp4 |
37.52MB |
| 037. Machine learning as a service.en.srt |
5.63KB |
| 037. Machine learning as a service.mp4 |
29.26MB |
| 038. Sampling and probability.en.srt |
7.94KB |
| 038. Sampling and probability.mp4 |
47.25MB |
| 039. Algebra.en.srt |
12.73KB |
| 039. Algebra.mp4 |
64.15MB |
| 040. Calculus.en.srt |
7.69KB |
| 040. Calculus.mp4 |
44.25MB |
| 041. Optimization and the combinatorial explosion.en.srt |
10.97KB |
| 041. Optimization and the combinatorial explosion.mp4 |
53.55MB |
| 042. Bayes' theorem.en.srt |
7.21KB |
| 042. Bayes' theorem.mp4 |
38.73MB |
| 043. Supervised vs. unsupervised learning.en.srt |
5.86KB |
| 043. Supervised vs. unsupervised learning.mp4 |
31.77MB |
| 044. Descriptive analyses.en.srt |
11.90KB |
| 044. Descriptive analyses.mp4 |
57.76MB |
| 045. Clustering.en.srt |
10.43KB |
| 045. Clustering.mp4 |
50.29MB |
| 046. Dimensionality reduction.en.srt |
9.46KB |
| 046. Dimensionality reduction.mp4 |
49.36MB |
| 047. Anomaly detection.en.srt |
8.81KB |
| 047. Anomaly detection.mp4 |
43.81MB |
| 048. Supervised learning with predictive models.en.srt |
13.11KB |
| 048. Supervised learning with predictive models.mp4 |
65.18MB |
| 049. Time-series data.en.srt |
15.41KB |
| 049. Time-series data.mp4 |
80.54MB |
| 050. Classifying.en.srt |
9.89KB |
| 050. Classifying.mp4 |
48.69MB |
| 051. Feature selection and creation.en.srt |
10.39KB |
| 051. Feature selection and creation.mp4 |
50.94MB |
| 052. Aggregating models.en.srt |
14.10KB |
| 052. Aggregating models.mp4 |
74.43MB |
| 053. Validating models.en.srt |
9.29KB |
| 053. Validating models.mp4 |
50.52MB |
| 054. Generative adversarial networks (GANs).en.srt |
8.84KB |
| 054. Generative adversarial networks (GANs).mp4 |
51.09MB |
| 055. Reinforcement learning.en.srt |
10.28KB |
| 055. Reinforcement learning.mp4 |
52.80MB |
| 056. The importance of interpretability.en.srt |
5.60KB |
| 056. The importance of interpretability.mp4 |
28.90MB |
| 057. Interpretable methods.en.srt |
8.37KB |
| 057. Interpretable methods.mp4 |
44.23MB |
| 058. Actionable insights.en.srt |
4.76KB |
| 058. Actionable insights.mp4 |
25.48MB |
| 059. Next steps and additional resources.en.srt |
4.41KB |
| 059. Next steps and additional resources.mp4 |
24.63MB |
| Bonus Resources.txt |
386B |
| Get Bonus Downloads Here.url |
178B |