Learn · ACM Summer School In Data Science,2018 - Goa
Lecture 11 of 73ACM Summer School on Data Sciences (Goa 2018)
Introduction to probability for Data science part 2
IIT Madras
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- ACM Summer School In Data Science,2018 - Goa, IIT Madras (at NPTEL)
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- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures
- Probability part 1
- Probability part 2
- Probability part 3
- Math Foundation part 1
- Math Foundation part 2
- Math Foundation part 3
- Math Foundation 2 part 1
- Math Foundation 2 part 2
- Math Foundation 2 part 3
- Introduction to probability for Data science part 1
- Introduction to probability for Data science part 2
- Introduction to probability for Data science part 3
- Introduction to Statistics for Data science part 1
- Introduction to Statistics for Data science part 2
- Introduction to Statistics for Data science part 3
- Clustering - I part 1
- Clustering - I part 2
- Clustering - I part 3
- Clustering - II part 1
- Clustering - II part 2
- Clustering - II part 3
- Dimensionality Reduction part 1
- Dimensionality Reduction part 2
- Dimensionality Reduction part 3
- Supervised Learning - I part1
- Supervised Learning - I part 2
- Supervised Learning - I part 3
- Supervised Learning - II part 1
- Supervised Learning - II part 2
- Supervised Learning - II part 3
- Supervised Learning - II part 3
- Supervised Learning - III part 1
- Supervised Learning - III part 3
- Linear Models For Classification part 1
- Linear Models For Classification part 2
- Linear Models For Classification part 3
- Tree Based Methods part 1
- Tree Based Methods part 2
- SVMs part 1
- SVMs part 2
- SVMs part 3
- Ensemble Methods part 1
- Ensemble Methods part 2
- Ensemble Methods part 2
- Learning Theory part 1
- Learning Theory part 2
- Introduction to Probabilistic Modeling part 1
- Introduction to Probabilistic Modeling part 2
- Introduction to Probabilistic Modeling part 3
- Probabilistic / Bayesian Models for Regression part 1
- Probabilistic / Bayesian Models for Regression part 2
- Probabilistic / Bayesian Models for Regression part 3
- Probabilistic Classification, Latent Variable Models part 1
- Probabilistic Classification, Latent Variable Models part 2
- Probabilistic Classification, Latent Variable Models part 3
- Deep Learning - I part 1
- Deep Learning - I part 2
- Deep Learning - I part 3
- Deep Learning - II part 1
- Deep Learning - II part 2
- Deep Learning - II part 3
- Deep Learning - III part 1
- Deep Learning - III part 2
- Deep Learning - III part 3
- Reinforcement learning - I part 1
- Reinforcement learning - I part 2
- Reinforcement learning - II part 1
- Reinforcement learning - II part 2
- Map - Reduce and Spark par 2
- Map - Reduce and Spark par 1
- Map - Reduce and Spark par 3
- Scalable Machine Learning part 1
- Scalable Machine Learning part 2