Intro Map Reduce
- Until now all we have learned so far is somewhat small or managable data.(GB data)
Advice, Recap & Conclusion
Rishiraj's advice:
- Know the right tools, learn from various course (mooc,university)
Visualizing Time Series Data
For specific colors:
- Here we are discussing boston winning percentage over the years
Data Types and Scales
- We have seen earlier discussion about numeric being one of data types
Introducing Don and Rishiraj, advice on Communicate Findings
- Human brains created to like some kind of story
Collaborative filtering algorithm
- last video, how collaborative filtering first, given features, predict users rating. Then given, parameters of users get features for movies
Collaborative filtering
will learn what features to use
- sometimes the Recommender Systems face the product that are unrated. For the movie rating examples, sometimes there are movies that never rated by users, and Recommender Systems doesn't know how much the movie rated.
Intro to Data Visualization
- Communicate the findings to people.
Conclusion, other advice, assignment and Recap
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In the case of this, try to split into training and test set and cros-validate to avoid over/underfitting
