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Financial Data Professional (FDP Q2'22)

This class was created by Brainscape user Haiko Aragon. Visit their profile to learn more about the creator.

By: Haiko Aragon
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Decks in this class (10)

Topic 1: Introduction to Data Science & Alternative Data
What gave rise to the realm of da...,
Why is data mining used for custo...,
Type i and type ii data driven de...
36  cards
Topic 2: Machine Learning: Introduction to Algorithms
Explain why we estimate a functio...,
What is the role of error terms r...,
Difference between prediction and...
50  cards
Topic 3: Machine Learning: Regression, Support Vector Machine & Time Series Models
Define information,
Define prediction in the context ...,
Compare and contrast predictive m...
84  cards
Topic 4: Machine Learning: Regularization, Regression Trees, Random Forest & Overfitting
Define generalization overfitting,
Define fitting the graph holdout ...,
Define the sweet spot for a typic...
41  cards
Topic 5: Machine Learning: Classification & Clustering
Calculate the euclidean distance,
Define nearest neighbors and comb...,
Explain how combining functions c...
33  cards
Topic 6: Machine Learning: Performance Evaluation, Backtesting & False Discoveries
Describe a ranking classifier,
Define a profit curve,
Calculate points on a roc graph u...
17  cards
Topic 7: Data Mining & Machine Learning: Naïve Bayes & Text Mining
0  cards
Topic 8: Big Data & Machine Learning: Ethical & Privacy Issues
Discuss the potential big data fo...,
Explain how the new term data tru...,
List five methods of protecting h...
35  cards
Topic 9.1 - 9.5: Big Data & Machine Learning in the Financial Industry
Identify factors that may contrib...,
Explain why unexpected forms of i...,
Explain why new forms of macro le...
72  cards
Topic 9.6 - 9.12: Big Data & Machine Learning in the Financial Industry
Define alternative data and list ...,
List the most commonly used types...,
Explain why the alternative data ...
10  cards

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Financial Data Professional (FDP Q2'22)

  • Class purpose General learning

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