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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 1,
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 1,
Define fitting the graph holdout ...,
Define the sweet spot for a typic...
41  cards
Topic 5: Machine Learning: Classification & Clustering
Calculate the euclidean distance 1,
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 1,
Describe the roc graph 2,
Describe the roc graph 3
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

More about
Financial Data Professional (FDP Q2'22)

  • Class purpose General learning

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