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All Blog Posts Tagged 'Decision' (10)

The Recommender Canvas: Everything You Wanted To Know About Recommender System Design & Its Necessity Today

The internet is evolving day by day, and when users shop online, they are flooded with thousands of results, leaving them in a dilemma to choose the best possible product that suits their requirements. Have you ever thought of how Google Ads precisely knew what you need and display…

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Added by Guido van Capelleveen on June 13, 2019 at 2:44am — No Comments

The Complete Guide to Decision Trees

Everything you need to know about a top algorithm in Machine Learning

In the…

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Added by Diego Lopez Yse on April 30, 2019 at 2:00pm — 3 Comments

Machine Learning Techniques based paper one of the two Risk Quant Europe 2018 Call for Paper Winners

Each year, Risk Quant Europe Conference, a conference well-attended by practitioners from banking, asset management, insurers as well as academics from Europe, selects two papers to present in their annual conference.

For 2018, our paper is lucky to be one of the two winning papers selected by the Advisory Board for the conference to be held in London. Please feel free to check out our paper titled CDS Rate Construction Methods by Machine Learning…

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Added by Zhongmin Luo on February 24, 2018 at 2:00am — No Comments

A Guide for Applying Machine Learning Techniques in Finance

Does it sound familiar to you? In order to get an idea of how to choose a parameter for a given classifier, you have to cross reference to a number of papers or books, which often turn out to present competing arguments for or against a certain parameterization choice but with few applications to real-world problems.

For example, you may find a few papers discussing optimal selection of K in…

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Added by Zhongmin Luo on June 5, 2017 at 7:30pm — 6 Comments

Choice of K in K-fold Cross Validation for Classification in Financial Market

Cross Validation is often used as a tool for model selection across classifiers. As discussed in detail in the following paper https://ssrn.com/abstract=2967184, Cross Validation is typically performed in the following steps:

  • Step 1: Divide the original sample into K sub samples; each subsample typically has equal sample size and is referred to as one fold, altogether,…
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Added by Zhongmin Luo on June 2, 2017 at 7:00pm — No Comments

Parameter Selection in Classification for Financial Market

In practice, we often have to make parameterization choices for a given classifier in order to achieve optimal classification performances; just to name a few examples:

  • Neural Network: e.g., the optimal choice of Activation Functions, # of hidden units
  • Support Vector Machine: e.g., the optimal choice of Kernel Functions
  • Ensemble: e.g., the number of Learning Cycles for Bagging.
  • Discriminant Analysis: e.g., Linear/Quadratic; regularization…
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Added by Zhongmin Luo on May 29, 2017 at 12:49am — No Comments

Apply Machine Learning Techniques to Problems in Financial Market

Past literature show that the comparisons of classifier's performance are specific to the types of datasets (e.g., Pharmaceutical industry data) used; i.e., some classifiers may perform better in some context than others. A paper titled CDS Rate Construction Methods by Machine Learning Techniques conducts the performance comparison exclusively in the context of financial market by applying a wide range of classifiers to provide solution to so-called Shortage of…

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Added by Zhongmin Luo on May 23, 2017 at 1:30am — No Comments

Markov Logic Networks for Better Decisions

One important goal of data science is to help decision makers make better decisions. Markov…

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Added by Michael Walker on January 15, 2014 at 12:24pm — 1 Comment

3 min Healthcare Big Data Video

We have tried to synthesize the most disruptive big data use cases into a compact . 3 Minute video

at https://www.youtube.com/watch?v=UWPUxLr-u9k

 

It covers 6 use cases , 4 healthcare data streams and hopefully sets the stage for curating more use cases in an area which truly needs a lot of healthy transformations !!!

Added by derick.jose on June 5, 2013 at 10:20am — No Comments

The Fallacy of the Data Scientist Shortage

There is no question that the USA (in fact, most of the world) would be well-served with more quantitatively capable people to work in business and government. However, the current hysteria over the shortage of data scientists is overblown. To illustrate why, I am going to use an example from air travel.

On a recent trip from Santa Fe, NM to Phoenix, AZ, I tracked the various times:

 

Duration…

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Added by Neil Raden on June 27, 2012 at 10:00am — No Comments

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