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Vincent Granville's Blog (1,016)

Thursday News: Tensorflow, Books, Deep Learning, NLP, Machine Learning, Chatbots

Here is our Thanksgiving selection of featured articles and resources:

Technical

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Added by Vincent Granville on November 23, 2017 at 9:16am — No Comments

Best DSC Forum Questions - Part 4

This is a new series, featuring forum questions (new and old) that are still popular today. These questions were selected manually based on popularity, removing outdated material. The entire series consists of about 160 questions -- most with answers, sometimes several answers. We intend to publish a new set every two weeks or so. The previous edition was posted …

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Added by Vincent Granville on November 22, 2017 at 12:30pm — No Comments

J.P. Morgan's Comprehensive Guide on Machine Learning

At 280 pages, the report is too long to cover in detail, but we’ve pulled out the most salient points for you below.

Main Points

  • Banks will need to hire excellent data scientists who also understand how markets work
  • Machines are best…
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Added by Vincent Granville on November 21, 2017 at 8:38pm — No Comments

An Economic Perspective on Fraud Analytics: Calculating ROI of Fraud Detection Systems

By Bart Baesens, Véronique Van Vlasselaer and Wouter Verbeke

The importance and need for effective fraud detection and prevention systems is highlighted by some recent numbers which give an indication of the estimated size and the financial impact of fraud:

  • A typical organization loses 5% of its revenues to fraud each year (www.acfe.com)
  • The total cost of insurance fraud…
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Added by Vincent Granville on November 21, 2017 at 4:00pm — No Comments

Book: A Guide to Data Science for Fraud Detection

Detect fraud earlier to mitigate loss and prevent cascading damage

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these…

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Added by Vincent Granville on November 21, 2017 at 3:00pm — No Comments

What Will Shape the Future of Machine Learning in 2018?

Guest blog post by Chirag Tumar.

Any new technology is not successful until it is embraced and used to its potential. Machine learning is no exception to this rule and its success or to say its ability can be gauged by the trends that exist. Machine learning is already a hot technology at the moments and it seems to have a promising future. At present, it…

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Added by Vincent Granville on November 20, 2017 at 12:48pm — 1 Comment

High Precision Computing: Benchmark, Examples, and Tutorial

In some applications, using the standard precision in your programming language of choice, may not be enough, and can lead to disastrous errors. In some cases, you work with a library that is supposed to provide very high precision, when in fact the library in question does not work as advertised. In some cases, lack of precision results in obvious problems that are easy to spot, and in some cases, everything seems to be working fine and you are not aware that your simulations are completely…

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Added by Vincent Granville on November 18, 2017 at 10:00pm — 1 Comment

Weekly Digest, November 20

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcement

  • Use data to drive the future of business—and your career through…
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Added by Vincent Granville on November 18, 2017 at 7:30am — No Comments

Programming Languages for Data Science and ML - With Source Code Illustrations

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and…

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Added by Vincent Granville on November 16, 2017 at 2:36pm — No Comments

Thursday News: AI, Chatbots, High Precision Computing, Classification, Biometrics

Here is our selection of featured articles and resources posted since Monday:

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Added by Vincent Granville on November 16, 2017 at 10:08am — No Comments

Data Driven Leader by Jenny Dearborn, CLO and SVP at SAP

Jenny Dearborn is the Chief Learning Officer and Senior Vice President at SAP. As global Chief Learning Officer for the 67,000 employees at SAP, Jenny leads an internationally-acclaimed and award-winning team recognized as the #1 performing corporate learning department in the world by eLearning Magazine.

Jenny is a recognized thought leader in human capital management and general business, and is a regular contributor to Forbes, Wall Street Journal, The…

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Added by Vincent Granville on November 14, 2017 at 9:41am — No Comments

Best DSC Forum Questions - Part 3

This is a new series, featuring forum questions (new and old) that are still popular today. These questions were selected manually based on popularity, removing outdated material. The entire series consists of about 160 questions -- most with answers, sometimes several answers. We intend to publish a new set every two weeks or so. The previous edition was posted …

Continue

Added by Vincent Granville on November 14, 2017 at 9:00am — No Comments

Weekly Digest, November 13

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcement

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Added by Vincent Granville on November 11, 2017 at 2:30pm — No Comments

Thursday News: New ML Competition, AI, Chatbots, Mathematical Chaos, P-Values

Here is our list of resources and articles featured since Monday:

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Added by Vincent Granville on November 9, 2017 at 9:47am — No Comments

DSC Competition for Data Science and Quant Pros - $2,000 Award

Description of Contest

Data Science Central (DSC) is excited to announce our competition to solve a new, interesting problem in statistical science, pertaining to stochastic processes. DSC members are invited and encouraged, to submit a theoretical solution or an application to real life problems, including but not limited to fintech, operations research, statistical science, computer science, economics, engineering, social, actuarial, biological or physical…

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Added by Vincent Granville on November 8, 2017 at 10:00am — No Comments

Fascinating Chaotic Sequences with Cool Applications

Here we describe well-known chaotic sequences, including new generalizations, with application to random number generation, highly non-linear auto-regressive models for times series, simulation, random permutations, and the use of big numbers (libraries available in programming languages to work with numbers with hundreds of decimals) as standard computer precision almost always produces completely erroneous results after a few iterations  -- a fact rarely if ever mentioned in the scientific…

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Added by Vincent Granville on November 6, 2017 at 12:00pm — 7 Comments

Weekly Digest, November 6

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcements - U.S. Soccer

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Added by Vincent Granville on November 5, 2017 at 10:00am — No Comments

Thursday News: AI, NLP, Time Series, Quantum Computing, K-NN, Data Lakes

This is our selection of featured articles and resources posted since Monday. There were many great contributions from leading practitioners this week:

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Added by Vincent Granville on November 2, 2017 at 8:21am — No Comments

13 Great Articles About K-Nearest-Neighbors And Related Algorithms

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and…

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Added by Vincent Granville on October 31, 2017 at 11:30am — No Comments

Logistic Map, Chaos, Randomness and Quantum Algorithms

To read my most recent article about chaotic systems, click here

The logistic map is the most basic recurrence formula exhibiting various levels of chaos depending on its parameter. It has been used in population demographics to model chaotic behavior. Here we explore this model in the context of randomness simulation, and revisit a bizarre…

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Added by Vincent Granville on October 29, 2017 at 8:00pm — 3 Comments

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