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November 2017 Blog Posts (84)

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 These questions were selected manually based on popularity, removing outdated material.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 equipped to make trading decisions in the short and medium…
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Added by Vincent Granville on November 21, 2017 at 8:38pm — No Comments

The Basic Stuff of Machine Learning

By now anyone who reads virtually any trade magazine has been hearing incessantly about how machine learning is going to transform their industry in profound ways. Marketers will be able to read potential customers’ minds, farms will produce unprecedented yields, doctors will be able to stem diseases before they begin to form. And of course, we’ve all heard how machine learning will eventually take our jobs. It may very well be said of machine learning that there never have…

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Added by Michael Burke on November 21, 2017 at 4:30pm — 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 — 1 Comment

Decoding Machine Learning Methods

Machine Learning, thinking systems, expert systems, knowledge engineering, decision systems, neural networks - all synonymous loosely woven words in the evolving fabric of Artificial Intelligence. Of these Machine Learning (ML) and Artificial Intelligence (AI) are often debated and used interchangeably. broadly speaking AI can be termed as a futuristic state of self aware smart learning machines in true sense, but for all practical purposes we deal more often with ML at present.

In…

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Added by Sreenivasa etla on November 21, 2017 at 12:00am — 2 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

Deep Learning And The Information Bottleneck

This article was written by Ray of RayOnStorage Blog. Original title: Compressing information through the information bottleneck during deep learning.…

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Added by Amelia Matteson on November 20, 2017 at 11:00am — No Comments

Chatbot Best Practices - Making Sure Your Bot Plays Well With Users

Summary:  This is the third in our series on chatbots.  In this installment we’ll look at the best practice dos and don’ts as described by a number of successful chatbot developers.

 

In our first article we covered the chatbot basics…

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Added by William Vorhies on November 20, 2017 at 9:30am — 1 Comment

Achieving Analytics Sophistications

 

In today’s world, a successful organization has to achieve data and analytics competencies to stay…

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Added by Khosrow Hassibi on November 20, 2017 at 8:30am — No Comments

Data Science Best Practices

 

Contents

1. Introduction

2. The Four Pillars of Success        in Analytics

3. Analytics…

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Added by Khosrow Hassibi on November 20, 2017 at 8:30am — No Comments

The role of Analytics in Digital Transformation

Today every industry is talking about Digital Transformation and affected by technologies like the Internet of Things, Blockchain, Microservices and Cloud. Every company like Apple, Nike, and Nestle, better known for their brand products have now become Technology Company. However, for every technology the powerhouse behind the success is…

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Added by Sandeep Raut on November 19, 2017 at 2:30am — No Comments

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

CNN for Short-Term Stocks Prediction using Tensorflow

Summary

In machine learning, a convolutional neural network (CNN, or ConvNet) is a class of neural networks that has successfully been applied to image recognition and analysis. In this project I've approached this class of models trying to apply it to stock market prediction, combining stock prices with sentiment analysis. The implementation of the network has been made…

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Added by Mattia Brusamento on November 18, 2017 at 8:30am — 5 Comments

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

Using Data Analytics to Prevent, Not Just Report

I recently had another client conversation about optimizing their data warehouse and Business Intelligence (BI) environment. The client had lots of pride in their existing data warehouse and business intelligence accomplishments, and rightfully so. The heart of the conversation was about taking costs out of their reporting environments by consolidating runaway data marts and “spreadmarts,” and improving business analyst BI…

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Added by Bill Schmarzo on November 18, 2017 at 7:00am — No Comments

AI and the future of healthcare

Artificial Intelligence on the Horizon

The Future of Healthcare

(Second in a Series)

Discussed much more thoroughly in the…

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Added by Mahesh Varavooru on November 17, 2017 at 11:00am — 1 Comment

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

Python libraries for Aspiring Data Scientist

Python has a unique combination of being both a capable general-purpose programming language as well as being easy to use for analytical and quantitative computing.

Python, along with R, is one of the handiest tools in a data scientist’s arsenal. It’s also one of the simplest computer languages to learn and use, primarily because most concepts can be expressed in fewer lines of code in Python, than in other languages.

Hence, beginners venturing out into the field of data…

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Added by Yatindra Sahu on November 15, 2017 at 10:00pm — No Comments

Inside the black box

Introduction

This post is designed show the internal changes of an Artificial Neural Network (ANN/NN), it shows the outputs of the neurons from the beginning of a Backpropagation algorithm to convergence.

The hope is for a better understanding of why we use a second hidden layer, local minimums, to how many internal nodes are required and their impact on the final solution.

The Dataset…

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Added by Sierra Oscar on November 15, 2017 at 9:33pm — No Comments

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