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June 2017 Blog Posts (94)

Artificial Intelligence in Enterprise - Robo-Management Consulting is a Reality

Introduction

Much of the recent AI revolution has been focused on automation through big data and/or sensors and feedback into neural networks. The resulting applications are highly valuable to businesses and consumers. They improve quality of life by optimizing labor and resources. However, these applications fall short when it comes to handling human reasoning. Much of the rationale behind the operation of these systems are implicitly embedded in the data.…

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Added by Sing Koo on June 22, 2017 at 11:30am — No Comments

Six Great Articles About Quantum Computing and HPC

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 many more. To keep receiving these articles, …

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Added by Vincent Granville on June 21, 2017 at 8:00am — No Comments

Data Mining - What, Why, When

One of the best ways to learn about any topic is start with very fundamental questions like What, Why etc? Good old Socratic method. In this series of articles on data mining, I plan to approach this topic in a similar fashion. 

What is Data Mining?

Simply put, Data mining is the process of sifting through large data sets to identify…

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Added by Ramesh Dontha on June 21, 2017 at 7:00am — 8 Comments

GDPR – A Change in the Making



Organizations all over the EU must be aware by now that the Data Protection Act (DPA) will be changed into GDPR (General Data Protection Regulation). Some of these changes might cause some compliance issues but there’s an easy way to avoid any problems, by raising awareness. 

The more your staff and employees know about GDPR, the less chances you have, of ever violating the…

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Added by Ronald van Loon on June 20, 2017 at 7:00am — 2 Comments

Importing and Analyzing Data in Datameer

Overview

Datameer, an end-to-end big data analytics platform, is built on Apache Hadoop to perform integration, analysis, and visualization of massive volumes of both structured and unstructured data. It can be rapidly integrated with any data sources such as new and existing data sources to deliver an easy-to-use, cost-effective, and sophisticated solution for big data analytics.

It simplifies data extraction, data transformation, data loading, and…

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Added by Raghavan Madabusi on June 19, 2017 at 6:30pm — No Comments

Coding graphs for data mining in Python using Java platform

Graphs belong to the field of mathematics, graph theory. For data analysis that requires searches of particular patterns, graph-based data mining becomes an important technique. Indeed, in real life, most of the data we have to deal with can be represented as graphs. A typical graph consists of vertices (nodes, cells), and of edges that…

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Added by jwork.ORG on June 19, 2017 at 5:30pm — No Comments

The 10 Algorithms Machine Learning Engineers Need to Know

This article was written by James Le.

It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. As Big Data is the hottest trend in the tech industry at the moment, machine learning is incredibly powerful to make predictions or calculated suggestions based on large amounts of data. Some of the most common examples…

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Added by Emmanuelle Rieuf on June 19, 2017 at 2:30pm — No Comments

Interview with Nick Drake

I attended the interview with Nick Drake, Senior Vice President, Direct to Consumer at T-Mobile and Otto Rosenberger who serves as CMO at the Hostelworld Group at the Adobe Summit. The key take away of the entire session was that customer experience is the beginning and the core of digital transformations – it is where it all begins. 

T-Mobile and Hostelworld are…

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Added by Ronald van Loon on June 19, 2017 at 2:00am — No Comments

Artificial Intelligence in China in its direct sources: specific policies

Here is a fragment of my presentation for the text "Artificial Intelligence in China in its direct sources. Volume I. Specific Policies", , which I just published on the Amazon / Kindle platform. Volumes 2, 3 and 4 will be released in the next two weeks

"...In recent years, several countries…

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Added by Walter Farah on June 18, 2017 at 5:30am — No Comments

Deep Learning with TensorFlow in Python

The following problems appeared in the first few assignments in the Udacity course Deep Learning (by Google). The descriptions of the problems are taken from the assignments.…

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Added by Sandipan Dey on June 17, 2017 at 1:30pm — No Comments

Weekly Digest, June 19

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.

Upcoming DSC Webinars

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Added by Vincent Granville on June 17, 2017 at 8:30am — No Comments

Python: Implementing a k-means algorithm with sklearn

The below is an example of how sklearn in Python can be used to develop a k-means clustering algorithm.

The purpose of k-means clustering is to be able to partition observations in a dataset into a specific number of clusters in order to aid in analysis of the data. From this perspective, it has particular value from a data visualisation perspective.

This post explains how to:

  1. Import kmeans and PCA through the sklearn…
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Added by Michael Grogan on June 17, 2017 at 8:00am — 9 Comments

Data Modelling Topologies of a Graph Database

The associative data graph database model is still a heavy hitter, stacking up well against property graphs and triples/quadruples. Expect a comeback.

Definition

There is a lot of confusion with the definition of graph databases. In my opinion, any definition that avoids any reference to the semantics of nodes and edges or their internal structure…

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Added by Athanassios Hatzis on June 17, 2017 at 3:00am — No Comments

Sales Data Analysis using DataIku Studio

Overview

Dataiku Data Science Studio (DSS), a complete data science software platform, is used to explore, prototype, build, and deliver data products. It significantly reduces the time taken by data scientists, data analysts, and data engineers to perform data loading, data cleaning, data preparation, data integration, and data transformation when building powerful predictive applications.

It is easy and more user-friendly to explore the data and…

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Added by Raghavan Madabusi on June 15, 2017 at 2:30pm — No Comments

13 Great Blogs Posted in the last 12 Months

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. 

13 Great Blogs Posted in the last 12…

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Added by Vincent Granville on June 15, 2017 at 12:34pm — No Comments

What is Data Exhaust and What Can You Do With It?

Data exhaust? No, not exhaustion from data. Simply put, data exhaust is the data that a business collects that it doesn’t currently think it can put to use. The biggest producers of data exhaust are manufacturers and sometimes retailers. Especially manufacturers of appliances, vehicles and equipment and large chain retailers. Most software or SaaS companies use almost all the data they collect as they are more likely to be keenly aware of their data and how to find value from it. For the…
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Added by Giles Crouch on June 15, 2017 at 10:00am — No Comments

Career Advice for Students from 2017 Data Science Leaders

As a student interested in data science, it's not always straightforward to know exactly what you should focus on to get that first data scientist position. Also, being one of the faster-changing career paths, it's not always clear when certain pieces of career advice have become a bit dated or are even applicable in 2017.

I reached out to several data…

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Added by Andrew Smith on June 15, 2017 at 8:30am — No Comments

Thursday News: AI, IoT, Data Science, Machine Learning

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

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Added by Vincent Granville on June 15, 2017 at 7:30am — No Comments

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