Subscribe to DSC Newsletter

All Blog Posts (3,998)

Data Science and Machine Learning Without Mathematics

There is a set of techniques covering all aspects of machine learning (the statistical engine behind data science) that does not use any mathematics or statistical theory beyond high school level. So when you hear that some serious mathematical knowledge is required to become a data scientist, this should be taken with a grain of salt.…

Continue

Added by Vincent Granville on June 26, 2017 at 12:30pm — No Comments

Neural Networks as a Corporation Chain of Command

Neural networks are considered complicated and they are always explained using neurons and a brain function. But we do not need to learn how to brain works to understand Neural networks structure and how they operate. We can look as something people encounter in everyday life more…

Continue

Added by Maiia Bakhova on June 26, 2017 at 10:00am — No Comments

Book: Mastering Machine Learning with Python in Six Steps

A Practical Implementation Guide to Predictive Data Analytics Using Python

  • Covers basic to advanced topics in an easy step-oriented manner
  • Concise on theory, strong focus on practical and hands-on approach
  • Explores advanced topics, such as Hyper-parameter tuning, deep natural language processing, neural network and deep learning
  • Describes state-of-art best practices for model tuning for better model accuracy

About The Book:…

Continue

Added by Vincent Granville on June 26, 2017 at 7:18am — No Comments

The misapprehension of the data science use-case.

“We want to predict -X-.” Fill in any desirable topic on the location of the X and you have the formulation of a use-case in the way many companies today think about analytics use-cases. In order of increasing probability of success of such use-cases: X equals the winning lottery number, the future price of crude oil, windows falling from high-rise buildings (not kidding; actual use-case) and finally, a customer buying a mortgage.

This post deals with…

Continue

Added by Dr. Olav Laudy on June 25, 2017 at 4:00pm — No Comments

Weekly Digest, June 26

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

  • The …
Continue

Added by Vincent Granville on June 24, 2017 at 7:30am — No Comments

Title: AI for Summarization – Enabling Human-Consumable Information

In the first post in this series on Artificial Intelligence: Monster or Mentor? we saw that there are several key ways in which AI advances can improve human productivity in organizations. In this article, we’ll look at the first: Distillation.

Distillation is applying AI approaches to automate making…

Continue

Added by Roy Wilds, PhD, PHEMI Systems on June 23, 2017 at 8:30am — No Comments

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.…

Continue

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, …

Continue

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…

Continue

Added by Ramesh Dontha on June 21, 2017 at 7:00am — 2 Comments

The Three Way Race to the Future of AI. Quantum vs. Neuromorphic vs. High Performance Computing

Summary:  There’s a three way technology race to bring faster, easier, cheaper, and smarter AI.  High Performance Computing is available today but so are new commercial versions of actual Quantum computers and Neuromorphic Spiking Neural Nets.  These two new entrants are going to revolutionize AI and deep learning starting now.

 …

Continue

Added by William Vorhies on June 20, 2017 at 8:45am — 2 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…

Continue

Added by Ronald van Loon on June 20, 2017 at 7:00am — 1 Comment

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…

Continue

Added by Raghavan Madabusi on June 19, 2017 at 6:30pm — 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…

Continue

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…

Continue

Added by Ronald van Loon on June 19, 2017 at 2:00am — 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.…

Continue

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

Continue

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…
Continue

Added by Michael Grogan on June 17, 2017 at 8:00am — 7 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…

Continue

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

75 Big Data Terms To Make Your Dad Proud of You on Father's Day

My earlier article on ‘…

Continue

Added by Ramesh Dontha on June 15, 2017 at 4:30pm — No Comments

Monthly Archives

2017

2016

2015

2014

2013

2012

2011

1999

Follow Us

Videos

  • Add Videos
  • View All

Resources

© 2017   Data Science Central   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service