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Featured Blog Posts (4,438)

Soft Skills Every Data Scientist Must Possess

It is very easy to assume that Data Scientists are highly technical people. Ones who invest all their intellect into interpreting data, concluding smart insights, and offering strategies accordingly. However, this assumption is quite quick to make and presents an incomplete image of any Data Scientist.

Due to such assumptions, many people, even recruiters, only focus on the hard skills of Data Scientists. In reality, a good Data Scientist also possesses the right combination of hard…

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Added by VAMSI NELLUTLA on August 17, 2018 at 6:23am — 2 Comments

Blockchain- and How to Fortify your Business

While businesses around the globe continue to evolve their approaches to data exchange and storage, the rise of blockchain enterprises that specialize in helping other businesses grow into cutting edge organizations have been breaking new grounds and create lasting change through modern technology. We have…

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Added by Aileen Scott on August 13, 2018 at 7:30pm — No Comments

How to setup a Data Science function for your organisation

This article will provide a high level understanding of effective ways to set up a data science function in 3 types of organisations: (1) Startups, (2)…

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Added by Fahad Zaidi on August 16, 2018 at 11:00am — No Comments

Invitation to Join Data Science Central

Join the largest community of machine learning (ML), deep learning, AI, data science, business analytics, BI, operations research, mathematical and statistical professionals: Sign up here. If instead, you are only interested in receiving our newsletter, you can subscribe here.…

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Added by Vincent Granville on August 11, 2018 at 5:30am — No Comments

General Myths to avoid in Data Science and Machine Learning

What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even people in leadership positions, this is a question which is puzzling everyone in its own way.

For beginners…

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Added by Vibhor Nigam on August 15, 2018 at 7:30pm — 1 Comment

Going Deeper: More Insight Into How and What Convolutional Neural Networks Learn

In my earlier post I discussed how performing topological data analysis on the weights learned by convolutional neural nets (CNN’s) can give insight into what is being learned and how it is being learned.  

The significance of this work can be summarized as follows:

  1. It…
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Added by Jonathan Symonds on August 9, 2018 at 11:30am — No Comments

Leveraging Agent-based Models (ABM) and Digital Twins to Prevent Injuries

On the surface, preventing injuries to professional-caliber athletes would seem to have little in common with preventing operational failures for a machine (i.e., autonomous vehicle, locomotive, airplane, CT Scan).  However, both athletes and machines deal with inter-twined complex systems (where the interactions of one complex system can have a ripple effect on others) that can have significant impact on their operational effectiveness.

My son Max, the Director of…

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Added by Bill Schmarzo on August 6, 2018 at 11:19am — No Comments

A Little College Sports Analysis, but First a Little Data Wrangling

I'm a big college sports fan, especially active in debates about which D1 conference is best. Five years ago, I came across the Learfield Directors' Cup, an annual evaluation/ranking program of college sports…

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Added by steve miller on August 14, 2018 at 12:35pm — No Comments

How Can You Find The Best Machine Learning Frameworks?

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Added by Pratik Kanada on August 15, 2018 at 4:01am — No Comments

AI intervenes to bring down suicide rates

While a reliable method to accurately identify suicidal patients is …

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Added by Deena Zaidi on August 15, 2018 at 6:42pm — No Comments

PixieDust Support of Streaming Data

With the rise of IoT devices (Internet of Things), being able to analyze and visualize live streams of data is becoming more and more important. For example, you could have sensors like thermometers in machines or portable medical devices like pacemakers, continuously streaming data to a streaming service like Kafka. PixieDust makes it easier to work with live data inside Jupyter Notebooks by providing simple integration APIs to both the PixieApp…

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Added by Packt Publishing on August 16, 2018 at 1:55am — No Comments

Comparison of the Top Cloud APIs for Computer Vision

What is computer vision?

Nowadays, computer vision (CV) is one of the most widely used dimensions of machine learning. The main task of computer…

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Added by Igor Bobriakov on August 16, 2018 at 1:02am — No Comments

Neural Networks from a Bayesian Perspective

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Added by Yoel Zeldes on August 15, 2018 at 10:30am — No Comments

Combining CNNs and RNNs – Crazy or Genius?

Summary: There are some interesting use cases where combining CNNs and RNN/LSTMs seems to make sense and a number of researchers pursuing this.  However, the latest trends in CNNs may make this obsolete.

 

There are things that just don’t seem to go together. …

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Added by William Vorhies on August 14, 2018 at 7:34am — 2 Comments

New Off-the-beaten-path Problem

It is more than just a problem, rather a project, possibly even a long-term one for expert data scientists and/or mathematicians, if you want to make a significant contribution towards a great solution. Yet it is also a nice project for beginners, mostly involving exploratory data analysis on the largest data set ever created, using various machine learning techniques, to hone your data science expertise.

The data set contains an infinite number of observations (all the real numbers),…

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Added by Vincent Granville on August 14, 2018 at 3:30am — No Comments

Off the Beaten Path - HTM-based Strong AI Beats RNNs and CNNs at Prediction and Anomaly Detection

Summary: This is the second in our “Off the Beaten Path” series looking at innovators in machine learning who have elected strategies and methods outside of the mainstream.  In this article we look at Numenta’s unique approach to scalar prediction and anomaly detection based on their own brain research.

 …

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Added by William Vorhies on February 20, 2018 at 8:30am — No Comments

Four Quadrants of the Enterprise AI business case

Introduction

In this post, I discuss the development of the Enterprise AI business case through a framework of four quadrants.  According to Gartner: “The mindset shift required for AI can lead to “cultural anxiety” because it calls for a deep change in behaviors and ways of thinking”. Deployment of AI in an Enterprise is complex and multi-disciplinary. Hence, this framework is evolutionary.  The vendors and initiatives listed are included to…

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Added by ajit jaokar on August 12, 2018 at 7:11am — No Comments

Weekly Digest, August 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.

Featured Resources and Technical Contributions

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Added by Vincent Granville on August 11, 2018 at 2:00pm — No Comments

Machine Learning with C++ - Classification with Dlib

Dlib is an open source C++ framework containing various machine learning algorithms and many other complementary stuff which can be used for image processing, computer vision, linear algebra calculations and many other things. It has very good documentation and a lot of useful examples. In this post I will show how to use this library for solving a classification problem on Iris data…

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Added by Kyrylo Kolodiazhnyi on August 7, 2018 at 7:03am — No Comments

Benefits Of Being A Data Scientist Professional

Data Science is one of the fastest growing careers attracting loads of youngsters towards it. With fresh listings almost every day on almost all the reputed job sites, Data Science is the field that is being courted by everyone. So if you are thinking of becoming a data scientist, then you are at the right place to learn more about this most coveted field of big data industry – Data Science. …

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Added by Aileen Scott on August 8, 2018 at 11:43pm — No Comments

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