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Featured Blog Posts – July 2017 Archive (72)

Weekly Digest, July 10

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.

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Added by Vincent Granville on July 8, 2017 at 9:00am — No Comments

12 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. 

12 Great Blogs Posted in the last 12…

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Added by Vincent Granville on July 7, 2017 at 9:30am — No Comments

Top Hadoop Terms You Need to Know

The post is by Joseph Macwan. He is technical writer with a keen interest in business, technology and marketing topics.…

Hadoop_elephants

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Added by Amelia Matteson on July 7, 2017 at 8:00am — No Comments

Managing the tricky balance between data pooling and data retention with predictive platforms

It’s only when there’s enough representative data from the field they’re applied to, that process automation by Machine Learning technologies can really be harnessed, says Jean-Cyril Schütterlé, VP Product and Data Science at Sidetrade.

Likewise, spam detection is most effective when the learning algorithm has been populated with relevant examples.  The steering system of a self-driving car is the same…

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Added by Jean-Cyril Schütterlé on July 7, 2017 at 1:30am — No Comments

The E-Dimension: Why Machine Learning Doesn’t Work Well for Some Problems?

Why Machine Learning Doesn’t Work Well for Some Problems?

Shahab Sheikh-Bahaei, Ph.D.*

Principal Data Scientist

Intertrust Technologies.

Introduction

Machine Learning (ML) is closely related to computational statistics which focuses on prediction-making through the use of computers. ML is a modern approach to an old problem:  predictive inference. It makes an inference from “feature” space to “outcome/target” space.…

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Added by Shahab Sheikh-Bahaei on July 6, 2017 at 4:30pm — No Comments

Heart of the Data Science Revolution… Mankato, MN?

My job has the great advantage of bringing me in touch with some outstanding and truly brilliant people.  As an example, last year I spoke at the PrecisionAg Vision Conference in Phoenix (and I’ll be speaking there again this fall on October 12), and ran into a number of companies that were applying data science and big data principals to the world of agriculture.  Having grown up in Charles City, Iowa, I have a special place in my heart for farming and the importance of agriculture to the…

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Added by Bill Schmarzo on July 6, 2017 at 12:00pm — 2 Comments

Text Clustering : Get quick insights from Unstructured Data

In this two-part series, we will explore text clustering and how to get insights from unstructured data. It will be quite powerful and industrial strength. The first part will focus on the motivation. The second part will be about implementation.

This post is the first part of the two-part series on how to get insights from unstructured data using text clustering. We will build this in a very modular way so that it can be applied to any dataset. Moreover, we will also focus…

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Added by Vivek Kalyanarangan on July 5, 2017 at 6:30pm — No Comments

How to choose a great Data Science book

This article was written by Radhouane Aniba. 

How to pick a Data Science book :

Choosing a data science book is one of the important steps to properly learn from the experts in the field. It doesn’t have to be labeled as a data science book as it can relate to one of its many branches.

In this short review, I am going to…

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Added by Emmanuelle Rieuf on July 5, 2017 at 3:30pm — 1 Comment

Behind the Flight Deal Scrapy Project

Step 0: Should I try to Scrape this?

So you're excited about a great idea, you've found a great site that looks easy to scrape, time to jump right in and start writing a scraper, right?

STOP!

First things first, it's crucial to examine the data you wish to scrape. Is it well organized? Will it be difficult to clean later? Sentences can be notoriously hard to clean, because sentences have to be parsed somehow to extract…

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Added by NYC Data Science Academy on July 4, 2017 at 11:30am — No Comments

Understanding the Changing Position Roles in Data Science

Summary:  Is everyone a ‘data scientist’?  What about ‘data engineers’ and the junior versus senior, or skill level distinctions?  We do seem to need some agreement about titling.  Data Scientists is still the prestige title but there are some folks lobbying to take that title away.

 

Over just the last 12 to 18 months there has been more…

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Added by William Vorhies on July 4, 2017 at 7:27am — 5 Comments

Is Artificial Intelligence Possible?

 

"Artificial intelligence has been brain-dead since the 1970s." This rather ostentatious remark made by Marvin Minsky co-founder of the world-famous MIT Artificial Intelligence Laboratory, was referring to the fact that researchers have been primarily concerned on small facets of machine intelligence as opposed to looking at the problem as a whole. This article examines the contemporary issues of artificial…

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Added by Venkatesan M on July 4, 2017 at 1:30am — No Comments

Artificial or Augmented Intelligence: Talks with Intel’s Chief Data Scientist, Bob Rogers



I recently sat down with Bob Rogers. Bob is Intel’s Chief Data Scientist for Analytics and AI. I sought out answers to the some of the most popular questions related to artificial and augmented intelligence. The entire interview was illuminating, and shed some light on aspects that many people wouldn’t know about. (Sponsored by Intel)

So what is AI? Artificial…

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Added by Ronald van Loon on July 3, 2017 at 6:30am — No Comments

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