Subscribe to DSC Newsletter

All Blog Posts Tagged 'processing' (13)

Python Multi-Threading vs Multi-Processing

There is a library called threading in Python and it uses threads (rather than just processes) to implement parallelism. This may be surprising news if you know about the Python's Global Interpreter Lock, or GIL, but it actually works well for certain instances without violating the GIL. And this is all done without any overhead -- simply define…

Continue

Added by Michael Li on November 29, 2018 at 6:30am — 1 Comment

Natural Language Understanding (NLU) in Fraud Risk Management – a case study

I.  Introduction

This is a continuation of my previous blog, “Natural Language Understanding – Application Notes with Context Discriminant”. 

Background:

Natural Language Understanding (NLU) is a subtopic of Natural Language Processing (NLP). Successful implementations of NLU are difficult because of limitations in prevailing technology. SiteFocus solved these limitations with a new approach to NLU. This approach has been successfully…

Continue

Added by Sing Koo on April 10, 2018 at 1:30pm — 1 Comment

Natural Language Understanding (NLU) in Enterprise – Digesting IPO Prospectus

Introduction

Business ventures based on existing or disruptive business models taking on the route of Initial Public Offering are always a challenge to investors who want to profit from early investment into those would be “unicorn IPO”. A good investment may get worse before it gets better. Others may get worse and never recover. Aside from the macroeconomics and consumer trends that could affect the outcome of such investments, the fundamentals of these new public offerings…

Continue

Added by Sing Koo on October 31, 2017 at 2:30am — No Comments

Natural Language Understanding – Application Notes with Context Discriminant

Introduction

Deep Learning can be used to automate just about every repetitive task that is currently or formerly performed by humans. Factory robots, autonomous cars, Internet of Things are example of these automations. Yet, mentally challenging tasks such as conducting research or strategic planning with natural language textual documents remain a daunting task for automation. We look into the root cause of this challenge and have implemented a solution to automate these…

Continue

Added by Sing Koo on October 6, 2017 at 1:00pm — No Comments

Don’t Allow Yourself to Be Hoodwinked by Unstructured Data Analytics Technology

By JIANG Buxing, Data Scientist 

As big data concept gains momentum, unstructured data analytics technology is becoming hot.  It is said that 80% of all data in an enterprise is unstructured, which is roughly true when it is measured by the space, considering the large size of the audio and video data. With huge amounts of data at hand, some technique is required to analyze them.

But make sure you are not misled by the universal unstructured data analytics…

Continue

Added by JIANG Buxing on July 24, 2017 at 12:00am — No Comments

Finding and Using Data That Matters – 6 Things to Think About

Search any data related posting and you’ll soon be up to your eyeballs in reports on the promise of the new data era, techniques to help build a better data engine or incorporate new data widgets, and infographics and visualizations showing the kinds of insights you can get with the right mix of techniques.

Got it. Data is big. It’s expected to grow in volume to 35 to 45 zetabytes by 2020. As in seven sets of three zeros big.

It’s also transforming business processes big.…

Continue

Added by Anne Russell on August 3, 2016 at 11:00am — No Comments

Applications of Deep Learning

This post highlights a number of important applications found for deep learning so far. It is well known that 80% of data is unstructured. Unstructured data is the messy stuff every quantitative analyst tries to traditionally stay away from. It can include images of accidents, text notes of loss adjusters, social media comments, claim documents and review of medical doctors etc. Unstructured data has massive potential but has never been traditionally considered as a source of insight before.…

Continue

Added by Syed Danish Ali on June 26, 2016 at 5:00am — No Comments

The Data-Driven Weekly #1.4

With the holiday shopping season officially kicked off, sales data is on everyone's mind. But that's not the only data people are talking about. Talk of data brokers and consumer tracking is becoming more commonplace, as is a certain backlash against big data. This week, we highlight some articles touching on these subjects and round out the discussing with some coverage of natural language processing techniques.





Data Brokers

Everyone knows about online…

Continue

Added by Brian Rowe on December 1, 2015 at 1:01pm — No Comments

Semantics Approach to Big Data and Event Processing - full content from 3 day in-depth tutorial

Variety, Velocity, Volume and Veracity are the four Vs for Big Data. Most of the technologies available have shown how to treat the Volume. However, due to the increasing number of streaming data sources, the Velocity problem is as relevant as never before. Moreover, Veracity and especially Variety problems have increased the difficulty of the challenge.…

Continue

Added by Amit Sheth on November 5, 2015 at 8:30am — No Comments

Short story on scaling an NLP problem without using a ton of hardware.

The cornerstone of the small work done for getting the info for these great charts with IEPY, was to be able to catch mentioned companies.

Click here for an interactive version of this chart…

Continue

Added by Elías Andrawos on April 28, 2015 at 5:30am — 2 Comments

The Hype Around Graph Databases And Why It Matters

Organizations are struggling with a fundamental challenge – there’s far more data than they can handle.  Sure, there’s a shared vision to analyze structured and unstructured data in support of better decision making but is this a reality for most companies?  The big data tidal wave is transforming the database management industry, employee skill sets, and business strategy as organizations race to unlock meaningful connections between disparate sources of…

Continue

Added by Tony Agresta on April 7, 2015 at 6:45am — 4 Comments

Lesson 4: Features Common to (Most) NoSQL/NewSQL Databases

Summary:  These are the features common to most NOSQL databases.  Be on the lookout for any fundamental differences.

Before we get to the specific pros and cons of the four NOSQL database types there are some features and capabilities true of most of these that you should know.…

Continue

Added by William Vorhies on September 8, 2014 at 2:53pm — 2 Comments

Types and Uses of Predictive Analytics, What they are and Where You Can Put Them to Work

Summary: Gartner says that predictive analytics is a mature technology yet only one company in eight is currently utilizing this ability to predict the future of sales, finance, production, and virtually every other area of the…

Continue

Added by William Vorhies on August 13, 2014 at 10:54am — No Comments

Monthly Archives

2019

2018

2017

2016

2015

2014

2013

2012

2011

1999

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

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