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…

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…

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…

I periodically use charts containing a crosswave “differential spectrum” or “event horizon.”  In this blog, I will explain the nature of the spectrum and the relevance of any apparent bias.

I once mentioned purchasing a machine designed to monitor and reduce sleep apnea.  Sleep apnea is when a person stops breathing while sleeping.  During a sleep study, I was found to have moderate sleep apnea.  Apart from its medical implications, sleep apnea is also a metric.  The machine…

Recently, I have been working on the Neural Networks for Machine Learning course offered by Coursera and taught by Geoffrey Hinton. Overall, it is a nice course and provides an introduction to some of the modern topics in deep learning. However, there are instances where the student has to do lots of extra work in order to understand the topics covered in full detail.

One of the assignments in…

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.…

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…

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…

Summary: Gartner says that predictive analytics is a mature technology yet only one company in eight is currently…

In this blog, I will explain how an approach to handle small amounts data can be reconstructed to handle much larger amounts. This reconstruction is the product of an anomalous perspective or mutation relating to the attribution of performance.

Fig. 1 - 6-fingered handprint spotted near my…

I tend to examine the different roles played by data. For instance, when I work on computer code, I often ask myself what the presence of data is meant to accomplish. Sometimes the analysis is not at all straightforward or simple. In society and organizations, people exist and persist in the records as data. The data survives even as employees come and go. I therefore consider it important to regard the data and its environment as a system in itself, something that has a life all of its own.…

check out the main consumers of Natural gas during summer and winter. check out how the pattern changes . i have used data from EIA, improved upon it by comparing it with other sources and presented in a very easy to see form

really interesting. with more of NG supply coming up

US Natural Gas consumption stack