Summary: This is the first in a series about Chatbots. In this first installment we cover the basics including their brief technological history, uses, basic design choices, and where deep learning comes into play. In subsequent articles we’ll describe in more detail about how they are actually programmed and best practice dos and don’ts.
Added by William Vorhies on November 7, 2017 at 1:53pm —
Should a true AI engine be industry focused or industry neutral to have a positive effect on company valuation? This is one of the key debates amongst the VCs & PE firms evaluating their investment options in the promising world of AI startups.…
Added by Mukul Gupta on November 7, 2017 at 8:30am —
Here we describe well-known chaotic sequences, including new generalizations, with application to random number generation, highly non-linear auto-regressive models for times series, simulation, random permutations, and the use of big numbers (libraries available in programming languages to work with numbers with hundreds of decimals) as standard computer precision almost always produces completely erroneous results after a few iterations -- a fact rarely if ever mentioned in the scientific… Continue
Added by Vincent Granville on November 6, 2017 at 12:00pm —
I love it when I get feedback from a blog that I’ve written. I appreciate the different perspectives and insights that others bring to a topic of interest.
The section of the blog that fueled the most comments stem from a scene in the movie I, Robot where Detective Spooner (played by Will Smith) is explaining to Doctor Calvin (who is responsible for giving robots human-like behaviors) why he distrusts and hates robots. He is describing an incident…
Added by Bill Schmarzo on November 5, 2017 at 1:30pm —
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.
Announcements - U.S. Soccer
Added by Vincent Granville on November 5, 2017 at 10:00am —
For my graduate paper, I studied perceptions of workplace stress through the critical lens of social disablement. Writing this paper was certainly an intellectual exercise that at the time didn’t seem to have many practical applications. I am therefore honoured to become better acquainted with the “mechanics” of quantitative alienation through my day-to-day duties. I respect the fact that I can’t share any substantial details about my actual work processes on a blog. It will therefore be… Continue
Added by Don Philip Faithful on November 4, 2017 at 8:30am —
A strong declaration from a historically antagonist foe should put chills in the hearts of Americans preparing themselves for the world ahead: Russian President Vladimir Putin says the nation that leads in AI will be the ruler of the world … The ruler of the world!
From the article (with some modification to avoid political landmines), we get the following:
“The development of artificial intelligence has increasingly become a national security…
Added by Bill Schmarzo on November 4, 2017 at 6:00am —
Ranked as one of the best jobs to have all across the globe by Glassdoor, Data Science happens to be a field with a lot of changes and developments in store for itself. This being said it is very important to note that when it comes to data science, these changes are just not within the field itself but are also influenced by various developments around it. Most commonly noted of these developments. These developments could refer to the development of new technologies like Artificial… Continue
Added by Jasmini on November 4, 2017 at 12:30am —
Binary classification is one of the most frequent studies in applied machine learning problems in various domains, from medicine to biology to meteorology to malware analysis. Many researchers use some performance metrics in their classification studies to report their success. However, the literature has shown a widespread confusion about the terminology and ignorance of the fundamental aspects behind metrics.
In our paper tittled "Binary Classification Performance… Continue
Added by Gürol Canbek on November 3, 2017 at 10:00am —
This article was written by Tomasz Malisiewicz.
You might go to a cutting-edge machine learning research conference like NIPS hoping to find some mathematical insight that will help you take your deep learning system's performance to the next level. Unfortunately, as Andrew Ng reiterated to a… Continue
Added by Amelia Matteson on November 3, 2017 at 10:00am —
Many today would believe that the concept of big data analytics was no more different from the concept of the Internet of things, as is the fish different from the water it swims in. Which is why you would be very surprised to know that they are actually two different things in reality. Both these concepts being big names in the industry have some significant differences among them, these differences only exist very much for the boosting of various systems and operations of a… Continue
Added by Jasmini on November 3, 2017 at 12:00am —
Big Data tools not only simplify lengthy analytical procedures in any industry, but they also provide a competitive advantage to banks. With new regulations, banks are looking at ways to make compliance procedures more effective and accurate. Big Data in banking is slowly gaining momentum and… Continue
Added by Deena Zaidi on November 2, 2017 at 11:00am —
This is our selection of featured articles and resources posted since Monday. There were many great contributions from leading practitioners this week:
Added by Vincent Granville on November 2, 2017 at 8:21am —
Virtual reality, the idealised next step in both gaming and simulations. With the rise of Oculus Rift, HTC Vive, Sony’s Project Morpheus and the recent OnePlus Cardboard virtual reality is beginning to find a place in the consumer household, rather than with only arcades and technology enthusiasts.
The question is, and will be whether virtual reality is here to stay and how will it affect the current gaming market. TMR, a market intelligence company has released a… Continue
Added by Venkatesan M on November 1, 2017 at 9:30pm —
Since releasing the University of San Francisco research paper on “How to Determine the Economic Value of Your Data” (EvD), I have had numerous conversations with senior executives about the business and technology ramifications of EvD. Now with the release of Doug Laney’s “Infonomics” book that builds upon Doug’s EvD work at Gartner, I expect these conversations to intensify. In fact, I just traveled to Switzerland to discuss the potential business and technology…
Added by Bill Schmarzo on November 1, 2017 at 11:00am —
This article was written by Paramita Ghosh.
A 1969 McKinsey article claimed that computers were so dumb that they were not capable of making any decisions. In fact they said, it was human intelligence that drives the dumb machine. Alas, this claim has become a bit of a “joke” over the years, as the modern computers are gradually replacing… Continue
Added by Amelia Matteson on November 1, 2017 at 10:00am —
Artificial Intelligence is the future of growth. There is sure to be at least one article in the newspaper/internet/blogs daily on the revolutionary advancements made in the field of Artificial Intelligence or its subfield disrupting… Continue
Added by Vinod Sharma on November 1, 2017 at 8:30am —
Whether for yourself, a client, or any other business, an SEO data analytic report can be essential if you’re going to enjoy some level of success this year. Of course, the journey starts with a need to get the business higher up the rankings but it continues with passion and some level of knowledge.
Over time, you might introduce some new SEO techniques and change what the business is doing in terms of content.
However, changes are no… Continue
Added by Michell Morgan on October 31, 2017 at 10:30pm —
Nowadays, companies are besieged by information and the possibilities of new IT solutions. With the rapid advancements in information technology and high speed Internet, companies now have access to huge amounts of information, processing and sharing systems regarding customers, their demographics, and their… Continue
Added by Ronald van Loon on October 31, 2017 at 8:30pm —
Missing data present significant challenges to trend analysis of time series. Straightforward approaches consisting of supplementing missing data with constant or zero values or with linear trends can severely degrade the quality of the trend analysis, which significantly reduces the reliability of the trend analysis. …
Added by Ted on October 31, 2017 at 7:30pm —