Several of my friends have challenged me to get involved in the AI ethics discussion. I certainly do not have any special ethics training. But then again, maybe I do. I’ve been going to church most Sundays (and not just on Christmas Eve) since I was a kid and have been taught a multitude of “ethics” lessons from the Bible. So, respectively, let me take my best shot at sharing my thoughts about the critical importance of the AI Ethics topic.
Added by Bill Schmarzo on December 31, 2019 at 12:30pm — No Comments
Summary: Reinforcement Learning (RL) is going to be critical to achieving our AI/ML technology goals but it has several barriers to overcome. While reliability and a reduction in training data may be achievable within a year, the nature of RL as a ‘black box’ solution will bring scrutiny for its lack of transparency.
…
ContinueAdded by William Vorhies on December 30, 2019 at 11:18am — No Comments
The history of Database management systems could be interpreted as a Darwinian evolution process.
The dominance of relational databases gives way to the data warehouses one, which better adapt to the earliest business intelligence requirements; then, alongside the rise of the most popular big data platforms such as Hadoop or spark, comes the era of the NoSQL…
Added by Valeria on December 30, 2019 at 1:00am — No Comments
Here is another resource I use for teaching my students at AI for Edge computing course. I like this resource because I like the cookbook style of learning to code. The resource is based on the book Machine…
ContinueAdded by ajit jaokar on December 29, 2019 at 11:30pm — No Comments
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. To subscribe, follow this link. …
ContinueAdded by Vincent Granville on December 29, 2019 at 4:30pm — No Comments
“When I think back on all the crap I’ve learned in high school, It’s a wonder I can think at all” - Simon and Garfunkel, Kodachrome
Growing up in the ’60s in California, we were subjected to a lot of educational experiments. We had beanbag chairs in class. We squinted into uncomfortable metal and…
ContinueAdded by Russell W Anderson on December 28, 2019 at 2:30am — No Comments
As a data scientist in an organization you frequently find yourself in a couple of situations:
Added by Mab Alam on December 27, 2019 at 8:00pm — No Comments
In a recent blog I stated that “Crossing the AI Chasm" is primarily an organizational and cultural challenge, not a technology challenge. That “Crossing the AI Chasm” not only requires organizational buy-in, but more importantly, necessitates creating a culture of adoption and continuous learning fueled at the front-lines of customer and/or operational engagement (see Figure 1).…
ContinueAdded by Bill Schmarzo on December 27, 2019 at 12:00pm — 2 Comments
Business intelligence is an umbrella term covering a variety of ways to collect, store and analyze business operations and activities data. This one picture shows you the different processes and methods that make up the business intelligence sphere.
Added by Stephanie Glen on December 27, 2019 at 9:58am — No Comments
Through exposure to the news and social media, you are probably familiar with the fact that machine learning has become one of the most exciting technologies of our time. While it may seem that machine learning has become the buzzword of our age, it is certainly not just hype. This exciting field opens up the way to new possibilities and has become indispensable to our daily lives.
Being exposed to practical code examples and working through example applications
of machine…
Added by Packt Publishing on December 27, 2019 at 1:38am — No Comments
The picture below is from the article Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey, posted here.
Authors: Giang Nguyen, Stefan Dlugolinsky, Martin Bobák, Viet…
ContinueAdded by Capri Granville on December 26, 2019 at 12:00pm — No Comments
In a recent blog, I described the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders as an ontological reference. I explained how this type of resource can be used for the codification of distributable events in order to build up a database. In an organization, although the context surrounding the idea of a “disorder” is different;…
ContinueAdded by Don Philip Faithful on December 26, 2019 at 7:07am — No Comments
You can always learn a lot from the papers presented at NeurIPS
There is some good analysis already on the web.
From Chip Huygen – neurips 2019 analysis and from David…
ContinueAdded by ajit jaokar on December 25, 2019 at 7:54am — No Comments
Predictive analytics, prescriptive analytics and the fairly recent offshoot-- discovery analytics-- can all support business decision making. Although the three tools are very similar in that they build off the same analytic foundation, the types of decisions they support are quite different. This one picture explains the differences between the three methods.…
ContinueAdded by Stephanie Glen on December 24, 2019 at 11:35am — 1 Comment
Added by Max Ved on December 23, 2019 at 2:31pm — No Comments
This article was written by Bob Hayes.
Data science requires the effective application of skills in a variety of machine learning areas and techniques. A recent survey by Kaggle, however, revealed that a limited number of data professionals possess competency in advanced machine learning skills. About half of data professionals said they were competent in…
ContinueAdded by Andrea Manero-Bastin on December 23, 2019 at 1:00pm — 1 Comment
Summary: For all the hype around winning game play and self-driving cars, traditional Reinforcement Learning (RL) has yet to deliver as a reliable tool for ML applications. Here we explore the main drawbacks as well as an innovative approach to RL that dramatically reduces the training compute requirement and time to train.
…
ContinueAdded by William Vorhies on December 23, 2019 at 7:30am — No Comments
Introduction
The utilization of biometrics as a tool for securing and verifying identity has been standard practice among government and law enforcement agencies for quite some time now. Some of the common uses of biometrics include the collection and storage of fingerprints to track government- and state-issued permits and licenses (in the cases of healthcare professionals, passports, drivers’ licenses, etc.), the prevention of…
ContinueAdded by Ram Sivasankaran on December 22, 2019 at 5:30pm — No Comments
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. To subscribe, follow this link. …
ContinueAdded by Vincent Granville on December 22, 2019 at 4:00pm — No Comments
AI and the future of work is a major topic of discussion
Most views on this subject are negative
More broadly, the negative impact of technology has been highlighted by Nicholas Carr (the shallows) ,…
ContinueAdded by ajit jaokar on December 22, 2019 at 1:30pm — No Comments
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
© 2021 TechTarget, Inc.
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
Most Popular Content on DSC
To not miss this type of content in the future, subscribe to our newsletter.
Other popular resources
Archives: 2008-2014 | 2015-2016 | 2017-2019 | Book 1 | Book 2 | More
Most popular articles