DigitalOps has been one of the emergent topics in 2019 (link) and will still be on the “hype curve” designed by Gartner for the next years, now in 2020 the buzz word is…Continue
As you might realize by now, writing SQL queries is one of the essential skills any inspiring data analyst needs to master. After all, larger datasets are typically stored in relational databases and Structured Query Language is the language that helps us communicate with such databases. Sure, NoSQL is gaining…Continue
Added by Alex Blyakhman on January 2, 2020 at 8:00pm — No Comments
Here is our selection of featured articles and technical contributions published since Monday:
Added by Vincent Granville on January 2, 2020 at 11:30am — No Comments
2019 was a year full of outstanding customer engagements and provocative teaching experiences across numerous universities. My eyes were opened to many new opportunities to integrate economics, design thinking, big data and data science (AI / ML / DL) to further my case for a Nobel Prize in Economics (which I’d prefer not to be awarded posthumously). That includes helping organizations:
Added by Bill Schmarzo on January 2, 2020 at 5:30am — No Comments
The recent release of BERT is one of the most pioneering innovations in the field of NLP, which is considered a way ahead of all other traditional NLP models.
Let’s find out what is BERT and how will it transform NLP.
What is BERT?
BERT (Bidirectional Encoder Representations…Continue
Added by Rahul Dharia on January 2, 2020 at 4:11am — No Comments
As anyone involved in the developing world would tell you, the app’s UI is one of its most critical elements, if not the most important. After all, the design is one of the first things that any user sees and if that isn’t appealing, easy, and convenient, there should be no wonder about the app’s inability to garner better customers. Thankfully, most folks seem to understand this now and yet find themselves struggling with a critical question in their pursuit of good design: Which framework…Continue
Added by Ryan Williamson on January 2, 2020 at 1:13am — No Comments
This article was written by Pranjal Srivastava.
Sequence prediction problems have been around for a long time. They are considered as one of the hardest problems to solve in the data science industry. These include a wide range of problems; from predicting sales to finding patterns in stock markets’ data, from understanding movie plots to recognizing your…Continue
Added by Andrea Manero-Bastin on January 1, 2020 at 4:30am — No Comments
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.
Added 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…Continue
Added 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. …Continue
Added 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…Continue
Added 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).…Continue
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
Added by Packt Publishing on December 27, 2019 at 1:38am — No Comments
Here is our selection of featured articles and resources, posted since Monday:
Added by Vincent Granville on December 26, 2019 at 12:30pm — 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…Continue
Added 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;…Continue
Added by Don Philip Faithful on December 26, 2019 at 7:07am — No Comments