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2020 Emerging Technologies Trends: Enteprise DigitalOps processes hyperautomated by IPA platforms

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…


Added by Pablo Escobar de la Oliva on January 3, 2020 at 1:05am — 1 Comment

A beginner’s guide to BigQuery Sandbox and exploring public datasets.

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…


Added by Alex Blyakhman on January 2, 2020 at 8:00pm — No Comments

Thursday News, January 2

Here is our selection of featured articles and technical contributions  published since Monday:

Technical Resources


Added by Vincent Granville on January 2, 2020 at 11:30am — No Comments

Schmarzo’s Favorite 10 Infographic Blogs for 2019

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:

  • Monetize a digital asset (data) that never wears out, never…

Added by Bill Schmarzo on January 2, 2020 at 5:30am — No Comments

What is BERT and how does it Work?

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…


Added by Rahul Dharia on January 2, 2020 at 4:11am — No Comments

Web UI Development: Why Vue.js is the Idea Choice

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…


Added by Ryan Williamson on January 2, 2020 at 1:13am — No Comments

Essentials of Deep Learning : Introduction to Long Short Term Memory

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…


Added by Andrea Manero-Bastin on January 1, 2020 at 4:30am — No Comments

AI Ethics Challenge: Understanding Passive versus Proactive Ethics

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.

What is AI…


Added by Bill Schmarzo on December 31, 2019 at 12:30pm — No Comments

Can Reinforcement Learning Break Through in 2020

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

It's time for Time-series Databases

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

Data science cookbook style code reference in Python for beginners

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…


Added by ajit jaokar on December 29, 2019 at 11:30pm — No Comments

Weekly Digest, December 30

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.  …


Added by Vincent Granville on December 29, 2019 at 4:30pm — No Comments

I (kind of) Liked New Math

“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…


Added by Russell W Anderson on December 28, 2019 at 2:30am — No Comments

Not tools, focusing on problems: a project cycle in data science

As a data scientist in an organization you frequently find yourself in a couple of situations:

  • you have a business…

Added by Mab Alam on December 27, 2019 at 8:00pm — No Comments

Wanna Build an AI-powered Organization? Start by Getting EVERYONE to “Think Like A Data Scientist”

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).…


Added by Bill Schmarzo on December 27, 2019 at 12:00pm — 2 Comments

Business Intelligence Analytics in One Picture

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

Tech Talk: Sebastian Raschka’s take on TensorFlow 2.0 and the new edition of his widely acclaimed Python Machine Learning book

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

Thursday News, December 26

Here is our selection of featured articles and resources, posted since Monday:

Technical Resources


Added by Vincent Granville on December 26, 2019 at 12:30pm — No Comments

Machine Learning Technical Landscape

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…


Added by Capri Granville on December 26, 2019 at 12:00pm — No Comments

Event Conceptualization & Distribution Modelling

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;…


Added by Don Philip Faithful on December 26, 2019 at 7:07am — No Comments

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