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.
Featured Resources and Technical… Continue
Added by Vincent Granville on March 24, 2019 at 10:00am —
AI and patents - trends to watch from the WIPO technology trends report
WIPO Technology Trends report 2019 came as a surprise to me. We in AI are not used to thinking about patents so much because tools / platforms are mostly Open sourced.
Here are the key… Continue
Added by ajit jaokar on March 22, 2019 at 1:05pm —
Logistic regression is regressing data to a line (i.e. finding an average of sorts) so you can fit data to a particular equation and make predictions for your data. This type of regression is a good choice when modeling binary variables, which happen frequently in real life (e.g. work or don't work, marry or don't marry, buy a house or rent...). The logistic regression model is popular, in part,… Continue
Added by Stephanie Glen on March 22, 2019 at 11:30am —
BigQuery is Google’s serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator.
Analyze all your data by… Continue
Added by satyajit maitra on March 22, 2019 at 3:49am —
Massively multiplayer online role-playing games, more commonly referred to as MMORPGs, continue to gain popularity. Whether this upward trend will continue is a topic of debate among many. This growing hobby has attracted participants from all walks of life. Though computer games have been around for years, MMORPGs are different in numerous facets. While a healthy form of entertainment for some men, women, and children, others develop something more akin to addiction. Are these increasingly… Continue
Added by Matthew Evans on March 22, 2019 at 1:36am —
By Peter Cooman
Added by Civis Analytics on March 21, 2019 at 12:00pm —
You will find here our selection of featured articles and resources posted since Monday.
Resources and Tutorials
Added by Vincent Granville on March 21, 2019 at 10:00am —
Updated on March 24. See new sections on Fibonacci numbers [3.2.(b)], comparing stochastic processes [4.1.(b)], connection with Brownian motions [4.1.(c)], new material in section 4.3, and new addition in the Appendix [5.4].
I present here some innovative results from my most recent research on stochastic processes. chaos modeling, and dynamical systems, with applications to Fintech, cryptography, number theory, and random number… Continue
Added by Vincent Granville on March 20, 2019 at 6:00pm —
Last week I attended a three-day Gartner Summit in London. For all those who didn’t manage a trip, I want to share with you the biggest insights I gathered from the conference and review those things that impressed me the most.
Visualization and interaction go hand in hand in modern businesses. Regardless of industry, the vibe, energy, and atmosphere defines a brand. And at the Gartner Summit, that vibe was entertainment with a… Continue
Added by Michał Frącek on March 20, 2019 at 4:00am —
This article, written by the Facebook research team, was written by Ben Letham, Brian Karrer, Guilherme Ottoni and Eytan Bakshy.… Continue
Added by Andrea Manero-Bastin on March 19, 2019 at 9:30am —
Grafana is an open-source, nightly built dashboarding, analytics, and monitoring platform that is tinkered for connection with a variety of sources like Elasticsearch, Influxdb, Graphite, Prometheus, AWS Cloud Watch, and many others.
One of the biggest highlights of Grafana… Continue
Added by Igor Bobriakov on March 18, 2019 at 10:13pm —
Deep Learning is a highly empirical domain which majorly focusses on fine-tuning the various parameters. The choice of these parameters defines the accuracy of the model. So, it becomes important to choose such parameters wisely. Choosing the parameters based on intuition might not work every time which can degrade the performance of the model drastically. Also, a considerable amount of time and effort will go in vain while selecting the values of parameters based…
Added by Divya Singh on March 18, 2019 at 8:30pm —
I suck at the NCAA March Madness® bracket selection process. I let my personal biases get in the way of making decisions based upon the numbers. I over-rate the well-known Big Ten conference and under-rate the lesser-known Mid Majors and fall in love with the most recent team I saw on TV win their conference tournament. You see, I fall prey to all the common decision-making traps – recency bias, over-confidence, anchoring, risk aversion, framing… Continue
Added by Bill Schmarzo on March 18, 2019 at 5:48pm —
This is a simple overview of the k-NN process. Perhaps the most challenging step is finding a k that's "just right". The square root of n can put you in the ballpark, but ideally you should use a training set (i.e. a nicely categorized set) to find a "k" that works for your data. Remove a few categorized data points and make them "unknowns", testing a few values for k to see what works.…
Added by Stephanie Glen on March 18, 2019 at 10:30am —
The manufacturing business faces huge transformations nowadays. Due to rapid development of digital world and broad application of data science, various fields of human activity seek improvement. Modern manufacturing is often referred to as industry 4.0 that is the manufacturing under conditions of the fourth industrial… Continue
Added by Igor Bobriakov on March 18, 2019 at 9:08am —
Summary: Based on a McKinsey study we reported that 47% of companies had at least one AI/ML implementation in place. Looking back at the data and the dominance of RPA as the most widely reported instance makes us think that the number is probably significantly lower.
We’ve been trying to get a handle on… Continue
Added by William Vorhies on March 18, 2019 at 9:00am —
We’ve all experienced the great data rush as companies push to use analytics to drive business decisions. After all, the proliferation of data and its intelligent analysis can change entire company trajectories. But to make the quintillions of data created each day truly useful, as well as all that has come before, it must be understandable to an artificial intelligence (AI) system.
Dealing with numbers is one thing, but human language is… Continue
Added by Rosaria Silipo on March 18, 2019 at 7:41am —
March Madness officially arrived at 6 PM CDT, Sunday 3/17/2019. 68 D1 schools -- 32 league champions and 36 at large selections -- received invitations to this year's tournament, which starts…
Added by steve miller on March 18, 2019 at 5:35am —
Added by Benjamin Waxer on March 18, 2019 at 5:00am —
Can Lack of Data Always Provide Valuable Insights?
Prashanth H Southekal and Matthew Joyce
Today, data – both structured and unstructured, is seen as the most valuable business asset to solve problems and improve productivity. An article in Forbes says every company today is a data company! However, we… Continue
Added by Prashanth Southekal, PhD on March 18, 2019 at 3:30am —