Dlib is an open source C++ framework containing various machine learning algorithms and many other complementary stuff which can be used for image processing, computer vision, linear algebra calculations and many other things. It has very good documentation and a lot of useful examples. In this post I will show how to use this library for solving a classification problem on Iris data…Continue
Added by Kyrylo Kolodiazhnyi on August 7, 2018 at 7:03am — No Comments
Andrew Ng is a great fan of reading research papers as a long term investment in your own study (On Life, Creativity, And Failure about Andrew Ng). Anyone who has worked in our field (AI, Machine Learning) can attest to that. AI is a complex and a rapidly evolving…Continue
In our previous articles, we have discussed the top Python libraries for data science. This time we will focus on Scala, which has recently become another prominent language for data scientists. It has gained popularity mostly due to the rise of Spark,…Continue
Added by Igor Bobriakov on August 7, 2018 at 12:16am — No Comments
On the surface, preventing injuries to professional-caliber athletes would seem to have little in common with preventing operational failures for a machine (i.e., autonomous vehicle, locomotive, airplane, CT Scan). However, both athletes and machines deal with inter-twined complex systems (where the interactions of one complex system can have a ripple effect on others) that can have significant impact on their operational effectiveness.
My son Max, the Director of…Continue
Added by Bill Schmarzo on August 6, 2018 at 11:19am — No Comments
Smart tags process: an algorithm for efficiently extracting useful information from a piece of text and storing it in a retrieval system.
The knowledge is extracted by asking the reader to answers a certain number of questions. Every time the answers to a question is yes, specifics tags are collected and stored. Every time the answer to a question is no, specific tags are also collected and stored. Some question ask the user to select in a list. In this case, all the elements…Continue
Added by Issoufou Seidou Sanda on August 5, 2018 at 7:30am — No Comments
Added by Matthew Gierc on August 4, 2018 at 10:30am — No Comments
What do experienced data scientists know that beginner data scientists don't know? Here is a quick overview.
Added by Vincent Granville on August 4, 2018 at 8:00am — 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.
Featured Resources and Technical ContributionsContinue
Added by Vincent Granville on August 4, 2018 at 6:30am — No Comments
My blog “Blockchain + Analytics: Enabling Smart IOT” drew some great feedback asking me to clarify my autonomous vehicle example that used blockchain as a means of near real-time, peer-to-peer communications between clusters of intelligent devices and machines. But first, some background.
Edge analytics within an Internet of Things (IOT) world is very…Continue
Added by Bill Schmarzo on August 4, 2018 at 6:08am — No Comments
This content is no longer available. For similar infographics, see here.
Added by Olha Zhydik on August 3, 2018 at 4:00am — No Comments
One interesting metric to check the usefulness of Everipedia as a desk reference for data mining is to compare the number of relevant articles. Go to Everipedia (https://everipedia.org/) and search for "data mining". You will get 7 articles.Then go to Wikipedia and search "data mining" You will see 4 articles (overlapped with similar Everipedia articles).
Another example. Try the word "smoothing" which is a popular topic in data analysis.…Continue
Added by jwork.ORG on August 2, 2018 at 1:34pm — No Comments
In the twentieth century, oil was the most valuable resource – but not anymore. In today’s digital age data is the new oil. It will play a similar, perhaps bigger role, becoming a game changer that provides power in terms of information and competitive advantage through actionable insights. Some experts call it a commodity, but an ever-increasing one. The…Continue
Added by Amit Supe on August 2, 2018 at 10:15am — No Comments
Here is our selection of featured articles, forum questions, and resources posted since Monday.
Added by Vincent Granville on August 2, 2018 at 9:00am — No Comments
I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.…Continue