It is very easy to assume that Data Scientists are highly technical people. Ones who invest all their intellect into interpreting data, concluding smart insights, and offering strategies accordingly. However, this assumption is quite quick to make and presents an incomplete image of any Data Scientist.
Due to such assumptions, many people, even recruiters, only focus on the hard skills of Data Scientists. In reality, a good Data Scientist also possesses the right combination of hard… Continue
Added by VAMSI NELLUTLA on August 17, 2018 at 6:23am —
While businesses around the globe continue to evolve their approaches to data exchange and storage, the rise of blockchain enterprises that specialize in helping other businesses grow into cutting edge organizations have been breaking new grounds and create lasting change through modern technology. We have… Continue
Added by Aileen Scott on August 13, 2018 at 7:30pm —
This article will provide a high level understanding of effective ways to set up a data science function in 3 types of organisations: (1) Startups, (2)… Continue
Added by Fahad Zaidi on August 16, 2018 at 11:00am —
Join the largest community of machine learning (ML), deep learning, AI, data science, business analytics, BI, operations research, mathematical and statistical professionals: Sign up here. If instead, you are only interested in receiving our newsletter, you can subscribe here.… Continue
Added by Vincent Granville on August 11, 2018 at 5:30am —
What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even people in leadership positions, this is a question which is puzzling everyone in its own way.
Added by Vibhor Nigam on August 15, 2018 at 7:30pm —
In my earlier post I discussed how performing topological data analysis on the weights learned by convolutional neural nets (CNN’s) can give insight into what is being learned and how it is being learned.
The significance of this work can be summarized as follows:
Added by Jonathan Symonds on August 9, 2018 at 11:30am —
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 —
I'm a big college sports fan, especially active in debates about which D1 conference is best. Five years ago, I came across the Learfield Directors' Cup, an annual evaluation/ranking program of college sports… Continue
Added by steve miller on August 14, 2018 at 12:35pm —
Added by Pratik Kanada on August 15, 2018 at 4:01am —
While a reliable method to accurately identify suicidal patients is … Continue
Added by Deena Zaidi on August 15, 2018 at 6:42pm —
With the rise of IoT devices (Internet of Things), being able to analyze and visualize live streams of data is becoming more and more important. For example, you could have sensors like thermometers in machines or portable medical devices like pacemakers, continuously streaming data to a streaming service like Kafka. PixieDust makes it easier to work with live data inside Jupyter Notebooks by providing simple integration APIs to both the PixieApp… Continue
Added by Packt Publishing on August 16, 2018 at 1:55am —
What is computer vision?
Nowadays, computer vision (CV) is one of the most widely used dimensions of machine learning. The main task of computer… Continue
Added by Igor Bobriakov on August 16, 2018 at 1:02am —
Added by Yoel Zeldes on August 15, 2018 at 10:30am —
Summary: There are some interesting use cases where combining CNNs and RNN/LSTMs seems to make sense and a number of researchers pursuing this. However, the latest trends in CNNs may make this obsolete.
There are things that just don’t seem to go together. … Continue
Added by William Vorhies on August 14, 2018 at 7:34am —
It is more than just a problem, rather a project, possibly even a long-term one for expert data scientists and/or mathematicians, if you want to make a significant contribution towards a great solution. Yet it is also a nice project for beginners, mostly involving exploratory data analysis on the largest data set ever created, using various machine learning techniques, to hone your data science expertise.
The data set contains an infinite number of observations (all the real numbers),… Continue
Added by Vincent Granville on August 14, 2018 at 3:30am —
Summary: This is the second in our “Off the Beaten Path” series looking at innovators in machine learning who have elected strategies and methods outside of the mainstream. In this article we look at Numenta’s unique approach to scalar prediction and anomaly detection based on their own brain research.
Added by William Vorhies on February 20, 2018 at 8:30am —
In this post, I discuss the development of the Enterprise AI business case through a framework of four quadrants. According to Gartner: “The mindset shift required for AI can lead to “cultural anxiety” because it calls for a deep change in behaviors and ways of thinking”. Deployment of AI in an Enterprise is complex and multi-disciplinary. Hence, this framework is evolutionary. The vendors and initiatives listed are included to… Continue
Added by ajit jaokar on August 12, 2018 at 7:11am —
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 Contributions
Added by Vincent Granville on August 11, 2018 at 2:00pm —
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 —
Data Science is one of the fastest growing careers attracting loads of youngsters towards it. With fresh listings almost every day on almost all the reputed job sites, Data Science is the field that is being courted by everyone. So if you are thinking of becoming a data scientist, then you are at the right place to learn more about this most coveted field of big data industry – Data Science. …
Added by Aileen Scott on August 8, 2018 at 11:43pm —