In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that everyone seems to be talking about. The second part is a tensorflow tutorial on getting started, installing and building a small use case.
This post is the second part of the multi-part series on a complete tensorflow tutorial –
I periodically use the term “data object” in my blogs. Since I do not normally blog about data objects per se, I find myself simply stating that in-depth analysis might need to go beyond numbers; therefore, we should consider data objects. This might confuse readers unaware of what a data object is - or at least what I mean by it. To make matters challenging, readers inclined towards data science do not necessarily have much background in the liberal arts; and those with degrees in the…Continue
Added by Don Philip Faithful on September 22, 2017 at 1:00am — No Comments
In this article, some more social networking concepts will be illustrated with a few problems. The problems appeared in the programming assignments in the
coursera course Applied Social Network Analysis in Python. The descriptions of the problems are taken from the assignments. The analysis is done using NetworkX.
The following theory is going to be used to solve the assignment problems.
Added by Sandipan Dey on September 21, 2017 at 11:30pm — No Comments
This article was written by Carlos Mendoza.
Advancements in machine learning and artificial intelligence (AI) opens new doors for…Continue
Added by Amelia Matteson on September 21, 2017 at 11:00am — No Comments
Data, in particular, unstructured data has been growing at a very fast pace since mid-2000’s. Eighty percent of all data generated is unstructured multimedia content which fails to get focus in organizations’ big data initiatives. A good portion of this multimedia content is images and videos. Readily available smart wireless devices along with the rising popularity…Continue
Added by Khosrow Hassibi on September 21, 2017 at 8:30am — No Comments
A lot of times when the prevalent industry trends are discussed among industry folks, there are usually two directions in which the conversation goes. It is either varying states of disbelief at the rate of change within the business and IT landscapes; or it is enthusiastic agreement on the importance of moving with the times and adopting a digital infrastructure.…Continue
Added by Ronald van Loon on September 21, 2017 at 8:00am — No Comments
Ready for some sobering stats? The average mobile app loses 77% of its DAUs within the first 3 days after install. Within 30 days, that number jumps to 90%. Within 90 days, it’s over 95%.
For your app to succeed, you can’t let these stats be your reality. It’s easy to look at your app’s growth metrics and see what…
Added by Vijay Mandeep on September 21, 2017 at 12:00am — No Comments
The following problems appeared in the programming assignments in the coursera course Applied Social Network Analysis in Python. The descriptions of the problems are taken from the assignments. The analysis is done using NetworkX.
The following theory is going to be used to solve the assignment problems.
1. Creating and Manipulating…Continue
Large prime numbers have been a topic of considerable research, for its own mathematical beauty, as well as to develop more powerful cryptographic applications and random number generators. In this article, we show how big data, statistical science (more specifically, pattern recognition) and the use of new efficient, distributed algorithms, could lead to an original research path to discover large primes. Here we also discuss new mathematical conjectures related to our…Continue
Added by Vincent Granville on September 20, 2017 at 10:00am — No Comments
Why do Navy seals make their own bed?
Added by Archisman Majumdar on September 19, 2017 at 10:30pm — No Comments
“Data will talk to you if you’re willing to listen”— Jim Bergeson.
Few can dispute that.
However, the challenge comes when data transforms into bundles and stacks of unorganized and unstructured data sets. The challenge comes with listening to…Continue
Added by Ronald van Loon on September 19, 2017 at 8:00pm — No Comments
Webster defines classification as follows:
A systematic arrangement in groups or categories according to established criteria.
The world around is full of classifiers. Classifiers help in preventing spam e-mails. Classifiers help in identifying…Continue
Summary: In just the last 10 months based only on facial characteristics deep learning has been used to predict who is a criminal and who is gay. These are rigorous, peer reviewed studies published in academic journals. How should this knowledge be used and how will the public react?
AI has taken some steps into banking, but it also poised to transform how banks learn from and interact with customers. Financial services will lead the charge in the implementation of AI. Africa’s mobile phone market has expanded to become larger than either the EU or the United States with some 650 million subscribers (2016 data). At the same time, Internet…Continue
Added by Vinod Sharma on September 18, 2017 at 7:30pm — No Comments
Even just five years back, Artificial Intelligence (AI) was still the stuff of science fiction, confined to research labs and tech giants’ showcases. It was pretty similar to the auto show concept car – there to be admired but not to be touched. Today, though, AI is everywhere. Whether it’s virtual assistants scheduling our meetings, facial recognition software or increasingly autonomous cars, AI is making itself felt in all our private and professional lives. One thing is certain – AI…Continue
Added by Jean-Cyril Schutterle on September 18, 2017 at 3:30am — No Comments
Drones flying in the skies to deliver packages to customers, is how technology based on data and analytics is likely to impact retail industry and consumers both – in near future. New ways and means of understanding the customers are emerging and both, online and offline retailers are embracing this data first strategy. These retailers are trying their level best to match customers to products and services.
Retail is increasingly becoming a data driven…Continue
Added by Chirag Shivalker on September 16, 2017 at 11:00am — 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.
Added by Vincent Granville on September 16, 2017 at 8:30am — No Comments
This is our third post of a new series featuring articles published long ago. We manually selected articles that were most popular or overlooked, time-insensitive (for instance we eliminated articles about data science products because software packages and platforms have evolved so much over the last few years) and we only kept articles that still make sense and are useful today. Our previous edition …Continue
Summary: Performance comparison for the popular Deep Learning frameworks supported by Keras – TensorFlow, CNTK, MXNet and Theano
If there are any doubts in regards to the popularity of Keras among the Data Scientist/Engineer community and the mindshare it commands, you just need to look at the support it has been receiving from all major AI and Cloud players. Currently the official Keras release already supports Google's TensorFlow and Microsoft's CNTK deep…Continue
Equestrian sports is one of the oldest forms of sports entertainment. Its history can be dated back to the ancient Greek civilization. Since then, the trots have transcended the periodical barriers from time to time, walking stride to stride with the age-specific customs, and entertaining the crowds in the process. And,…Continue