Big Data Analytics Forecast : The Streaming Future
“Information is the oil of the 21st century, and Analytics is the combustion engine.” The Volume, Variety and Velocity of data coming into your organizatio...
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A Short History of Machine Learning
It’s all well and good to ask if androids dream of electric sheep, but science fact has evolved to a point where it’s beginning to coincide with science fiction. No...
Is Data Science Ripe for a Massive Merger & Acquisition / Consolidation?
Guest blog post by Florian Douetteau. Originally posted here. The original title is “Will Balkanization of Data Science lead to one Empire or many Republics?”...
Is deep learning a Markov chain in disguise?
Andrej Karpathy’s post “The Unreasonable Effectiveness of Recurrent Neural Networks” made splashes last year. The basic premise is that you can create a recurrent n...
Big Data: 17 Predictions Everyone Should Read
This article was written by Bernard Marr. Almost everyone can agree that big data has taken the business world by storm, but what’s next? Will data continue to grow...
12 Emerging Trends in Data Analytics
Data Science Central shared its predictions for 2016. More predictions can be found here. In this article, we share Scott Mongeau’s predictions. The full version ...
Tutorial – Getting Started with GraphLab For Machine Learning in Python
This article was written by Sunil Ray. Sunil is a Business Analytics and Intelligence professional with deep experience in the Indian Insurance industry. Introduction ...
11 Important Model Evaluation Techniques Everyone Should Know
Model evaluation metrics are used to assess goodness of fit between model and data, to compare different models, in the context of model selection, and to predict how pre...
Predictive Analytics: The Command to Forecast Who will Connect, Purchase, Gain or Drain
Whether you love it or hate it, predictive analytics has already helped elect presidents, discover new energy sources, score consumer credit, assess health risks, detec...
Which jobs will AI (Artificial Intelligence) kill?
AI was very popular 30 years ago, then disappeared, and is now making a big come back because of new robotic technologies: driver-less cars, automated diagnostic, IoT�...