Using Data To Improve Performance in Nonprofits
Performance management can be viewed as a systematic process that enables organizations to improve the productivity of employees in a team framework. The approach is impl...
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Under the Hood With Chatbots
Summary: This is the second in our chatbot series. Here we explore Natural Language Understanding (NLU), the front end of all chatbots. We’ll discuss the programm...
The Three Way Race to the Future of AI. Quantum vs. Neuromorphic vs. High Performance Computing
Summary: There’s a three way technology race to bring faster, easier, cheaper, and smarter AI. High Performance Computing is available today but so are new commerci...
21 Curated Blogs About Deep Learning and Data Science
The following articles were recently hand-picked, and curated by one of our interns, Amelia. They quickly became popular, and cover dozens of topics of interest to data s...
How Open Source boosts the Big Data-Driven Business
Open Source offered fertile ground for digital transformation. Though Open Source revolutionized software, it now has an impact in larger business fields. But this phenom...
Implementing kd-tree for fast range-search, nearest-neighbor search and k-nearest-neighbor search algorithms in 2D in Java and python
The following problem appeared as an assignment in the coursera course Algorithm-I by Prof.Robert Sedgewick from the Princeton University few years back (and also i...
Improving life with IoT and Analytics
Last weekend I went to attend one event hosted by GE digital in association with T-HUB and Idea labs. The event was about industrial IoT and Predix Platform developed by ...
Neural Networks: Crash Course On Multi-Layer Perceptron
This article was written by Jason Brownlee. Artificial neural networks are a fascinating area of study, although they can be intimidating when just getting started. Th...
Handbook of Neural Computation 1st Edition, Elsevier,2017
Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical ...
Key Factors in The Successful Use of Machine Learning
Finding patterns within the data is not always an easy task. It requires a lot of hard work because the patterns are often buried deep in the data. To make sure that you ...