When it comes to finding the best people, there’s no such thing as too many interviews, right? Thankfully, for all parties involved, that’s actually not the case. After studying candidates and their outcomes at Google, we discovered that you could tell with 86% confidence whether or not someone should be hired after four interviews by averaging their interview scores. We only gained 1% of additional confidence with each added interview, making them a waste of both the candidate and the interviewer’s time. We also discovered that with the exception of one engineer in a highly specific role, no single interviewer, no matter how experienced, was more accurate than four interviewers combined. So the next time you’re thinking about bringing a candidate back in for one more round of conversations with the team, think about whether that’s really necessary. You might already have all the info you need! #workrules#hiring#interviewing
http://deeplearning4j.org/ is a deep learning library written in Java: it contains implementations of Restricted Boltzmann machines Convolutional Neural Networks Denoising Autoencoders Deep Belief Networks Deep Auto Encoder Deep Neural Tensor Networks Stacked Autoencoder
A 7.9 magnitude earthquake struck Nepal near the capital of Kathmandu. Immediate rescue efforts are underway and the estimated death toll continues to rise. The full extent of the damage is still being assessed, but aid groups are mobilizing to provide support and emergency supplies to the people impacted by the earthquake. All donations to this fund will exclusively support relief and recovery efforts in Nepal. We will update on an ongoing basis...
The association of the colors Red for Republicans and Blue for Democrats was sealed during the 2000 election. Around 1976 the association was in fact opposite where Red symbolized the more liberal party based on Great Britain's political system.
exciting new features: Data frames: Spark SQL and DataFrames - Spark 1.3.0 Documentation New ML algorithms: latent Dirichlet allocation (LDA) for topic modeling, : https://issues.apache.org/jira/browse/SPARK-1405
multinomial logistic regression for multiclass classification (so far they only had binary classification Gaussian mixture model (GMM) and power iteration clustering for clustering, FP-growth for frequent pattern mining, and block matrix abstraction for distributed linear algebra https://issues.apache.org/jira/browse/SPARK-4409
Theory of Computation
Formal Languages & Automata
Probability & Statistics
VLSI Systems Design
Computer Organization & Architecture
20th Century Philosophy
Graduated in Computer Science from IIT-G and ever since taken up multiple hats as a software engineer, product manager and an architect for managing excellence through execution. I have delivered over 20 large scale high volume transactional systems primarily in the J2EE domain for fortune 500 customers. 14 yrs of industry experience. Passionate about Space and building enabling technologies. Ardent believer in GODEL!
My interests lie in Machine Learning, Deep Learning, Big Data Platforms and Neural Networks.
Aquarian, Ardent fan of Illayaraja and Admirer of Godelian thought
Graduated in Computer Science from IIT-G, Do things the right way, Successfully delivered 20+ large scale and business critical application on time and to budget, Awesome balance of theory and practicality.
Software Engineer & Team builder
Machine learning, Big Data Platforms, Large Scale Architecture
Architect and Technical Delivery Manager, 2004 - 2013
Software Engineer, 2003 - 2004
Software Engineer, 2002 - 2003
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